- 📁 docs/
- 📁 scripts/
- 📄 SKILL.md
claude-code-skills
Provides local documentation for the Claude Agent SDK (formerly Claude Code SDK).
Provides local documentation for the Claude Agent SDK (formerly Claude Code SDK).
Canonical reference for Claude Code plugin artifact schemas, hook events, frontmatter fields, and naming conventions. Used to inject domain knowledge into Codex audit prompts. Run /codex-toolkit:refresh-knowledge to update from latest docs.
Design architecture docs for new features, refactors, or redesigns. Produces implementation-ready docs with complete file impact analysis.
Analyzes the codebase, creates project documentation, generates a rebuildable codebase index, and updates AGENTS.md. Used during /5:implement-feature CONFIGURE.
Use when initializing a new project, making a repo agent-ready, or adding architectural layer boundaries — produces AGENTS.md, docs/ system of record, boundary tests, linter rules, CI pipeline, and GC scripts
Maintain Picea repository AI navigation and routing documents. Use when Codex needs to create or update AGENTS.md, docs/ai/index.md, docs/ai/repo-map.md, docs/ai/doc-catalog.yaml, docs/ai/skill-candidates.md, or repository-local skills after module layout, milestone scope, validation commands, or documentation authority changes.
This skill should be used when the user asks to "audit a wiki vault", "check dead links or orphan pages", "inspect knowledge base structure", "审计 wiki", "检查知识库结构", "看看有没有死链或孤立页", or "检查导航、frontmatter 和噪音回流". It audits a markdown/wiki knowledge base by reading a vault profile first and then checking structure, navigation, metadata, boundary drift, noise regression, and stray markdown files at the vault root.
MANDATORY - INVOKE IMMEDIATELY after completing ANY development task (feature, bug fix, refactor, maintenance). Creates SR-PTD documentation for future skill extraction. This is NOT optional - every task MUST have documentation.
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".
飞书全能 MCP - 创建/编辑文档、插入图表、管理表格、搜索知识库。整合社区版+官方 MCP,适配 Moltbot/Clawdbot。
Audit documentation coverage across CLI commands, web features, and configuration. Builds the CLI, discovers all commands/flags, checks web pages, and cross-references against docs/ and apps/docs/.
Discovers architecture from codebases and authors Sruja DSL (repo.sruja). Use when discovering architecture, generating or refactoring repo.sruja, validating architecture against code, maintaining architecture docs, or when the user mentions architecture-as-code, C4, or .sruja files.
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: