Daily Featured Skills Count
4,256 4,301 4,343 4,380 4,407 4,442 4,475
04/17 04/18 04/19 04/20 04/21 04/22 04/23
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
okx okx
from GitHub Ops & Delivery
  • 📄 SKILL.md
data dca contract

okx-cex-bot

Manage Grid bots (spot/contract/coin-margined) and DCA Martingale bots (Spot DCA 现货马丁 / Contract DCA 合约马丁) on OKX. Covers create, stop, amend, monitor P&L, TP/SL, margin/investment adjustment, and AI-recommended parameters. Requires API credentials. Not for regular orders (okx-cex-trade), market data (okx-cex-market), or account info (okx-cex-portfolio).

⬇0 ❤180 19 days ago · Uploaded Detail →
geekjourneyx geekjourneyx
from GitHub Docs & Knowledge
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
news categorization summarization

ai-daily-news

Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes and shareable card images. Use when user asks about AI news, daily tech updates, or wants news organized by date or category.

⬇0 ❤180 19 days ago · Uploaded Detail →
alexandre-daubois alexandre-daubois
from GitHub Ops & Delivery
  • 📄 SKILL.md
caddy devops ember

ember-json

Use Ember's JSON output to programmatically inspect Caddy and FrankenPHP state from scripts, CI pipelines, or AI coding agents. Use this skill whenever someone wants to query Caddy metrics from the command line, parse ember output with jq, write a script that checks server health, detect 5xx errors programmatically, compare metrics before and after a deployment, use ember in a CI/CD pipeline, automate Caddy monitoring, or wait for Caddy readiness in a script. Also trigger when an AI agent needs to inspect the current state of a Caddy server: ember's JSON mode is the tool for that.

⬇0 ❤183 21 days ago · Uploaded Detail →
okx okx
from GitHub Testing & Security
  • 📁 _shared/
  • 📁 references/
  • 📄 SKILL.md
wallet sign contract

okx-agentic-wallet

Use this skill when the user mentions wallet login, sign in, verify OTP, add wallet, switch account, wallet status, logout, wallet balance, assets, holdings, send tokens, transfer ETH, transfer USDC, pay someone, send crypto, send ERC-20, send SPL, transaction history, recent transactions, tx status, tx detail, order list, call smart contract, interact with contract, execute contract function, send calldata, invoke smart contract, show my addresses, wallet addresses, deposit, receive, receive address, top up, fund my wallet, sign message, personal sign, personalSign, eip712, sign data, sign typed data, sign EIP-712, TEE signing, trusted execution environment. Chinese: 登录钱包, 钱包登录, 验证OTP, 添加钱包, 切换账户, 钱包状态, 退出登录, 余额, 资产, 钱包列表, 账户列表, 发送代币, 转账, 交易历史, 交易记录, 合约调用, 我的地址, 钱包地址, 充值, 充币, 收款, 收款地址, 入金, 签名消息, 消息签名, TEE签名, 可信执行环境. Manages the wallet lifecycle: auth (login, OTP verify, account addition, switching, status, logout), authenticated balance queries, wallet address display (grouped by XLayer/EVM/Solana), token transfers (native & ERC-20/SPL), transaction history, smart contract calls, message signing (personalSign for EVM & Solana, EIP-712 for EVM)

⬇0 ❤187 24 days ago · Uploaded Detail →
AmrDab AmrDab
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 docs/
  • 📁 guides/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 CHANGELOG.md
ai automation backend

clawdcursor

OS-level desktop automation tool server. 42 tools for controlling any application on Windows, macOS, and Linux. Model-agnostic — works with any AI that can do function calling via REST or MCP (Claude, GPT, Gemini, Llama, Mistral, or plain HTTP). No built-in LLM in serve/mcp mode. You are the brain. ClawdCursor is the hands.

⬇0 ❤179 19 days ago · Uploaded Detail →
chainstacklabs chainstacklabs
from GitHub Data & AI
  • 📄 api-reference.md
  • 📄 SKILL.md
position opportunity portfolio

Entering an Alphapoly Position

Executes a covered pair trade (target + cover) on Polymarket with estimate, confirmation, and position recording. Use when entering a new position from a detected portfolio opportunity. Also use when the user says "buy", "trade", "open a position", "place an order", "enter", or wants to act on any portfolio opportunity.

⬇0 ❤132 7 days ago · Uploaded Detail →
jontsai jontsai
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 config/
  • 📁 docs/
  • 📄 .gitignore
  • 📄 .prettierignore
  • 📄 .prettierrc
automation ai intelligence

command-center

Mission control dashboard for OpenClaw - real-time session monitoring, LLM usage tracking, cost intelligence, and system vitals. View all your AI agents in one place.

⬇0 ❤184 23 days ago · Uploaded Detail →
gupsammy gupsammy
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
openclaw automation docs

claw-advisor

This skill should be used when the user asks about OpenClaw configuration, troubleshooting, setup, architecture, or any OpenClaw question. Triggers on "how do I configure OpenClaw", "set up telegram in OpenClaw", "gateway configuration", "OpenClaw troubleshooting", "claw advisor", "what's the best way to set up OpenClaw", "OpenClaw docs", "help me with OpenClaw", "openclaw channel setup", "debug OpenClaw", or needs guidance on OpenClaw features, channels, gateway, automation, models, or design decisions.

⬇0 ❤181 21 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