- 📄 SKILL.md
ontomcp-driver
Protocol for interacting with the OntoSkills MCP server to discover, evaluate, and compose skills from the compiled knowledge graph.
Protocol for interacting with the OntoSkills MCP server to discover, evaluate, and compose skills from the compiled knowledge graph.
General-purpose ClawProbe spend digest skill for OpenClaw. Use when the user needs a daily, weekly, or monthly cost digest, top spenders, token totals, daily breakdowns, or previous-period comparisons based on local OpenClaw and clawprobe data. This skill is guidance plus a runnable Node script: read this file, then use exec with node to generate the digest.
Drive the skvm CLI on behalf of a user to profile models, AOT-compile skills, run skill-assisted tasks, run benchmarks, and manage compiled proposals. Trigger when the user asks to "profile", "aot-compile", "bench", "run a skill", or asks about skvm proposals.
Codebase health scanner and technical debt tracker. Use when the user asks about code quality, technical debt, dead code, large files, god classes, duplicate functions, code smells, naming issues, import cycles, or coupling problems. Also use when asked for a health score, what to fix next, or to create a cleanup plan. Supports 28 languages.
Manage Architecture Decision Records using the project's ADR CLI tool. Use when the user wants to create, list, view, lint, or index ADRs, or when working with docs/architecture/ files. Triggers on "create an ADR", "new ADR", "list ADRs", "lint ADRs", "what ADRs exist", "ADR domains".
用来创建、修改、重构、评估、打包和优化其他 skill。用户提到从零做 skill、把一段工作流程沉淀成 skill、改现有 skill、把别人的 skill 按当前这套架构重写、做轻优化或完整改造、设计评测、验证 skill 是否真的更好、优化触发描述,或打包交付 skill 时,都应使用这个 skill。
Use cpipe to discover, inspect, and send commands to named-pipe tool servers.
支持用户按一个或多个研究领域订阅 arXiv 最新论文,按重要性排序并以中英双语卡片形式推送(英文标题/中文标题/英文摘要/中文摘要/arXiv 链接)。支持每领域独立数量上限(5-20)、关键词高亮、NEW/UPDATED 版本标识、Markdown 存档,以及定时推送与即时推送双路径。首次使用时先完成订阅配置;领域可由 Agent 画像 JSON 自动补全英文名、关键词与会议列表。
Step-based workflow for implementing an issue in a multi-repo workspace. Handles research, planning, shallow cloning, agent teams, implementation, QA, and pull requests.
情圣 — 中文男性社交与恋爱私教。帮兄弟读懂女生发的消息、看懂聊天/朋友圈截图、判断对方是不是对自己有意思、想清楚下一步该回什么 / 该不该回 / 该怎么约。覆盖微信、探探、Soul、Bumble、青藤之恋、Tinder 等平台,从加上好友到确立关系的完整流程,包括开场、暧昧期、约见面、升温、表白、修复冷场、被已读不回怎么办、朋友圈怎么评论。当用户问「她这话什么意思」「我该怎么回」「帮我看看这段聊天」「这截图你给我分析一下」「她对我有意思吗」「该约她了吗」「冷场了怎么破」「这条要不要回」之类的问题时,务必使用本 skill。即使用户没明说「教练」「分析」也应触发——只要话题是和某个具体女生的互动就用。
Use when deciding whether a completed AnthroClaw run should become durable memory or a reusable native skill update. Helps convert user corrections, repeated workflows, and recovered mistakes into safe learning proposals.
Per-subcommand reference for pdb2reaction's 17 CLI subcommands (extract / path-search / tsopt / freq / irc / dft / scan / opt / all / …). SKILL.md is a 1-line input→output cheatsheet; each subcommand also has its own md (`extract.md` / `tsopt.md` / …) for flags, validation, caveats. See `freeze-atoms.md` for cluster-boundary frozen-atom mechanics. TRIGGER on questions about a specific subcommand, flag, or shell invocation. SKIP for install / HPC / output-parsing / structure-format-editing questions.
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: