903 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
zebbern zebbern
from GitHub Testing & Security
  • 📁 references/
  • 📄 SKILL.md
ticket kerberoasting pass-the-hash

Active Directory Attacks

This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync", "pass-the-hash", "BloodHound enumeration", "Golden Ticket", "Silver Ticket", "AS-REP roasting", "NTLM relay", or needs guidance on Windows domain penetration testing.

⬇0 ❤3.5K 6小时前·上传 Detail →
dynatrace-oss dynatrace-oss
from GitHub Testing & Security
  • 📁 references/
  • 📄 embed.go
  • 📄 SKILL.md
automation dynatrace dtctl

dtctl

Manage Dynatrace environments using dtctl - install/update the CLI, configure authentication with OS keyring tokens, and run kubectl-style operations (get/describe/edit/apply/delete/query/exec/commands) for workflows, dashboards, notebooks, DQL, SLOs, settings, buckets, lookups, OpenPipeline, and Davis AI. Use when the user wants to control Dynatrace resources via dtctl.

⬇0 ❤75 12小时前·上传 Detail →
bitget-wallet-ai-lab bitget-wallet-ai-lab
from GitHub Testing & Security
  • 📁 docs/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 COMPATIBILITY.md
security token data

bitget-wallet

Interact with Bitget Wallet API for crypto market data, token info, swap quotes, and security audits. Use when the user asks about token prices, market data, swap/trading quotes, token security checks, K-line charts, or token rankings on supported chains (ETH, SOL, BSC, Base, etc.).

⬇0 ❤101 1天前·上传 Detail →
nagisanzenin nagisanzenin
from GitHub Testing & Security
  • 📄 SKILL.md
protocols null cat

code-reviewer

[production-grade internal] Reviews code for quality — architecture conformance, anti-patterns, performance issues, maintainability. Read-only analysis, never modifies code. Routed via the production-grade orchestrator. --- # Code Reviewer Skill ## Protocols !`cat Claude-Production-Grade-Suite/.protocols/ux-protocol.md 2>/dev/null || true` !`cat Claude-Production-Grade-Suite/.protocols/input-validation.md 2>/dev/null || true` !`cat Claude-Production-Grade-Suite/.protocols/tool-efficiency.md 2>/dev/null || true` !`cat Claude-Production-Grade-Suite/.protocols/visual-identity.md 2>/dev/null || true` !`cat Claude-Production-Grade-Suite/.protocols/freshness-protocol.md 2>/dev/null || true` !`cat Claude-Production-Grade-Suite/.protocols/receipt-protocol.md 2>/dev/null || true` !`cat Claude-Production-Grade-Suite/.protocols/boundary-safety.md 2>/dev/null || true` !`cat .production-grade.yaml 2>/dev/null || echo "No config — using defaults"` **Fallback (if protocols not loaded):** Use AskUserQuestion with options (never open-ended), "Chat about this" last, recommended first. Work continuously. Print progress constantly. Validate inputs before starting — classify missing as Critical (stop), Degraded (warn, continue partial), or Optional (skip silently). Use parallel tool calls for independent reads. Use smart_outline before full Read. ## Engagement Mode !`cat Claude-Production-Grade-Suite/.orchestrator/settings.md 2>/dev/null || echo "No settings — using Standard"` | Mode | Behavior | |------|----------| | **Express** | Full review, report findings. No interaction during review. Present final report. | | **Standard** | Surface critical architecture drift or anti-patterns immediately. Present final report with severity distribution. | | **Thorough** | Show review scope and checklist before starting. Present findings per category. Ask about which quality standards matter most (performance vs maintainability vs consistency). | | **Meticulous** | Walk through review categories o

⬇0 ❤54 12小时前·上传 Detail →
jnorthrup jnorthrup
from GitHub Testing & Security
  • 📁 agents/
  • 📁 scripts/
  • 📄 methodology_compact.md
  • 📄 OnePager.md
  • 📄 SKILL.md
methodology conductor methodology_compact.md

conductor

Provides a compact, token‑efficient representation of the Conductor methodology. The bundled methodology file is `methodology_compact.md`. Core command `conductor implement` remains literal English.

⬇0 ❤46 7小时前·上传 Detail →
cmjang cmjang
from GitHub Testing & Security
  • 📁 adapters/
  • 📁 agents/
  • 📁 references/
  • 📄 .gitignore
  • 📄 LICENSE
  • 📄 README.md
mjlab docs isaaclab

isaaclab-to-mjlab

Use when asked to migrate IsaacLab projects to mjlab, compare IsaacLab and mjlab APIs, import meshes into mjlab tasks, or author new mjlab-native tasks/components directly from local or bundled mjlab docs and examples. Prefer mjlab public APIs, preserve behavior in migration mode, and avoid compatibility layers.

⬇0 ❤35 7小时前·上传 Detail →
ThirdKeyAI ThirdKeyAI
from GitHub Testing & Security
  • 📁 .github/
  • 📁 agents/
  • 📁 crates/
  • 📄 .dockerignore
  • 📄 .env.example
  • 📄 .gitignore
security automation docs

symbiont

AI-native agent runtime with typestate-enforced ORGA reasoning loop, Cedar policy authorization, knowledge bridge, zero-trust security, multi-tier sandboxing, webhook verification, markdown memory, skill scanning, metrics, scheduling, and a declarative DSL

⬇0 ❤34 7小时前·上传 Detail →
bnomei bnomei
from GitHub Testing & Security
  • 📄 SKILL.md
backend raymon search

raymon

Use Raymon’s MCP server to search and inspect Ray-style logs. Use when you need to (1) set up Raymon as an MCP server (local or remote with auth), (2) search stored entries with filters/pagination, or (3) fetch full entry payloads by UUID for debugging/triage.

⬇0 ❤16 9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