4c
Libreria skill
Quali skill esistono, chi le ha in dotazione e quanto pesano in token?
▸ tutte le skill, per famiglia
Sulla macchina ci sono 208 skill fra dotazioni, libreria condivisa, fabbrica e workshop — 153 nomi unici, una riga ciascuno qui sotto. Quelle installate nel workspace di ciascun agente sono: 🐱 Romeo 62 · 🛠️ Archimede 38 · 💰 Creso 3 · 🦉 Catone 0 · 🦉 Catone (Opus) 0 · 🕊️ Seneca 0 — e a ognuno si aggiungono le 51 di fabbrica (pacchetto npm di OpenClaw), uguali per tutti. Quante ne carichi davvero un agente nel suo prompt (i plugin ne portano altre) dal disco non si legge: qui non si scrive.
34 non installate · ⚪ 32 mai vettate · ⏳ 11 col codice cambiato dopo il controllo · ❔ 54 di provenienza da accertare. Il ⚪ si mostra su comunità e non installate (altrove non direbbe niente di nuovo), ma un voto che esiste si vede sempre; le 51 di fabbrica sono ufficiali (OpenClaw, dedotto dalla posizione nel pacchetto npm) e restano fuori dal conto — arrivano col pacchetto, non le abbiamo scelte noi. ⚪ non vuol dire «a posto»: vuol dire che nessuno l'ha ancora guardata.
📋 13 record orfani nel registro: hanno una scheda ma sul disco, dove CATPIT guarda, non c'è nessuna skill con quel nome — quindi non compaiono qui sopra. approfondimento-investimenti · costruzione-cyber-quotidiana · costruzione-kb-quotidiana · kb-ramo1-scienze · kb-ramo2-tecnologia · kb-ramo3-economia · kb-ramo4-umanistiche · kb-ramo5-arti · academy-guide · discernment-nudge · internal-comms · slack-gif-creator · template
⚠ cartelle senza SKILL.md — sul disco ci sono, ma l'agente non le vede, quindi non sono contate: 🐱 windows-control
▸Gusto per le interfacce16Regole e stili per DISEGNARE bene una UI (tipografia, palette, anti-template)
Agentic UX Design - Relationship-Centric Interfaces(relationship-design)👥⚪librerianon installataDesign AI-first interfaces that build ongoing relationships through memory, trust evolution, and collaborative planning, not just isolated screen interactionsbencium-controlled-ux-designer👥⏳🐱🛠️Expert UI/UX design guidance for unique, accessible interfaces. Use for visual decisions, colors, typography, layouts. Always ask before making design decisions. Use this skill when the user asks to build web components, pages, or applications.bencium-impact-designer👥⚪librerianon installataCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics. Based on Anthropic's Frontend Designer Skillbencium-innovative-ux-designer👥⏳🐱🛠️Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.design-audit👥🟢🐱🛠️Premium UI/UX design audit and refinement skill. Conducts systematic visual audits of existing apps and produces phased, implementation-ready design plans. Use this skill whenever the user asks to audit a UI, improve an app's visual design, make an interface feel more polished or premium, review design consistency, fix visual hierarchy, or refine spacing/typography/color. Also trigger when the user says "design review", "make it look better", "UI polish", "visual refinement", "design pass", "audit the design", or references making an app feel more professional. This skill is purely visual — it does not touch functionality, logic, or features. It elevates what exists.design-taste-frontend(taste-skill)👥🟡⚙🐱libreriaAnti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.design-taste-frontend-v1(taste-skill-v1)👥⚪librerianon installataThe original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.frontend-design🅰️🟢🐱🛠️Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.gpt-taste(gpt-tasteskill)👥⚪librerianon installataElite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.high-end-visual-design(soft-skill)👥⏳🐱🛠️libreriaTeaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.industrial-brutalist-ui(brutalist-skill)👥⏳🐱🛠️libreriaRaw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.minimalist-ui(minimalist-skill)👥🟢🐱🛠️libreriaClean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.redesign-existing-projects(redesign-skill)👥🟢🐱🛠️libreriaUpgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.stitch-design-taste(stitch-skill)👥⏳🐱🛠️libreriaSemantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.ui-typography(typography)👥⚪librerianon installataProfessional typography rules for UI design, web applications, software interfaces, and all screen-based text. Enforces timeless typographic correctness that LLMs consistently get wrong: proper quote marks, dashes, spacing, hierarchy, and layout. ENFORCEMENT MODE: When generating ANY HTML, CSS, React, JSX, or UI code containing visible text, auto-apply every rule in this skill silently — do not ask, do not explain, just produce correct typography. AUDIT MODE: When reviewing or improving existing interfaces or legacy code, flag violations and provide fixes. Trigger on: any HTML/CSS/React artifact creation, "build a landing page", "create a component", "design a UI", "fix the typography", "make this look professional", "review this layout", web design, presentation design, dashboard creation, document generation, or any task producing visible text for humans. Even if the user doesn't mention typography, apply these rules whenever generating UI output.ui-ux-pro-max👥🟢🐱🛠️UI/UX design intelligence for web, mobile, and desktop. This skill should be used when designing, building, reviewing, or fixing interfaces, including pages, components, design systems, accessibility, interaction, responsive layout, typography, color, charts, and stack-specific UI implementation. Searchable local data: 79 searchable styles (50 active), 192 product palettes and reasoning profiles, 74 font pairings, 119 UX guidelines, 105 icons, 17 GSAP presets, 25 chart types, and 22 stacks.
▸n8n (pacchetto)16Tutto ciò che serve a costruire e mantenere flussi n8n
n8n-agents❔🐱Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extractor — and whenever the user mentions AI agents, LLM with tools, tool calling, $fromAI, system prompts, agent memory, sessionId, structured/JSON output, output parser, RAG, vector store, a chat assistant/bot, or human-in-the-loop review. Covers Agent-vs-chain-vs-classifier choice, the model/memory/tools/outputParser slots, tool names/descriptions as prompt, structured output with autoFix, memory, RAG, human review, and chat topologies.n8n-binary-and-data❔🐱Handle files and binary data in n8n correctly. Use when working with files, images, PDFs, attachments, uploads or downloads, base64, vision/multimodal input, or when an AI agent needs a file as tool input or output — and whenever the user mentions $binary, binaryPropertyName, "read the PDF", "attach the file", "send the image", Merge losing binary, or a CDN for chat images. Covers the $binary vs $json split, reading/writing binary, keeping binary alive across transforms with Merge, the agent-tool binary boundary, and the CDN/URL requirement for chat surfaces.n8n-code-javascript❔🐱Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node errors, choosing between Code node modes, or doing any custom data transformation in n8n. Always use this skill when a workflow needs a Code node — whether for data aggregation, filtering, API calls, format conversion, batch processing logic, or any custom JavaScript. Covers SplitInBatches loop patterns, cross-iteration data, pairedItem, and real-world production patterns. Also use when asked why a Code node or workflow is slow, which execution mode is faster, or how to cut per-item overhead on large datasets. EXCEPTION — for the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode, a tool attached to an AI Agent), use the n8n-code-tool skill instead; it has a different runtime contract.n8n-code-python❔🐱Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. Use this skill when the user specifically requests Python for an n8n Code node. Note — JavaScript is recommended for 95% of use cases — only use Python when the user explicitly prefers it or the task requires Python-specific standard library capabilities (regex, hashlib, statistics). EXCEPTION — for Python in the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode), use the n8n-code-tool skill instead (input is _query, return must be a string).n8n-code-tool❔🐱Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will invoke, parsing the `query` input, returning a string result, defining an input schema for structured arguments (specifyInputSchema, jsonSchemaExample, DynamicStructuredTool), or troubleshooting errors like \"Wrong output type returned\", \"No execution data available\", \"The response property should be a string, but it is an object\", \"Cannot assign to read only property 'name'\", or an AI agent that refuses to call the tool. Covers the critical differences between Code node and Code Tool: return format (string vs `[{json:{...}}]`), unavailability of `$fromAI`/`$input`/`$helpers` in the Code Tool sandbox, naming rules for AI invocation, and when to use `toolWorkflow`/HTTP Request Tool instead.n8n-error-handling❔🐱Wire n8n error handling so failures are loud, structured, and recoverable. Use when building any webhook/API workflow, a scheduled or unattended workflow, or any path where a silent failure would drop user-visible work — and whenever the user mentions error handling, onError, continueErrorOutput, error branches/outputs, retries, retryOnFail, Respond to Webhook status codes, 4xx/5xx, Error Trigger, or "my workflow fails silently". Covers per-node error outputs and wiring, retry/self-healing, error-trigger workflows, and 4xx/5xx response shapes.n8n-expert(n8n-expert-20260709-0e46e5dfff)❔⚪⚙libreriaworkshopnon installataComprehensive guide for building, debugging, and optimizing n8n workflows. Use when users ask about (1) creating or modifying n8n workflows, (2) understanding n8n nodes, triggers, or expressions, (3) connecting APIs and services in n8n, (4) troubleshooting workflow errors, (5) n8n best practices, (6) building AI workflows with n8n, (7) custom nodes or HTTP requests, or (8) any n8n-related automation tasks.n8n-expression-syntax❔⚙🐱Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, mapping data between nodes, or referencing webhook data in workflows. Use this skill whenever configuring node fields that reference data from previous nodes — expressions are how n8n passes data between nodes, and getting the syntax wrong is the most common source of workflow errors. Also use when asked whether a complex expression hurts performance.n8n-mcp-tools-expert❔⚙🐱Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns. IMPORTANT — Always consult this skill before calling any n8n-mcp tool — it prevents common mistakes like wrong nodeType formats, incorrect parameter structures, and inefficient tool usage. If the user mentions n8n, workflows, nodes, or automation and you have n8n MCP tools available, use this skill first.n8n-multi-instance❔🐱Use when an n8n-mcp account targets more than one n8n instance — i.e. the `n8n_instances` tool is available, the user mentions multiple n8n instances or environments (prod vs staging, several teams or clients), a workflow / datatable / credential / execution call returns an unexpected NOT_FOUND or reads data you don't recognize, or a credential create/update/delete is refused with an `INSTANCE_AMBIGUOUS` error. Covers choosing and switching which instance this MCP session targets, verifying the target before high-stakes work — credential writes above all — and recovering from misroutes and ambiguous-write fail-closes. Always consult this skill before operating on a specific instance, before any credential create/update/delete on a multi-instance account, or when a call hits the wrong/empty data or an `INSTANCE_AMBIGUOUS` error.n8n-node-configuration❔🐱Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type. Always use this skill when setting up node parameters — it explains which fields are required for each operation, how displayOptions control field visibility, and when to use patchNodeField for surgical edits vs full node updates.n8n-self-hosting❔🐱Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on their own server/VPS/box (Hetzner, DigitalOcean, AWS EC2, bare metal, etc.) — in either single/regular mode or queue mode with workers — or to update, back up, restore, or harden such an instance. This is for SELF-HOSTED n8n (Docker), not n8n Cloud and not building workflows. The skill makes the agent ask single-vs-queue first, collect the domain/SSH/timezone inputs, generate fresh secrets on the box, and bring the stack up with TLS. Trigger on "deploy n8n", "self-host n8n", "install n8n on my server", "n8n docker compose", "n8n queue mode / workers / scaling", "n8n reverse proxy / SSL", or "back up / update my n8n".n8n-subworkflows❔🐱Build reusable, composable n8n sub-workflows. Use when extracting shared logic, building anything multi-step or reused across workflows, or any workflow over ~10 nodes — and whenever the user mentions sub-workflows, Execute Workflow, reuse, shared/common logic, modular workflows, "Define Below" inputs, waitForSubWorkflow, mode each vs all, or exposing a workflow as an agent tool. Covers typed sub-workflow inputs, all-vs-each execution, verb-first naming for discovery, stateless vs stateful design, and splitting by input shape.n8n-validation-expert❔🐱Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, the validation loop process, or auto-fix capabilities. Consult this skill whenever a validate_node or validate_workflow call returns errors or warnings — it knows which warnings are false positives and which errors need real fixes.n8n-workflow-patterns❔🐱Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, batch processing, or scheduled tasks. Always consult this skill when the user asks to create, build, or design an n8n workflow, automate a process, or connect services — even if they don't explicitly mention 'patterns'. Covers webhook, API, database, AI, batch processing, and scheduled automation architectures. Also use when optimizing a slow workflow or speeding up large-item-count processing (node count, batchSize, all-items vs per-item).using-n8n-mcp-skills❔⚙🐱Use when building, editing, validating, testing, or debugging an n8n workflow through the n8n-mcp MCP server — designing a flow, configuring a node, writing an expression or Code node, wiring credentials, or fixing one that misbehaves. The entry-point skill for the n8n-mcp-skills pack: it routes you to the right specialist skill, gives working knowledge of every n8n-mcp tool from turn one, and states the rules that keep workflows from breaking in production. Always consult it first on any n8n, workflow, node, or automation task — even a quick one-off, and even when the user names no skill — because n8n's surface drifts between versions and the specialist skills prevent silent failures.
▸Servizi e app esterne14Un connettore per servizio: Notion, Trello, Google, mail, X, meteo…
1password❔⚙fabbricaSet up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.apple-notes❔fabbricaCreate, view, edit, delete, search, move, or export Apple Notes via the memo CLI on macOS.apple-reminders❔fabbricaList, add, edit, complete, or delete Apple Reminders and reminder lists via remindctl.bear-notes❔⚙fabbricaCreate, search, and manage Bear notes via grizzly CLI.gog❔fabbricaGoogle Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.goplaces❔⚙fabbricaQuery Google Places for text search, place details, resolve, reviews, or scriptable JSON via goplaces.himalaya❔fabbricaHimalaya CLI for IMAP/SMTP mail: list, read, search, compose, reply, forward, copy, move, delete.notion❔⚙fabbricaNotion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.obsidian❔fabbricaWork with Obsidian vaults using the official obsidian CLI: read/search/create/edit notes, tasks, links, properties, plugins.ordercli❔⚙fabbricaFoodora-only CLI for checking past orders and active order status (Deliveroo WIP).things-mac❔⚙fabbricaAdd, update, list, search, or inspect Things 3 todos, inbox, today, projects, areas, and tags on macOS.trello❔⚙fabbricaManage Trello boards, lists, and cards via the Trello REST API.weather❔fabbricaCurrent weather and forecasts with web_fetch, falling back to wttr.in curl for locations, rain, temperature, travel planning.xurl❔fabbricaxurl CLI for authenticated X posts, replies, reads/search, DMs, media upload, followers, auth status, or raw v2 API calls.
▸Grafica, brand e asset13Produrre immagini: loghi, banner, pixel art, poster, diagrammi, temi, meme
algorithmic-art❔🛠️Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.banner-design👥⚪librerianon installataDesign banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.brand👥⏳🐱🛠️Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.brand-guidelines❔🛠️Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.brandkit👥⚪librerianon installataPremium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.canvas-design❔🛠️Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.design👥⏳⚙🐱🛠️Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.diagram-maker❔fabbricaCreate SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.meme-maker❔fabbricaSearch meme templates, suggest formats, and generate local or hosted image memes.pixel-art-pixellab❔⚙🛠️libreriaGenera immagini in PIXEL ART (personaggi, sprite, icone, tile, sfondi) da una descrizione testuale, usando l'API di PixelLab. Usala quando serve creare arte pixel per i progetti (es. avatar, asset CATPIT, grafica retro). Supporta dimensioni fino a 400x400, sfondo trasparente e palette forzata per mantenere coerenza tra più immagini.pixel-prompt-catpit❔🛠️libreriaGenera asset PixelLab ON-BRAND e ANIMATI per CATPIT (gatti che si muovono, ufficio). Regole API v2, pipeline Character (personaggi animati e coerenti), stile, e i 7 criteri di qualità della scena. Usala per ogni sprite/animazione del Visual Office o della pagina Team. Esegue la generazione la skill `pixel-art-pixellab`.slides👥⚪librerianon installataCreate strategic HTML presentations with Chart.js, design tokens, responsive layouts, copywriting formulas, and contextual slide strategies.theme-factory❔🐱🛠️Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
▸Metodo e revisione del codice13Come si scrive codice semplice e come si giudica quello esistente (ponytail e affini)
bencium-code-conventions👥⚪⚙librerianon installataBence's code style, tech stack, and workflow conventionshuman-architect-mindset👥⚪librerianon installataSystematic architectural thinking for irreplaceable human capabilities - domain modeling, systems thinking, constraint navigation, and AI-aware problem decomposition. Use proactively when detecting architectural decisions, system design discussions, or multi-component planning.negentropy-lens👥⚪librerianon installataA decision-support framework that evaluates systems, architectures, and strategies through the entropy (decay) vs negentropy (growth) lens, while surfacing tacit knowledge gaps. Use this skill whenever the user is making architecture decisions, evaluating system designs, reviewing technical approaches, choosing between options, auditing existing systems, or planning strategies. Also trigger when the user explicitly asks to "apply the negentropy lens", mentions "entropy", "negentropy", "tacit knowledge", "knowledge engine", or "flip the switch". Nudge activation when you detect the user is at a decision point — even if they haven't asked for this lens — by briefly noting the entropic/negentropic dimension before proceeding.oracle❔⚙fabbricaOracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.ponytail❔🐱🛠️Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).ponytail-audit❔🐱🛠️Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/ponytail-audit". One-shot report, does not apply fixes.ponytail-debt❔🐱🛠️Harvest every `ponytail:` comment in the codebase into a debt ledger, so the deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". Use when the user says "ponytail debt", "/ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or "what did we mark to do later". One-shot report, changes nothing.ponytail-gain❔🐱🛠️Show ponytail's measured impact as a compact scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot display, not a persistent mode, and not a per-repo number. Trigger: /ponytail-gain, "ponytail gain", "what does ponytail save", "show ponytail impact", "ponytail scoreboard".ponytail-help❔🐱🛠️Quick-reference card for all ponytail modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /ponytail-help, "ponytail help", "what ponytail commands", "how do I use ponytail".ponytail-review❔🐱🛠️Code review focused exclusively on over-engineering. Finds what to delete: reinvented standard library, unneeded dependencies, speculative abstractions, dead flexibility. One line per finding: location, what to cut, what replaces it. Use when the user says "review for over-engineering", "what can we delete", "is this over-engineered", "simplify review", or invokes /ponytail-review. Complements correctness-focused review, this one only hunts complexity.renaissance-architecture👥⚪librerianon installataSoftware architecture and UI/UX principles for building genuinely new solutions, not derivative work. Use when designing features, architecting software, brainstorming apps, reviewing designs, or during strategy discussions. Focuses on first-principles thinking, simplicity where it matters, and creating rather than commenting.spike❔fabbricaRun throwaway prototypes to validate feasibility, compare approaches, and report a verdict.vanity-engineering-review👥⚪librerianon installataReviews codebases, architectures, PRs, and technical plans for vanity engineering — code and systems built for the developer's ego, resume, or intellectual pleasure rather than delivering user or business value. Triggers on: "review this code", "is this over-engineered", "code review", "architecture review", "complexity audit", "vanity check", "is this necessary", "simplify this", "tech debt review", or any request to evaluate whether code or architecture is justified by actual requirements. Also trigger when the user shares a codebase and asks for feedback, when discussing framework/library choices, when reviewing PRs, or when someone is debating whether to refactor or rebuild. Nudge activation when you detect patterns of unnecessary abstraction, premature optimization, or resume-driven technology choices in code the user shares — even if they haven't asked for a vanity review.
▸Attrezzi da sviluppatore11Git(Hub), debugger, Docker, MCP, test di webapp, riferimenti API
claude-api🅰️⚙🐱🛠️Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).docker-expert❔⚙🛠️libreriaComprehensive guide for Docker container management, compose configurations, volume management, networking, and troubleshooting. Use when the user asks about (1) creating or modifying Docker containers, (2) writing docker-compose.yml files, (3) managing volumes and data persistence, (4) Docker networking and port mapping, (5) container troubleshooting and logs, (6) migrating or reorganizing Docker data, (7) Windows-specific Docker configurations, or (8) any Docker-related questions.gemini❔fabbricaGemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.gh-issues❔⚙fabbricaFetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.github❔fabbricaGitHub CLI for issues, PRs, CI/check logs, comments, reviews, releases, repos, and gh api queries.mcp-builder❔🛠️Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).mcporter❔fabbricaList, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.node-inspect-debugger❔fabbricaDebug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.python-debugpy❔fabbricaDebug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.tmux❔fabbricaControl tmux sessions/panes for interactive CLIs: list, capture output, send keys, paste text, monitor prompts.webapp-testing🅰️⏳🐱🛠️Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
▸L'agente stesso11Come l'assistente impara, ricorda, parla e si costruisce nuove skill
adaptive-communication👥⚪librerianon installataUse when detecting ambiguous user intent, hedging language, open-ended framing, personal context before requests, or when unsure whether user wants exploration vs direct answer. Applies to all conversations.caveman❔⚙🐱🛠️Modalità di comunicazione ultra-compressa. Taglia ~65% dei token di OUTPUT (misurato) parlando come un caveman intelligente, mantenendo intatta tutta la sostanza tecnica. Livelli di intensità: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Usa quando l'utente dice "caveman", "modalità caveman", "meno token", "sii breve", o invoca /caveman. Anche auto-trigger quando è richiesta efficienza sui token.clawhub❔fabbricaSearch ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.consolidate-memory❔🐱libreriaReflective pass over your memory files — merge duplicates, fix stale facts, prune the index.context-engineering❔🐱Cura cosa il modello sa: file di contesto, livelli (sistema/progetto/sessione/conoscenza), riepiloghi di passaggio, gestione della context window. Usala per impostare/aggiornare contesto e chiudere sessioni con un handoff.prompt-engineering❔⚪librerianon installataComprehensive guide for crafting effective prompts that maximize LLM output quality. Use when (1) writing or reviewing system prompts, (2) optimizing prompts for better results, (3) creating prompts for specific use cases (coding, writing, analysis), (4) troubleshooting poor LLM responses, or (5) teaching prompt engineering techniques.prompting❔🐱Scrive o migliora prompt di alta qualità (ruolo, obiettivo, vincoli, formato, esempi). Usala quando Ettore chiede di creare/rivedere un prompt o un system prompt di agente.self-improving-agent❔🐱🛠️💰Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.setup-cowork❔🐱libreriaGuided Cowork setup — install role-matched plugins, connect your tools, try a skill.skill-creator❔⚙🐱🛠️fabbricaCreate new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.skill-vetter❔⚙🐱🛠️Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
▸Cercare e leggere il web9Motori di ricerca, scraping, riassunti di pagine e feed
agentreach🏠🔴librerianon installata[SCHEDA DI VALUTAZIONE - non e' una skill scaricata] Agent Reach: da' all'agente la via di accesso alle piattaforme social. VERDETTO 01/09/2026: NON SERVE - salva su disco i gettoni di accesso agli account e si auto-aggiorna scaricando istruzioni da un file che l'autore puo' cambiare quando vuole. Non installare.blogwatcher❔fabbricaMonitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI.perplexity-search(perplexity-search-20260709-f3f43b2508)❔workshopRicerca web con Perplexity: risposta sintetizzata con fonti aggiornate. Per spiegazioni, confronti, stato dell'arte.scrapegraphai🏠⚪librerianon installata[SCHEDA DI VALUTAZIONE - non e' una skill scaricata] ScrapeGraphAI: estrae dati da una pagina descrivendo a parole cosa si vuole, invece di scrivere le regole di estrazione. VERDETTO 01/09/2026: SERVE DOPO - lo sviluppo si e' spostato sul servizio a pagamento e sui numeri (i prezzi) il modello puo' inventare valori.scrapling-mcp🏠🟡librerianon installata[SCHEDA DI VALUTAZIONE - non e' una skill scaricata] Scrapling + il suo server MCP: legge pagine web che si difendono dagli automatismi, gira tutto sul mini PC, nessun dato esce di casa e nessun costo per chiamata. VERDETTO 01/09/2026: SERVE ADESSO, in attesa del controllo di sicurezza di Archimede e dell'OK di Ettore.serpapi-search(serpapi-search-20260709-926a5bfe99)❔workshopRicerca web con SerpApi: SERP grezza di Google/Bing (organic, answer box). Per vedere cosa mostra davvero il motore.smart-search(smart-search-20260712-4c95f0f167)❔🐱workshopGuida gli agenti nella scelta dello strumento di ricerca web più adatto al contesto.summarize❔⚙fabbricaSummarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.tavily-search(tavily-search-20260709-7934e64596)❔workshopRicerca web con Tavily: answer + fonti strutturate con snippet, pensata per agenti/RAG. Per raccogliere fonti da riusare.
▸Audio, voce e video7Trascrivere, sintetizzare voce, estrarre frame, spettrogrammi, GIF
gifgrep❔⚙fabbricaSearch GIF providers with CLI/TUI, download results, and extract stills/sheets.openai-whisper❔⚙fabbricaLocal speech-to-text with the Whisper CLI (no API key).openai-whisper-api❔⚙fabbricaOpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.sag❔⚙fabbricaElevenLabs text-to-speech with mac-style say UX.sherpa-onnx-tts❔fabbricaLocal text-to-speech via sherpa-onnx (offline, no cloud)songsee❔fabbricaGenerate spectrograms and feature-panel visualizations from audio with the songsee CLI.video-frames❔fabbricaExtract frames or short clips from videos using ffmpeg.
