- 📄 create_preview.py
- 📄 create_template.py
- 📄 markdown_normalizer.py
md-to-docx
将 Markdown 文件转换为格式化的 Word 文档。当用户想要将 .md 转换为 .docx、从 Markdown 创建 Word 文档或提及文档转换时调用此技能。
将 Markdown 文件转换为格式化的 Word 文档。当用户想要将 .md 转换为 .docx、从 Markdown 创建 Word 文档或提及文档转换时调用此技能。
Search the Claude knowledge graph vault for past Q&A sessions, concepts, and developer knowledge. Use when you need to find information from previous conversations, recall how something was done before, or look up stored technical knowledge. Supports Korean and English queries.
Search Confluence pages and fetch page content. Use when a user wants to find or read Confluence wiki pages, or when context from Confluence is needed.
Run one or more codebase audits (evaluation, health, documentation) with parallel agent execution, producing intake docs for a single /pipeline run.
Generate change-local blackbox and API docs, or sync stable API reference docs, using task-driven inputs and a structured result with closed writeback boundaries.
创建或更新 Material 实体——标准化的材料录入流程,确保信息补全、边关系正确、可视化同步。由 knowledge-process、bootstrap、ito 待命模式等场景调用。
Use when completing retro feature work, after implementation and tests pass, before creating PRs. Keywords: scenario tests, clean install, retro documentation updates.
Use when 需要分析小说站点并生成 Legado 书源,且要先判断登录、评估可生成性、对照官方规则与辅助文档,再输出可验证的书源结果
Review Markdown documents using the MRSF (Sidemark) sidecar format. Use when asked to review, comment on, or provide feedback on Markdown files. Adds structured, anchored review comments via the MRSF MCP server.
Search team knowledge before starting work. Use when starting experiments, debugging unfamiliar errors, or before implementing features with unknowns.
Build production-ready REST APIs with versioning, documentation, and rate limiting. Use when the user wants to create API endpoints, build a REST API, add API resources, or generate OpenAPI documentation. Triggers: "build api", "create endpoint", "api resource", "rest api", "api documentation", "swagger", "json api", "graphql".
Guide for MEV concepts, common attacks, mitigations, and how to organize MEV-related resources in README.md.
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: