1,227 Open Skills

Free to get · One-click to use

✅ AI semantic search & keyword search
✅ Discussions & community interaction
✅ Version updates & multi-metric ranking
✅ Open SKILL.md standard

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
marlandoj marlandoj
from GitHub 数据与AI
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 README.md
  • 📄 SKILL.md
memory search data

zo-memory-system

Hybrid SQLite + Vector persona memory system for Zo Computer. 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 ❤3 23小时前·上传 Detail →
NeuroSkill-com NeuroSkill-com
from GitHub 数据与AI
  • 📁 .github/
  • 📁 .vscode/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 cli.ts
backend data neuroskill

skill

NeuroSkill™ exposes a real-time EEG analysis API through a local WebSocket server and an HTTP tunnel.

⬇0 ❤5 1天前·上传 Detail →
xiaods xiaods
from GitHub 数据与AI
  • 📁 .claude/
  • 📁 references/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 LICENSE
  • 📄 package-skill.ps1
data kingscript cosmic

kingscript-plugin-dev

金蝶苍穹 Kingscript 插件开发专家。当用户需要为金蝶苍穹/cosmic 平台编写 Kingscript/KS 脚本插件时使用此技能，包括但不限于：操作插件、表单插件、列表插件、转换插件、报表插件、工作流插件、调度任务等。涵盖插件生命周期、ORM 数据访问、BigDecimal 财务计算、界面交互控制、F7过滤、页面弹窗传参、消息通知、DataSet统计报表。即使用户只提到"苍穹插件"、"kingscript"、"KS脚本"、"cosmic插件"、"单据插件"、"保存校验"、"字段联动"、"下推转换"、"单据下推"、"ORM查询"、"F7过滤"、"审批流"、"定时任务"、"入库出库"、"金蝶二开"、"苍穹二开"、"苍穹脚本"、"单据联动"、"列表过滤"、"报表取数"、"金蝶低代码"、"自定义操作"、"单据校验"等关键词，也应触发此技能。

⬇0 ❤5 1天前·上传 Detail →
ObolNetwork ObolNetwork
from GitHub 数据与AI
  • 📁 references/
  • 📄 SKILL.md
litellm testing through

obol-stack-dev

Obol Stack development, testing, and LLM routing validation through LiteLLM. Use when developing, testing, or validating inference paths (Ollama, Anthropic, OpenAI) through the LiteLLM gateway, writing integration tests, or working with obol CLI wrappers.

⬇0 ❤4 1天前·上传 Detail →
mayflower mayflower
from GitHub 数据与AI
  • 📄 SKILL.md
recon reproducible pentesting

external-pentesting

Use when performing external pentesting (recon, scanning, vuln triage) in this container. Produces reproducible commands and writes all outputs under /pentest/ (recon/, scans/, exploits/, reports/).

⬇0 ❤2 3小时前·上传 Detail →
yohayetsion yohayetsion
from GitHub 数据与AI
  • 📄 SKILL.md
tracking analytics security

analytics-tracking

Set up, improve, or audit analytics tracking and measurement. Use when user says 'set up tracking', 'GA4', 'Google Analytics', 'conversion tracking', 'event tracking', 'UTM parameters', 'tag manager', or 'tracking plan'.

⬇0 ❤2 4小时前·上传 Detail →
eovidiu eovidiu
from GitHub 数据与AI
  • 📁 references/
  • 📄 SKILL.md
claude ai code

claude-deep-expert

Deep expert on the Claude platform — models, APIs, SDKs, AWS Bedrock, Google Vertex AI, Claude Code CLI, prompt engineering, and MCP. Provides precise, opinionated guidance with exact API shapes, model IDs, code examples, and trade-off analysis. Use when configuring Claude on Bedrock, choosing models, designing API integrations, optimizing prompts, or architecting with Claude Code. Trigger phrases include "how do I configure Claude on Bedrock", "what's the right model for X", "Claude API", "Vertex AI Claude", "Claude Code setup".

⬇0 ❤2 7小时前·上传 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 AI semantic + 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.

AI Semantic Search 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