▸Regole di casa7Le procedure specifiche di questo sistema: CATPIT, repo degli agenti, Discord, Airtable
airtable-progetti❔⚙🐱Legge e (con conferma) scrive la base Airtable "Attività e Progetti" di Ettore via API REST.allinea-fonte-verita(allinea-fonte-verita-20260802-17bacb62bb)❔workshopLa catena esatta per allineare la verita dopo ogni consegna: CATPIT, ELENCO, mappa cartelle, commit, Airtable. Per Romeo.archivista❔🐱Tiene in ordine cartelle e file secondo le convenzioni della casa (nomi, frontmatter YAML, link Obsidian, posizione giusta) e mantiene coerenti gli indici/mappa. Usala per riordinare una cartella, controllare che i file siano al posto giusto, o fare il check globale di coerenza (ruolo di Romeo). Non sposta né cancella senza conferma.catpit-dev(catpit-dev-20260815-8ca36d0de1, catpit-dev-20260802-1d12e7fec7)❔workshopCome si lavora su CATPIT: verifiche vere, gate mobile e contrasto, riferimenti non copie, protocollo di consegna e trappole gia' pagate.discord-admin❔⚙🐱Crea e gestisce canali e categorie del server Discord di Ettore via API REST (col token del bot). Usala quando ti chiede di creare/rinominare/spostare/eliminare canali o categorie.git❔⚙🐱🛠️Igiene git sul repo degli agenti e su CATPIT — leggo status prima di agire, commit atomici con messaggi parlanti, backup/branch prima di modifiche grosse, mai committare segreti. Usala ogni volta che salvo lavoro su "Agente Residente openclaw" o sull'app catpit.loop-e-coda(loop-e-coda-20260802-b99ec9b8d3)❔workshopCome un loop autonomo pesca dalla coda CATPIT, quando si ferma, e come si scrive una richiesta a Ettore. Per Romeo.
▸Casa e impianti6Domotica e impianti fisici: luci, casse, letto, telecamere, Spotify
blucli❔fabbricaBluOS CLI (blu) for discovery, playback, grouping, and volume.camsnap❔fabbricaCapture frames or clips from RTSP/ONVIF cameras.eightctl❔fabbricaControl Eight Sleep pods (status, temperature, alarms, schedules).openhue❔fabbricaControl Philips Hue lights and scenes via the OpenHue CLI.sonoscli❔fabbricaControl Sonos speakers (discover/status/play/volume/group).spotify-player❔fabbricaTerminal Spotify playback/search via spogo (preferred) or spotify_player.
▸Costruire le interfacce6I mattoni per REALIZZARLE: componenti, design token, immagini di riferimento
design-system👥⏳🐱🛠️Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.image-to-code(image-to-code-skill)👥⚪librerianon installataElite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.imagegen-frontend-mobile👥⚪librerianon installataElite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.imagegen-frontend-web👥⚪librerianon installataElite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.ui-styling👥⏳🐱🛠️Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.web-artifacts-builder🅰️⏳🐱🛠️Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
▸File d'ufficio5Word, Excel, PDF, PowerPoint: leggerli e scriverli
docx❔🐱Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.nano-pdf❔fabbricaEdit PDFs with natural-language instructions using the nano-pdf CLI.pdf❔🐱🛠️💰Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.pptx❔🐱Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.xlsx❔🐱💰Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
▸Pianificare e delegare5Attività programmate (cron), promemoria, lavori multi-passo e lavoro delegato ad altri agenti
coding-agent❔fabbricaDelegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.cron-admin❔⚙🐱🛠️libreriaCrea, elenca, mostra, avvia, modifica e rimuove attività programmate (cron) di OpenClaw. Usala quando Ettore chiede di programmare un'attività ricorrente o a un orario ("ogni mattina", "ogni lunedì", "alle 7", "tra un'ora"). Esegue i comandi cron con i privilegi admin del gateway e VERIFICA SEMPRE il risultato con cron list prima di confermare.schedule❔🐱libreriaCreate or update a scheduled task that runs automatically. Use when the user says things like \"every day\", \"each morning\", \"remind me in an hour\", \"run this at noon\", or wants to reschedule an existing task.taskflow❔fabbricaCoordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.taskflow-inbox-triage❔fabbricaExample TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.
▸Salute del sistema4Diagnosi e costi di OpenClaw: hardening, nodi, log di sessione, spesa modelli
healthcheck❔fabbricaAudit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.model-usage❔fabbricaSummarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.node-connect❔fabbricaDiagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.session-logs❔fabbricaSearch and analyze your own session logs (older/parent conversations) using jq.
▸Scrivere per gli altri4Testi destinati a persone: documenti, comunicati interni, campagne, umanizzazione
bencium-aeo👥⚪librerianon installataGenerate AEO-optimized content (Answer Engine Optimization) for AI search visibility - ChatGPT, Claude, Gemini, AI Overviews. Use when optimizing websites for AI citations, creating FAQ schemas, evidence panels, or analyzing content for LLM extraction readiness.doc-coauthoring🅰️🐱Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.hungarian-humanizer👥⚪librerianon installataDetect and remove AI-generated markers from Hungarian text, making it sound like a native Hungarian speaker wrote it. Use when asked to "humanize", "naturalize", or "remove AI feel" from Hungarian text, or when editing .md/.txt files containing Hungarian content. Identifies 26 patterns (12 Hungarian-specific + 14 universal) and 4 style markers.insurgent-campaign👥⚪librerianon installataGrassroots-first campaign design for anyone being outspent — startups vs. incumbents, NGOs vs. corporate comms, movements vs. state-backed machines, solo brands vs. big-budget competitors. Ideates awareness, launch, fundraising, mobilization, community-build, counter-narrative, referral, founder-story, and coalition campaigns. Triggers on "campaign plan", "marketing strategy", "ad budget", "should I advertise", "paid vs organic", "launch plan", "grassroots", "low budget marketing", "NGO campaign", "outspent", "competitor has bigger budget", "how do I compete without money". Also trigger on any spend asymmetry, collapsing organic reach, rising CPAs, or a trust/credibility problem — even without the word "campaign". Nudge activation when the user debates buying ads, boosting posts, or hiring influencers; they are likely about to burn money on a channel that will not persuade.
da classificare — nella tassonomia manca la voce (6)
_ANTHROPIC_UFFICIALI❔⚪librerianon installata_archivio❔⚪librerianon installatacatpit-mappa(catpit-mappa-20260903-a810102a2b, catpit-mappa-20260903-1810d1aee2)❔🐱workshopLa mappa di CATPIT: dove leggerla, come verificare che sia fresca, come rigenerarla, i punti fissi. Prima di toccare stanze, rotte, dati o agenti.eu-ai-act-reviewer👥⚪librerianon installataReview user journeys, public content, and codebases for potentially relevant EU AI Act provisions, with exact official citations, evidence gaps, application dates, and plain-language next actions. Use for EU AI Act issue-spotting, not final legal or compliance decisions.peekaboo❔fabbricaCapture and automate macOS UI with the Peekaboo CLI.riallineamenti(riallineamenti-20260904-d1d25a746a, riallineamenti-20260904-0ad45ae062)❔🐱workshopPrima di iniziare e di chiudere un lavoro: apri la scheda del task in CATPIT, verifica i riferimenti, passa gli inneschi. Nessun riallineamento perso.
▸in libreria · condivisa MD_DB_v141
C:\Users\Ettore\Claude\Projects\MD_DB_v1\01_STRUMENTI_di_LAVORO\SKILLS16.263 token · Opus 5 (su 9/41)
▸in libreria · generate dallo Skill Workshop13
C:\Users\Ettore\.openclaw\skill-workshop\proposals15.455 token · Opus 5 (su 8/13)
▸in dotazione · skill attive per agente103
🐱Romeo62 skill
126.920 token · Opus 5 (su 29/62)
C:\Users\Ettore\.openclaw\workspace\skills
🛠️Archimede38 skill
31.228 token · Opus 5 (su 10/38)
C:\Users\Ettore\.openclaw\workspace-archimede\skills
💰Creso3 skill
8496 token · Opus 5 (su 1/3)
C:\Users\Ettore\.openclaw\workspace-creso\skills
🦉Catone0 skill
token non ancora contati
nessuna skill installata
C:\Users\Ettore\.openclaw\workspace-catone\skills
🦉Catone (Opus)0 skill
token non ancora contati
nessuna skill installata
C:\Users\Ettore\.openclaw\workspace-catone\skills
🕊️Seneca0 skill
token non ancora contati
nessuna skill installata
C:\Users\Ettore\.openclaw\workspace-seneca\skills
Stanza in sola lettura: da qui si visiona, non si installa (vetting + OK di Ettore). come si leggono i numeri →
Il peso in token è il conteggio esatto dell'endpoint Anthropic count_tokens sul solo file principale (SKILL.md, PROPOSAL.md per le proposte): i file accessori non sono compresi. Si legge dalla cache del vault, aprire la stanza non chiama nessuna API; a riempirla è npm run token:skill, e il ricalcolo sta in Identità (4b), che è la stanza che può scrivere. Il legame agente↔skill qui sopra è un dato letto dai workspace, non una struttura: la decisione q068 (libreria unica o dotazione per agente) resta aperta e non obbliga a rifare la stanza.
▸ chat skill — definisci · cerca · compatta
Il primo messaggio parte con l'inventario skill reale (agenti + libreria). La chat non installa niente: le installazioni passano dalla stanza, con vetting.
0 token sessione
nessun messaggio — chiedi a Romeo delle skill (es. “quali skill mancano a Creso?”)