Implement new MCP prompts in the deno-mcp-template project. Provides the exact file structure, type signatures, registration steps, and patterns for prompts with static arguments or dynamic completions. Use when adding a new prompt, creating MCP prompts, or asking how prompts work in this project.
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Discover connections for a single note. Saves a connection report to the active workshop and does not mutate KB files. Use with a note path or note name.
Cross-engine dispatch layer for AI coding agents. Use when you need to: launch a worker on Codex/Claude/Gemini, recover a timed-out dispatch, steer a running worker mid-flight, or coordinate multi-model work. Trigger on: agent-mux, dispatch, spawn worker, codex worker, profile dispatch, async dispatch, steer agent, recover timeout, multi-engine. --- # agent-mux One CLI, three engines (Codex, Claude, Gemini), one JSON contract. Worker identity lives in prompt files at `~/.agent-mux/prompts/` -- markdown with YAML frontmatter that sets engine, model, effort, timeout, and system prompt. No config files, no role tables. The prompt IS the worker. ## Quick Dispatch Three patterns cover 95% of dispatches. **Profile dispatch** (the standard path -- one flag resolves everything): ```bash agent-mux -P=lifter -C=/repo "Fix the retry logic in src/client/retry.go" 2>/dev/null ``` **Async dispatch** (fire, collect later): ```bash ID=$(agent-mux -P=scout --async -C=/repo "Find deprecated API usages" 2>/dev/null | jq -r .dispatch_id) agent-mux wait --poll 30s "$ID" 2>/dev/null agent-mux result --json "$ID" 2>/dev/null ``` **Structured dispatch via stdin** (canonical machine invocation): ```bash printf '%s' '{"profile":"lifter","prompt":"Implement the fix","cwd":"/repo"}' \ | agent-mux --stdin --async 2>/dev/null ``` Parse stdout JSON. Every result has `status`, `response`, `activity.files_changed`, and `metadata.engine`. Always check `status` first. ## Profile Roster
Query Weibo users, posts, and comments through the local crawl4weibo CLI. Use when the workspace contains this repository and the user wants deterministic shell access to the project's Weibo crawling capabilities from OpenClaw.
Text network analysis, knowledge graphs, content gap detection, SEO/GEO optimization, structured memory, and text comparison via the InfraNodus MCP server (mcporter).
What this tool does',
Building LLM agents with mlld — tool agents (MCP tools), event-driven agents (routers and dispatchers), and workflow agents (stateless jobs). Use when creating agents, exposing tools, or building event-driven systems.
Analyze pull requests and diffs for bugs, security vulnerabilities, performance issues, style violations, and test coverage gaps — producing structured, actionable feedback
Audit all table and figure captions for language, notation, and formatting consistency
Creates pages/layouts, defines content collections, configures hydration directives, and wires integrations. Use when adding or modifying Astro pages, layouts, components, or content collections. Trigger terms: Astro, content collection, client:load, client:visible, astro:content
Manage ad campaigns across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. Use when the user wants to analyze campaign performance, research keywords, create campaigns, optimize budgets, or manage ad accounts via the Adspirer MCP server.
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:
