- 📁 references/
- 📄 SKILL.md
company
秘書から始める仮想組織スキル。 3ステップで即運用開始。部署は必要に応じて自然に増える。
秘書から始める仮想組織スキル。 3ステップで即運用開始。部署は必要に応じて自然に増える。
Read this skill when you want to understand your affect reading, interpret what it means for your current work, or decide how to respond to elevated pressure. Covers the traditions that ground the instrument, what each dimension measures, the choices available to you, and what the instrument cannot see. --- # Affect Monitoring ## The tradition Marcus Aurelius wrote the Meditations under pressure — governing, deciding, facing resistance — and the recurring theme is a line between what is within your power and what is not. Your judgments are within your power. Your choices are within your power. The quality of your engagement is within your power. Tool outcomes, delegation results, budget remaining — these are not. Pressure rises when you forget which side of the line you are on.
Run ComfyUI workflows from any AI agent (Claude Code, OpenClaw, Codex) via a single CLI. Import workflows, manage dependencies, execute across multiple servers, and track history — all through shell commands. **Use this Skill when:** (1) The user requests to "generate an image", "draw a picture", or "execute a ComfyUI workflow". (2) The user has specific stylistic, character, or scene requirements for image generation. (3) The user asks you to import, register, sync, or configure saved ComfyUI workflows for later reuse.
Claude Code Source - Buildable Research Fork. Reverse-engineered build system, runnable with Bun.
生成专业播客脚本,包含开场白、话题展开、问答环节和结尾。适用于创建音频内容、播客脚本、对话式内容。
Use when editing .lean files, debugging Lean 4 builds (type mismatch, sorry, failed to synthesize instance, axiom warnings, lake build errors), searching mathlib for lemmas, formalizing mathematics in Lean, or learning Lean 4 concepts. Also trigger when the user asks for help with Lean 4, mathlib, or lakefile. Do NOT trigger for Coq/Rocq, Agda, Isabelle, HOL4, Mizar, Idris, Megalodon, or other non-Lean theorem provers.
Design the architecture to solve a given task. Propose the solutions to be used to deliver the task following the best practices and standards.
Collect social media content (X/Twitter, WeChat, Jike, Reddit, etc.) into Feishu bitable. **Use this skill whenever the user shares a link from any social platform, sends a screenshot, or mentions "收藏", "保存", "collect", "save this article".** Even if they don't explicitly ask to collect, trigger this skill proactively. --- # Content Collector Auto-collect social media content → AI summarize → Save to Feishu bitable. ## Quick Reference | Trigger | Action | |---------|--------| | X/Twitter link | `x-tweet-fetcher` skill | | WeChat article | `web-content-fetcher` (Scrapling) | | Other platforms | `defuddle` → fallback to `baoyu-url-to-markdown` | | Screenshot | OCR → extract URL → collect | ## Workflow ``` Link/Screenshot → Platform Detect → Dedupe → Extract → Summarize → Save to Bitable ``` ### Step 1: Platform Detection ```bash python3 scripts/extract_content.py "<url>" ```
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Tag, publish to PyPI, and create GitHub release for Kon with validation and rollback-safe steps
Rust/Cargoプロジェクトのバージョン更新、GitHubリリース、crates.io publishを実行する。
Podcast knowledge workflows powered by Podwise CLI: search podcasts and episodes by keyword, monitor followed shows for new releases, find popular episodes, ask questions and extract insights from transcript content, process Podwise episode URLs, YouTube videos, Xiaoyuzhou links, and local audio or video files to retrieve transcripts, summaries, chapters, Q&A, mind maps, highlights, and keywords — plus catch up on your backlog, refine your listening taste, generate weekly recaps, export episode notes to PKM tools, research topics across podcasts, debate episode ideas, and generate language learning cards. Use when the user wants to find, summarize, transcribe, or extract insights from any podcast or audio content, or manage their listening library.
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: