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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
WhiteNightShadow WhiteNightShadow
from GitHub Development & Coding
  • 📁 cases/
  • 📁 examples/
  • 📁 references/
  • 📄 .gitignore
  • 📄 CHANGELOG_v2.9.0.md
  • 📄 README.md
python data node.js

hello_js_reverse_skill

Node.js / Python 接口自动化与签名还原工程技能：对自有平台或已授权平台的 Web API 进行签名分析与接口对接， 通过 Camoufox 反检测浏览器动态调试与静态源码分析，定位并还原前端加密/签名逻辑， 使用 Node.js 或 Python 实现算法复现与自动化接口调用。 深度集成 camoufox-reverse MCP v0.8.0（C++ 引擎级指纹伪装，78 个逆向分析工具，域级 Session 档案 + 断言系统）。 擅长 JSVMP 虚拟机保护的双路径攻克：路径 A 算法追踪（Hook / 插桩 / 日志分析 / 源码级插桩四板斧， 通用对RS 5/6、Akamai sensor_data、webmssdk、obfuscator.io）、 路径 B 环境伪装（jsdom/vm 沙箱 + 浏览器环境采集对比 + 全量补丁）。 v2.6.0 新增反爬类型三分法（签名型/行为型/纯混淆）作为顶层决策框架，明确 pre_inject_hooks 与 hook_jsvmp_interpreter(mode="proxy") 对签名型反爬不可用， 引入 mode="transparent" 签名安全备选与 MCP 侧 AST 源码插桩（消除 CDN 依赖）。 v2.9.0 新增域级 Session 档案（跨任务复用反爬判定/指纹基准/Cookie 归因）与断言驱动交付体系， Phase 5 升级为断言驱动结构化交付，新增降级梯度原则防止 AI 过早放弃。

⬇0 ❤175 27 days ago · Uploaded Detail →
pass-agent pass-agent
from GitHub Development & Coding
  • 📄 SKILL.md
applications building backend

elixir-expert

Expert in Elixir, Phoenix Framework, and OTP. Specializes in building concurrent, fault-tolerant, and real-time applications using the BEAM. Use when building Elixir applications, working with Phoenix, implementing GenServers, or designing distributed systems on the BEAM.

⬇0 ❤173 24 days ago · Uploaded Detail →
choyiny choyiny
from GitHub Ops & Delivery
  • 📄 SKILL.md
saasmail cloudflare configure

saasmail-onboarding

Interactive setup wizard for deploying your own saasmail instance to Cloudflare. Use this skill when the user wants to set up saasmail, deploy it, configure Cloudflare resources, or get started with the project. Also trigger when the user says "onboarding", "setup", "deploy saasmail", "get started", or asks how to install/configure saasmail.

⬇0 ❤103 5 days ago · Uploaded Detail →
DefangLabs DefangLabs
from GitHub Ops & Delivery
  • 📄 SKILL.md
devops authentication deployment

defang

Deploy the current project to the cloud using Defang. Guides through CLI setup, authentication, compose file creation, stack selection, config management, and deployment.

⬇0 ❤151 13 days ago · Uploaded Detail →
rstackjs rstackjs
from GitHub Data & AI
  • 📁 scripts/
  • 📄 SKILL.md
storybook upstream changes

storybook-sync

Check and analyze upstream Storybook repository changes that may need to be synced to storybook-rsbuild. Use this skill whenever the user wants to check for upstream Storybook changes, review what's new in the official Storybook repo, identify changes needing sync, or compare storybook-rsbuild against the upstream. Activate for phrases like "check upstream", "sync check", "storybook changes", "need to sync", "what changed upstream", or any mention of tracking changes from storybookjs/storybook. Even casual mentions like "anything new in storybook?" should trigger this skill.

⬇0 ❤152 14 days ago · Uploaded Detail →
tavily-ai tavily-ai
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation docs ai

tavily-best-practices

Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.

⬇0 ❤172 27 days ago · Uploaded Detail →
tensorlakeai tensorlakeai
from GitHub Development & Coding
  • 📄 SKILL.md
automation tensorlake sandbox

tensorlake

Tensorlake SDK — guide for writing code that uses Tensorlake's sandbox product to build applications and AI agents. Use when the user mentions tensorlake or sandboxes, or asks about Tensorlake APIs/docs/capabilities. Also use when the user is building an application, coding agent, or agentic system that needs a sandbox to run code — for example, executing LLM-generated or untrusted code, a sandbox that persists across sessions via suspend/resume, snapshots for forking parallel workers, custom sandbox images, exposing ports out of a sandbox, egress allowlists, PTY/interactive shells, computer-use / desktop automation, or file transfer in/out. Also covers Tensorlake's sandbox-native durable workflow orchestration. Works alongside any LLM provider (OpenAI, Anthropic), agent framework (LangChain), database, or API as the infrastructure layer.

⬇0 ❤172 28 days ago · Uploaded Detail →
romovpa romovpa
from GitHub Research & Analysis
  • 📄 SKILL.md
loop autoresearch repeatedly

claudini

Run one iteration of the autoresearch loop — study existing attack methods, design a better optimizer, implement it, benchmark it, and commit. Meant to be called repeatedly via /loop.

⬇0 ❤171 28 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