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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
codependentai codependentai
from GitHub Research & Analysis
  • 📄 SKILL.md
academic papers arxiv

arxiv-research

Search and read academic papers from arxiv via Semantic Scholar API + ar5iv HTML. No OAuth, no PDF parsing. Use when the user wants to find research papers, read a specific paper, look up citations, or explore academic literature. Trigger on "find papers on", "arxiv", "research on", "look up the paper", "academic search", "semantic scholar", "what does the literature say", "read this paper", or any arxiv/ar5iv URL.

⬇0 ❤29 1 month ago · Uploaded Detail →
phughesmcr phughesmcr
from GitHub Tools & Productivity
  • 📄 examples.md
  • 📄 SKILL.md
prompts mcp new

implementing-mcp-prompts

Implement new MCP prompts in the deno-mcp-template project. Provides the exact file structure, type signatures, registration steps, and patterns for prompts with static arguments or dynamic completions. Use when adding a new prompt, creating MCP prompts, or asking how prompts work in this project.

⬇0 ❤29 1 month ago · Uploaded Detail →
buildoak buildoak
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
dispatch agent-mux ai

agent-mux

Cross-engine dispatch layer for AI coding agents. Use when you need to: launch a worker on Codex/Claude/Gemini, recover a timed-out dispatch, steer a running worker mid-flight, or coordinate multi-model work. Trigger on: agent-mux, dispatch, spawn worker, codex worker, profile dispatch, async dispatch, steer agent, recover timeout, multi-engine. --- # agent-mux One CLI, three engines (Codex, Claude, Gemini), one JSON contract. Worker identity lives in prompt files at `~/.agent-mux/prompts/` -- markdown with YAML frontmatter that sets engine, model, effort, timeout, and system prompt. No config files, no role tables. The prompt IS the worker. ## Quick Dispatch Three patterns cover 95% of dispatches. **Profile dispatch** (the standard path -- one flag resolves everything): ```bash agent-mux -P=lifter -C=/repo "Fix the retry logic in src/client/retry.go" 2>/dev/null ``` **Async dispatch** (fire, collect later): ```bash ID=$(agent-mux -P=scout --async -C=/repo "Find deprecated API usages" 2>/dev/null | jq -r .dispatch_id) agent-mux wait --poll 30s "$ID" 2>/dev/null agent-mux result --json "$ID" 2>/dev/null ``` **Structured dispatch via stdin** (canonical machine invocation): ```bash printf '%s' '{"profile":"lifter","prompt":"Implement the fix","cwd":"/repo"}' \ | agent-mux --stdin --async 2>/dev/null ``` Parse stdout JSON. Every result has `status`, `response`, `activity.files_changed`, and `metadata.engine`. Always check `status` first. ## Profile Roster

⬇0 ❤29 1 month ago · Uploaded Detail →
Praeviso Praeviso
from GitHub Data & AI
  • 📄 SKILL.md
weibo deterministic capabilities

crawl4weibo

Query Weibo users, posts, and comments through the local crawl4weibo CLI. Use when the workspace contains this repository and the user wants deterministic shell access to the project's Weibo crawling capabilities from OpenClaw.

⬇0 ❤29 1 month ago · Uploaded Detail →
infranodus infranodus
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
backend data docs

infranodus

Text network analysis, knowledge graphs, content gap detection, SEO/GEO optimization, structured memory, and text comparison via the InfraNodus MCP server (mcporter).

⬇0 ❤29 1 month ago · Uploaded Detail →
notforyou23 notforyou23
from GitHub Blockchain & Web3
  • 📁 reports/
  • 📁 scripts/
  • 📄 index.js
  • 📄 manifest.json
  • 📄 SKILL.md
recommendations iteratively against

Autoresearch

Iteratively improve a weak skill through score, tweak, and retest loops. Run against a target skill, define failure mode and rubric, execute the loop, and get a scored report with recommendations.

⬇0 ❤11 3 days ago · Uploaded Detail →
AkbarDevop AkbarDevop
from GitHub Databases & Storage
  • 📄 SKILL.md
apply job greenhouse

job-apply

Apply to a job by URL — auto-routes to the right ATS filler (LinkedIn Easy Apply / Greenhouse / Lever / Jobvite / Ashby), dry-run by default, renders an emoji-tagged result table. Proactively invoke this skill (do NOT answer conversationally) when the user pastes a LinkedIn/Greenhouse/Lever/Jobvite/Ashby job URL (with or without the word "apply"), says "apply to this", "try this one", "fill the form", "run the filler", "can you apply for me", "submit this application", drops a job posting into chat, or invokes /job-apply.

⬇0 ❤25 16 days ago · Uploaded Detail →
Mdx2025 Mdx2025
from GitHub Data & AI
  • 📁 assets/
  • 📁 cron/
  • 📁 docs/
  • 📄 .clawhubignore
  • 📄 .env.example
  • 📄 .gitignore
database ai auto-injection

BrainX V5 — The First Brain for OpenClaw

Vector memory engine with PostgreSQL + pgvector + OpenAI embeddings. Stores, searches, and injects contextual memories into LLM prompts. Includes auto-injection hook for OpenClaw and full backup/recovery system.

⬇0 ❤28 1 month ago · Uploaded Detail →

Skill File Structure Sample (Reference)

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

SKILL.md Requirements

├─ ⭐ 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

Why SkillWink?

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.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

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.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

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.

2. How do Skills work?

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.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared 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.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up