- 📄 SKILL.md
llmlb-cli-usage
Practical guide for llmlb assistant CLI commands replacing the legacy MCP server flow.
Practical guide for llmlb assistant CLI commands replacing the legacy MCP server flow.
Best practices for building with Gadget. Use when developers need guidance on models, actions, routes, access control, Shopify/BigCommerce integrations, frontend patterns, API usage, testing setup, CI verification, ggt workflows, debugging, or parallel agent development loops. Triggers "model", "action", "route", "permission", "access control", "multi-tenancy", "Shopify", "BigCommerce", "frontend", "API client", "internal API", "filter", "sort", "pagination", "webhook", "background job", "testing", "ci", "ggt", "debugger", "logs", "problems
Interact with data.gouv.fr APIs — Main API (datasets, orgs, users, resources, reuses, discussions), Metrics API (usage/stats by model), Tabular API (query CSV rows by resource ID). Use when working with data.gouv.fr data, catalog, or platform features.
Create or modify tools (.json + .sh pairs) and skills (SKILL.md files) and hot-reload them into the active conversation using reload_capabilities. Use when you want to build a new capability, extend yourself with a new tool, fix an existing tool, create or update a skill, or build a complete application (web server, API, data pipeline, CLI) — all without restarting. --- ## Overview You can extend yourself at runtime. New tools and skills take effect immediately via `reload_capabilities` — no session restart required. Session-scoped capabilities live in `core/` inside your session directory: - **Tools**: `core/tools/<name>.json` (schema) + `core/tools/<name>.sh` (implementation) - **Skills**: `core/skills/<name>/SKILL.md` (frontmatter + body) **There is no limit on what a tool can do.** The shell script can call Python, Node.js, any language or binary on the system. Build first, use immediately. --- ## Building a tool
Add Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API.
Pathfinder is an agentic knowledge server. It provides semantic search over documentation and code, plus a sandboxed filesystem for browsing indexed content. Use it to find relevant docs, explore codebases, and save intermediate results.
Start the curaitor dashboard (hono/node-server webapp) and open it in a browser. Prefers `cmux browser open`; falls back to the system default.
REST API 设计模式 — 端点命名、分页、错误处理、版本管理、OpenAPI 规范。
Visually verify web UI changes using playwright-cli with Chromium. Start a dev server on a unique port per worktree, navigate to affected pages, take screenshots, and check for console errors. Use after completing any web dashboard feature, bug fix, or UI change.
Use when changing shared API contracts, Pydantic DTO schemas, OpenAPI surfaces, serialization rules, or integration boundaries between backend services or external consumers.
Authenticate AI agents with auth servers using the Agent Identity (AID) protocol. Supports Ed25519 identity documents, proof of possession, OAuth 2.0 token exchange, and scoped JWT tokens. Self-contained — works independently without other protocols.
Excel MCP Server迭代。持续改进Excel MCP工具功能、性能和文档。触发词:Excel迭代、excel-mcp、Excel工具改进。
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: