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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

0x0pointer 0x0pointer
from GitHub Development & Coding
  • 📄 SKILL.md

ad-assessment

Active Directory security audit using the MITRE ATT&CK framework. Full domain enumeration, trust mapping, GPO analysis, ACL abuse paths, ADCS attacks (ESC1-ESC8), delegation abuse (constrained/unconstrained/RBCD), fine-grained password policies, LAPS deployment, service account security, and Kerberos configuration. Uses enum4linux-ng, netexec, impacket, ldapsearch, certipy-ad, bloodhound-python, and rpcclient. Produces attack path diagrams, prioritized risk register, and PoCs. Chains into /gh-export for issue filing.

0 9 1 month ago · Uploaded Detail →
cofin cofin
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md

advanced-alchemy

Auto-activate for alembic/, alembic.ini, advanced_alchemy imports. Expert knowledge for Advanced Alchemy / SQLAlchemy ORM patterns. Produces ORM models with audit trails, repository/service patterns, and Alembic migrations. Use when: defining models with UUIDAuditBase, building repositories and services, configuring SQLAlchemy plugins for Litestar/FastAPI/Flask/Sanic, creating DTOs, running Alembic migrations, using custom types (EncryptedString, FileObject, PasswordHash, DateTimeUTC), composing filters and pagination, choosing base classes and mixins, configuring dogpile.cache query caching, setting up read/write replica routing, or managing file storage with obstore/fsspec backends. Not for raw SQLAlchemy without Advanced Alchemy abstractions.

0 9 1 month ago · Uploaded Detail →
fastapi-practices fastapi-practices
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md

fba

FastAPI Best Architecture (fba) project development guide. Provide complete architecture specifications, coding styles, and plugin development guidance.

0 8 1 month ago · Uploaded Detail →
twtrubiks twtrubiks
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md

api-routing-standards

在 MergeMeet 專案中建立或修改 API 路由時使用此 skill。它強制執行「禁止尾隨斜線」標準以防止 404 錯誤。適用於處理 FastAPI 路由、修復 404 錯誤或審查 API 端點定義時。

0 8 1 month ago · Uploaded Detail →
ugudlado ugudlado
from GitHub Development & Coding
  • 📄 SKILL.md

bootstrap

Verify and install project tooling before feature development. Detects language (Node/TS, Python, Rust, Go), installs linter, formatter, type checker, dead code detection, pre-commit hooks, test framework, and standardized scripts. Idempotent — tracks state in .tooling-state.json. Use when starting a new project, when /develop Phase 4c runs, or when the user says "bootstrap", "setup tooling", "install dev tools", "quality gates".

0 8 1 month ago · Uploaded Detail →
alxayo alxayo
from GitHub Development & Coding
  • 📁 examples/
  • 📄 bandit.md
  • 📄 README.md
  • 📄 SKILL.md

bandit-security-scan

Security audit of Python source code (.py, setup.py, pyproject.toml) for security vulnerabilities using Bandit AST analysis. (1) Detects exec/eval code execution, pickle/yaml deserialization, subprocess shell injection, SQL injection, hardcoded credentials, weak cryptography, OWASP Top 10 Python issues. Use for Python security audits, Django/Flask apps, malicious Python code triage, CI/CD pipelines. NOT use for dependency/package audits (use guarddog), non-Python code (use graudit), shell scripts (use shellcheck). For mixed Python projects, combine with graudit -d secrets for comprehensive coverage.

0 8 1 month ago · Uploaded Detail →
sergio-bershadsky sergio-bershadsky
from GitHub Testing & Security
  • 📁 references/
  • 📄 SKILL.md

django-dev-ninja

This skill should be used when the user asks to "create api endpoint", "django ninja", "django api", "add endpoint", "rest api django", "ninja router", "api schemas", or mentions API development, endpoint organization, or Pydantic schemas in Django projects. Provides Django Ninja patterns with 1-endpoint-per-file organization. --- # Django Ninja API Development Opinionated Django Ninja patterns with single-endpoint-per-file organization. ## Core Principles 1. **One endpoint = one file** - Each endpoint lives in its own file 2. **Logical grouping** - Endpoints grouped in subpackages by domain 3. **Router per group** - Each group has its own router 4. **Schemas in separate package** - Pydantic models in `schemas/` 5. **Services for logic** - Business logic in services, not endpoints ## API Structure ``` myapp/ ├── api/ │ ├── __init__.py # Main NinjaAPI instance │ ├── users/ │ │ ├── __init__.py # Router: users_router │ │ ├── list.py # GET /users/ │ │ ├── detail.py # GET /users/{id} │ │ ├── create.py # POST /users/ │ │ ├── update.py # PUT /users/{id} │ │ └── delete.py # DELETE /users/{id} │ ├── products/ │ │ ├── __init__.py │ │ ├── list.py │ │ ├── detail.py │ │ └── search.py │ └── auth/ │ ├── __init__.py │ ├── login.py │ ├── logout.py │ └── refresh.py └── schemas/ ├── __init__.py ├── user.py # UserIn, UserOut, UserPatch ├── product.py └── common.py # Pagination, errors ``` ## Main API Setup In `api/__init__.py`: ```python from ninja import NinjaAPI from ninja.security import HttpBearer from .users import router as users_router from .products import router as products_router from .auth import router as auth_router class AuthBearer(HttpBearer): def authenticate(self, request, token): # Token validation logic from ..services.auth import AuthService return AuthService.validate_token(token) api = NinjaAPI( title="My API",

0 8 1 month ago · Uploaded Detail →
Bzy-0326 Bzy-0326
from GitHub Research & Analysis
  • 📁 agents/
  • 📁 references/
  • 📄 SKILL.md

paper-reader

Public skill for installing, running, debugging, improving, and handing off a Paper Reader style product built with Next.js and FastAPI. Use when the user wants to work on a paper discovery and recommendation app with ranking cards, detail pages, and reproducibility evidence.

0 8 1 month ago · Uploaded Detail →
dannyxiaocn dannyxiaocn
from GitHub Development & Coding
  • 📄 SKILL.md

agent:creator-mode

Create or modify tools (.json + .sh pairs) and skills (SKILL.md files) and hot-reload them into the active conversation using reload_capabilities. Use when you want to build a new capability, extend yourself with a new tool, fix an existing tool, create or update a skill, or build a complete application (web server, API, data pipeline, CLI) — all without restarting. --- ## Overview You can extend yourself at runtime. New tools and skills take effect immediately via `reload_capabilities` — no session restart required. Session-scoped capabilities live in `core/` inside your session directory: - **Tools**: `core/tools/<name>.json` (schema) + `core/tools/<name>.sh` (implementation) - **Skills**: `core/skills/<name>/SKILL.md` (frontmatter + body) **There is no limit on what a tool can do.** The shell script can call Python, Node.js, any language or binary on the system. Build first, use immediately. --- ## Building a tool

0 7 23 days ago · Uploaded Detail →
nia-agent-cyber nia-agent-cyber
from GitHub Content & Multimedia
  • 📁 .github/
  • 📁 channel-plugin/
  • 📁 config/
  • 📄 .coverage
  • 📄 .env.example
  • 📄 .gitignore

openai-voice-skill

Add real-time phone calling to AI agents using OpenAI Realtime API and Twilio Media Streams. Use when you want an AI agent to make or receive phone calls with sub-200ms latency, bidirectional audio streaming, and session continuity across voice, Telegram, and email channels. Requires Python 3.9+, a Twilio phone number, and an OpenAI API key with Realtime API access.

0 7 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