Collaborative ideation for projects and writing. Ask clarifying questions, suggest angles, challenge assumptions, and help refine vague ideas into concrete requirements or topics. Use when exploring ideas before planning or drafting.
Answer research questions using a local vector DB and online literature search, with auto-ingest for new papers. Use when you need to find relevant academic work or verify if an idea is novel.
Use when delegating coding tasks to external executors (Antigravity, Codex, Gemini) — multi-file changes, mechanically clear work, or parallel worktree execution.
Use when an AI agent needs to manage Traefik Route Manager routes through its HTTP API, including authenticating, listing routes, and creating, updating, or deleting managed route entries that map domains to backend services.
高德地图 JSAPI v2.0 (WebGL) 开发技能。涵盖地图生命周期管理、强制安全配置、3D 视图控制、覆盖物绘制及 LBS 服务集成。
Search and read academic papers from arxiv via Semantic Scholar API + ar5iv HTML. No OAuth, no PDF parsing. Use when the user wants to find research papers, read a specific paper, look up citations, or explore academic literature. Trigger on "find papers on", "arxiv", "research on", "look up the paper", "academic search", "semantic scholar", "what does the literature say", "read this paper", or any arxiv/ar5iv URL.
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.
>-
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
Run a structured scan/plan/implement/verify/review workflow inside the current parent Codex session without launching external workers or helper scripts. Use when the user wants a single-session workflow, wants to avoid subagents, or wants lower token overhead with disk-backed checkpoints and compact handoff files.
Analyze project dependencies for security, updates, and optimization. Keywords: dependency, npm, pip, maven, gradle, 依赖分析, 包管理
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:
