- 📁 assets/
- 📁 references/
- 📁 scripts/
- 📄 SKILL.md
memories-off
管理基于 Markdown 实体的本地知识库。提供库观察、实体检索、按需加载章节、精确编辑及显式关系管理能力。支持长期记忆与持续学习。
管理基于 Markdown 实体的本地知识库。提供库观察、实体检索、按需加载章节、精确编辑及显式关系管理能力。支持长期记忆与持续学习。
Kuaifa (快发) — publish Markdown articles to WeChat Official Accounts via the kuaifa CLI. Use this skill whenever the user wants to publish an article to WeChat, publish image messages, manage kuaifa configuration or templates, or mentions '快发', 'kuaifa', 'publish to WeChat', '发布公众号', '微信发布', '发文章'. Also trigger when the user has a Markdown file and wants to distribute it to WeChat, or asks about WeChat article formatting and themes.
从任意 URL 提取干净正文(Markdown 格式)。三层降级策略:Jina Reader → Scrapling + html2text → web_fetch。触发关键词:「抓取网页」「提取正文」「读取文章」「网页内容」「fetch article」「extract web」「读取 URL」「抓文章」「web extract」「网页提取」。当用户给出一个 URL 并要求获取/阅读/提取其内容时自动触发。
Search, browse, and read the user's local documents indexed by Linkly AI. This skill should be used when the user asks to 'search my documents', 'find files about a topic', 'read a local document', 'search my knowledge base', 'browse document outlines', 'list knowledge libraries', 'explore my documents', or any task involving searching, browsing, or reading locally stored documents (PDF, Markdown, DOCX, TXT, HTML). Also triggered by: 'linkly not working', 'can not connect to linkly', '搜索我的文档', '查找文件', '知识库搜索', '浏览文档大纲', '列出知识库', '连接不上', '故障排查'. Provides full-text search, structural outlines, and paginated reading via CLI or MCP tools.
Personal network intelligence — remember people, find connections, and draft intros. Contacts stored locally as plain markdown files.
电影级全流程提示词生成。用户给出故事主题,一键生成完整 markdown 文件,包含:角色设定提示词、场景提示词、完整剧本、分镜表、每个分镜的视频生成提示词。支持 Seedance 2.0 / 即梦 / Midjourney / SD。触发词:分镜、提示词、prompt、镜头、脚本、剧本、视频生成、电影风格、Seedance、生成剧本。
Scrape any website into clean markdown or structured JSON. Anti-detect browser, smart proxy rotation, AI-powered data extraction.
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.
AI驱动的边缘知识挖掘系统。针对用户需求,从高价值论坛(Reddit、BlackHatWorld、GreyHatMafia 等)智能推荐 + browser-use 深度爬取 + 视觉识别 + 分析边缘技巧、骚人、资源,并输出单一结构化 Markdown 报告。
Generate end-user documentation site using Docusaurus 3.x from the current project. Use this skill when the user asks to create documentation, generate docs, build a docs site, or set up Docusaurus for their project. Supports analyzing project structure, generating markdown docs, configuring Docusaurus, and creating user guides.
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.
Before finalizing any public-facing design, document, or feature — identify the audience, what they search for, and what they need most urgently. Use when creating README sections, naming repos, writing descriptions, or designing user-facing interfaces.
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: