Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
Add an MCP server to pi. Use when asked to "add mcp server", "configure mcp", "add mcp", "new mcp server", "setup mcp", "connect mcp server", or "register mcp server". Handles both global and project-local configurations.
opskat CLI for asset management and remote operations (SSH, SQL, Redis, file transfer). Use when: managing server assets, executing remote commands, writing opsctl scripts/automation, or working with approval/grant/session workflows. Also triggers for: deploying to servers, server diagnostics/troubleshooting, batch operations across fleet, database queries, file transfers between servers, server inventory/discovery.
Add an MCP server to pi. Use when asked to "add mcp server", "configure mcp", "add mcp", "new mcp server", "setup mcp", "connect mcp server", or "register mcp server". Handles both global and project-local configurations.
Stop mo markdown viewer server for current project. Use when user says claw-mo-down, wants to stop mo, shut down doc viewer, or kill mo server.
Guide users through the MUXI platform -- infrastructure for AI agents. Covers installation (CLI and server), server setup and configuration, CLI commands and workflows, secrets management, writing formations (Agent Formation Schema), deploying formations, registry operations, and using both the Server API and Formation API. Use when the user asks about MUXI setup, CLI commands, formation authoring, secrets, deployment, the registry, server configuration, agents, MCP tools, overlord, memory, or any "how do I..." question about MUXI.
**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features. --- # IMPORTANT: How to Use This Skill This file provides a NAVIGATION GUIDE ONLY. Before implementing any MCP server features, you MUST: 1. Read this overview to understand which reference files are relevant 2. **ALWAYS read the specific reference file(s)** for the features you're implementing 3. Apply the detailed patterns from those files to your implementation **Do NOT rely solely on the quick reference examples in this file** - they are minimal examples only. The reference files contain critical best practices, security considerations, and advanced patterns. --- # MCP Server Best Practices Comprehensive guide for building production-ready MCP servers with tools, resources, prompts, and widgets using mcp-use. ## ⚠️ FIRST: New Project or Existing Project? **Before doing anything else, determine whether you are inside an existing mcp-use project.** **Detection:** Check the workspace for a `package.json` that lists `"mcp-use"` as a dependency, OR any `.ts` file that imports from `"mcp-use/server"`. ``` ├─ mcp-use project FOUND → Do NOT scaffold. You are already in a project. │ └─ Skip to "Quick Navigation" below to add features. │ ├─ NO mcp-use project (empty dir, unrelated project, or greenfield) │ └─ Scaffold first with npx create-mcp-use-app, then add features. │ See "Scaffolding a N
Turn any CLI or MCP server into an Agent Skill. Use when you want to replace an MCP server with a zero-overhead CLI skill, or generate a skill from any command-line tool's --help output.
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:
