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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
lovstudio lovstudio
from GitHub Data & AI
  • 📁 scripts/
  • 📄 README.md
  • 📄 SKILL.md
content article wechat

lovstudio:anti-wechat-ai-check

Analyze articles for AI-generated content indicators and rewrite to pass WeChat's 3.27 non-human automated content creation detection. Checks for template phrases, transition word density, sentence uniformity, paragraph pattern repetition, and other signals that WeChat uses to flag AI content. Outputs a risk report and an optional humanized rewrite. Use when the user wants to check if an article looks AI-generated, make an article more human-like, bypass WeChat AI detection, or humanize AI-written content. Also trigger when the user mentions "去AI痕迹", "人性化润色", "微信AI检测", "anti-ai-check", "humanize article", "公众号发文检查".

⬇0 ❤40 26 days ago · Uploaded Detail →
liqing-ustc liqing-ustc
from GitHub Daily Life
  • 📄 config.json
  • 📄 fetch_and_score.py
  • 📄 SKILL.md
daily huggingface workbench

daily-papers

每日论文推荐。抓取 HuggingFace Daily/Trending + arXiv 最新论文，按研究方向打分筛选， 生成论文笔记后基于深度阅读写出有态度的推荐锐评，保存到 Workbench/daily/。 触发词："今日论文推荐""过去3天论文推荐""过去一周论文推荐""看看最近有什么论文"

⬇0 ❤40 27 days ago · Uploaded Detail →
0xBreadguy 0xBreadguy
from GitHub Data & AI
  • 📄 erc7710-delegations.md
  • 📄 erc8004-trustless-agents.md
  • 📄 foundry-config.md
x402 integrating on-chain

megaeth-developer

End-to-end MegaETH development playbook (Feb 2026). Covers Foundry project setup with MegaETH-specific config, wallet operations, token swaps (Kyber Network), eth_sendRawTransactionSync (EIP-7966) for instant receipts, JSON-RPC batching, real-time mini-block subscriptions, storage-aware contract patterns (Solady RedBlackTreeLib, transient storage), MegaEVM multidimensional gas model, WebSocket keepalive, bridging from Ethereum, Privy headless signing for ultra-low latency, debugging with mega-evme, x402 Permit2 payments on MegaETH (standard flow via x402ExactPermit2Proxy/x402UptoPermit2Proxy at canonical addresses), legacy Meridian x402 payments, and Warren Protocol for on-chain website hosting. Use when building on MegaETH, using Foundry, managing wallets, sending transactions, deploying contracts, integrating Privy embedded wallets, ERC-7710 delegation framework for scoped on-chain permissions, MetaMask Smart Accounts Kit for smart account creation and delegation management, integrating x402 Permit2 payments or Meridian/x402 paid APIs or agent actions, hosting websites on-chain with Warren, or integrating MegaNames (.mega naming service) for name registration, resolution, subdomains, subdomain marketplace (selling/buying subdomains with token gating), and text records.

⬇0 ❤41 1 month ago · Uploaded Detail →
amitdeshmukh amitdeshmukh
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation ax-crew backend

ax-crew

Guide for building multi-agent AI systems with ax-crew. Use when creating agent crews, configuring agents, using MCP servers, shared state, sub-agents, streaming, ACE learning, function registries, metrics/cost tracking, telemetry, or agent workflows with @amitdeshmukh/ax-crew.

⬇0 ❤41 1 month ago · Uploaded Detail →
labring-actions labring-actions
from GitHub Ops & Delivery
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
devops automatically documentation

docker-to-sealos

Convert Docker Compose files or deployment documentation into complete Sealos templates automatically. Use this skill when the user provides Docker Compose YAML content or installation documentation and requests a Sealos template. This skill handles all complexity levels including databases, caching, object storage, ConfigMaps, and persistent volumes. The skill operates fully automatically without requiring user input during conversion.

⬇0 ❤41 1 month ago · Uploaded Detail →
itlackey itlackey
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation ai docs

akm

Search, install, and manage AI agent skills, commands, tools, knowledge, workflows, wikis, vaults, and memories from any source. Works with Claude Code, OpenCode, Cursor, and any AI coding assistant.

⬇0 ❤41 1 month ago · Uploaded Detail →
moxxy-ai moxxy-ai
from GitHub Tools & Productivity
  • 📁 __pycache__/
  • 📄 bridge.py
  • 📄 fetch.py
  • 📄 manifest.toml
automation interactive lightweight

moxxy

Unified browser automation skill. Supports lightweight HTTP fetch for static pages, web search, and full interactive Chromium automation for JS-heavy sites.

⬇0 ❤41 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