Daily Featured Skills Count
3,920 3,927 3,966 4,007 4,057 4,100 4,115
04/08 04/09 04/10 04/11 04/12 04/13 04/14
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
egerev egerev
from GitHub Data & AI
  • 📁 agents/
  • 📁 docs/
  • 📁 prompts/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 CLAUDE.md
automation docs ai

superflow

Use when user says 'superflow', 'суперфлоу', or asks for full dev workflow. Four phases: (0) project onboarding & CLAUDE.md bootstrap, (1) collaborative Product Discovery with multi-expert brainstorming, (2) fully autonomous execution with PR-per-sprint, git worktrees, dual-model reviews, max parallelism, and verification discipline, (3) merge with documentation update.

⬇0 ❤8 14 days ago · Uploaded Detail →
younes-io younes-io
from GitHub Data & AI
  • 📁 agents/
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
tlc model cfg

tla-check

Write and iteratively refine executable TLA+ specs (.tla) and TLC model configs (.cfg) from natural-language system designs; run TLC model checking; summarize pass/fail and counterexamples with explicit assumptions and bounds. Use when asked to design or validate a protocol/state machine, create or edit .tla/.cfg files, run TLC, or interpret TLC failures.

⬇0 ❤8 14 days ago · Uploaded Detail →
paivot-ai paivot-ai
from GitHub Data & AI
  • 📄 SKILL.md
architecture structurizr automation

c4

Architecture-as-code using C4 model and Structurizr DSL. Use when the project has `architecture.c4` enabled in settings, or when the user asks about C4 diagrams, Structurizr, architecture boundaries, or dependency rules. Teaches agents how to maintain a canonical architecture model alongside ARCHITECTURE.md, declare machine-checkable boundaries, and export diagrams.

⬇0 ❤8 14 days ago · Uploaded Detail →
Alph-ai-agent Alph-ai-agent
from GitHub Data & AI
  • 📄 apis.json
  • 📄 SKILL.md
seo 当用户询问代币是 alph.ai

alphai-common

Alph.ai 公共功能 API - 代币黑名单查询、发币平台信息、盈亏分享卡片、SEO 数据等通用功能。当用户询问代币是否在黑名单、查询发币平台、生成分享卡片、PnL 分享、SSR/SEO 数据时使用。

⬇0 ❤7 10 days ago · Uploaded Detail →
redhat-et redhat-et
from GitHub Data & AI
  • 📁 schemas/
  • 📁 scripts/
  • 📄 README.md
  • 📄 SKILL.md
analysis configuration splunk

root-cause-analysis

Perform root cause analysis and log analysis for failed jobs.Investigate AAP job failures using Splunk correlation and AgnosticD/AgnosticV configuration analysis. Correlates local Ansible/AAP job logs with Splunk OCP pod logs and retrieves relevant configuration from GitHub repositories.

⬇0 ❤7 10 days ago · Uploaded Detail →
zhanghaichao520 zhanghaichao520
from GitHub Data & AI
  • 📁 docs/
  • 📁 prompts/
  • 📁 tools/
  • 📄 .gitignore
  • 📄 INSTALL.md
  • 📄 README.md
persona memory group

create-senpai

Distill a graduated lab senior into an AI Skill. Import chats, meeting notes, photos, and screenshots to build Group Memory + Persona with continuous evolution. | 把毕业大师兄蒸馏成 AI Skill，导入聊天记录、组会纪要、照片和截图，生成 Group Memory + Persona，支持持续进化。

⬇0 ❤7 10 days ago · Uploaded Detail →
YuxuanSha YuxuanSha
from GitHub Data & AI
  • 📁 docs/
  • 📁 prompt/
  • 📁 src/
  • 📄 README.md
  • 📄 SKILL.md
data general-purpose notification

hn-radar

General-purpose Hacker News monitoring tentacle. Supports 6 data sources, LLM-powered smart filtering, and batch reporting. Fetches latest posts by default, runs each through LLM screening, and reports worthy items to Brain for user notification.

⬇0 ❤7 10 days ago · Uploaded Detail →
FrancyJGLisboa FrancyJGLisboa
from GitHub Data & AI
  • 📄 SKILL.md
domain map extract

bdistill-discover

Map any professional domain into extractable topics with seed terms and a recommended extraction plan. Triggers on "I work in", "what can you extract about", "help me get started", "map my domain", "I don't know what to extract". Outputs structured domain map with seed terms for bdistill-extract.

⬇0 ❤7 11 days ago · Uploaded Detail →
marlandoj marlandoj
from GitHub Data & AI
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 AGENTS.md
  • 📄 BENCHMARK_REPORT.md
memory search data

zo-memory-system

Hybrid SQLite + Vector persona memory system for Zo Computer. Episodic memory with temporal queries, graph-boosted search, BFS path finding, knowledge gap analysis, auto-capture pipeline. Gives personas persistent memory with semantic search (nomic-embed-text), HyDE query expansion (qwen2.5:1.5b), Ollama-powered memory gate, 5-tier decay, and swarm integration. Requires Ollama for embeddings.

⬇0 ❤7 11 days 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