Ingest, search, list, update, or delete content in a local mcp-local-rag index when the user is working with local documents or pasted/fetched HTML, Markdown, or text. Use this skill to choose the right MCP tool or `npx mcp-local-rag` CLI command, formulate effective queries, interpret search scores, and manage source metadata.
Use Cerul's video search API from Codex or Claude-style agents. Trigger when a user wants to search videos with Cerul, inspect Cerul usage, or integrate Cerul search into scripts or agent workflows. Requires CERUL_API_KEY and optionally CERUL_BASE_URL.
Search your entire company's institutional knowledge in one query — Slack, Confluence, Jira, Linear, Notion, GitHub, plus any AI or multi-source search tool listed in verified_connections.md. Follow workflows/enterprise-search. One question, every connected tool, synthesized answer in seconds. No tab switching. No copy-paste. Use when the user asks about a decision, an incident, a topic, a person, a past discussion, or anything that might be documented across work tools. Also triggers on: "find", "search for", "who worked on", "what was the decision about", "is there a doc on", "any Slack about".
Web search using the Brave Search CLI (`bx`). Use for ALL web search requests — including "search for", "look up", "find", "what is", "how do I", "google this", and any request needing current or external information. Prefer this over the built-in web_search tool whenever bx is available. Also use for: documentation lookup, troubleshooting research, RAG grounding, news, images, videos, local places, and AI-synthesized answers.
Search and recall memories from ourmem. Use when user asks to find, recall, search, or remember something.
Search the web. Returns a list of search results to then be explored. Use when you need current information or to verify facts.
Semantic code search, regex pattern search, and symbol lookup across a local repository. Returns ranked markdown codeblocks with file path, line range, content, and optional symbol info. Use `vera search` for conceptual/behavioral queries (how a feature works, where logic lives, exploring unfamiliar code). Use `vera grep` for exact strings, regex patterns, imports, and TODOs. Use `vera references` to trace callers/callees. Use rg only for bulk find-and-replace or files outside the index.
Search and explore arXiv papers via ChatTool CLI. Use when user asks to search papers, get daily submissions, fetch specific arXiv papers by ID, or use domain presets like ai4math and math-formalization-weekly.
Give your AI agent eyes to see the entire internet. Search and read 15+ platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, Weibo, WeChat Articles, Xiaoyuzhou Podcast, LinkedIn, V2EX, RSS, Exa web search, and any web page. Use when user asks to search, read, or interact on any supported platform, shares a URL from a supported site, or asks to search the web.
Audits and optimizes websites for search engine visibility (SEO) and AI search citation (GEO), covering technical health, E-E-A-T content scoring, domain authority, structured data, rich results, and entity signals. Use when running SEO audits, diagnosing traffic drops or ranking losses, generating Schema.org JSON-LD, checking Core Web Vitals, crawlability, robots.txt, sitemaps, hreflang, backlinks, planning content strategy or site migrations, fixing indexing issues, or optimizing for AI Overviews, ChatGPT, and Perplexity. NOT for paid ads (PPC/SEM), social media strategy, email marketing, or general web development unrelated to search.
Interact with GitHub using the `gh` CLI. Use `gh pr`, `gh run`, `gh workflow`, `gh search`, and `gh api` for PRs, CI, search, and advanced queries.
Search and retrieve knowledge from agentic_kb knowledge base. Use when the user requests to search the KB, asks "How do I..." questions that should consult the KB, wants to document new knowledge, or at session start to update the KB submodule. Also use when User wants to udpate the knowledge base with new knowledge. Knowledge Capture when you learn new, reusable knowledge during tasks. Supports Typesense (fast full-text search), FAISS (semantic vector search), and ripgrep (exact pattern matching). All KB is Obsidian formatted and can be browsed easily and visually with network maps in Obsidian.
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:
