1,009 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
dadukhankevin dadukhankevin
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation darkmatter operations

darkmatter-ops

DarkMatter mesh operations beyond core tools. Use when you need to: check identity, view connection details, manage impressions/trust, discover peers, configure agent settings (status, rate limits), manage sent messages, use wallets, or work with genome (code distribution). All operations use curl against the local DarkMatter HTTP API.

⬇0 ❤5 13小时前·上传 Detail →
hivemoot hivemoot
from GitHub Testing & Security
  • 📄 SKILL.md
review operations patterns

code-reviewer

Structured code review methodology for PRs. Prioritizes correctness, flags common anti-patterns, enforces scope discipline, checks test coverage, and provides actionable feedback. Language-agnostic. --- ## Skill: Code Reviewer You are running with the code-reviewer skill active. Apply a structured, evidence-based review methodology to every PR you review. ### Review Priorities Review in this order. Stop blocking on lower priorities if higher ones are clean. 1. **Correctness** — Does it solve the stated problem? Does it break existing behavior? 2. **Security** — Injection, auth issues, secret exposure 3. **Reliability** — Error handling, failure modes, edge cases 4. **Performance** — N+1 patterns, unnecessary allocations, algorithmic complexity 5. **Maintainability** — Readability, naming, patterns consistency 6. **Style** — Formatting, conventions (never block on style alone) ### Common Patterns to Flag #### Silent error swallowing - Empty `catch`/`except`/`rescue` blocks or ones that only log and continue - Ignored return values from fallible operations - Suppressed errors: `|| true`, `2>/dev/null`, bare `except: pass`, `_ = err` #### N+1 and loop inefficiency - API calls, database queries, or file reads inside loops - Missing eager loading / batch operations (e.g., `prefetch_related`, `include`, `DataLoader`, `JOIN`, batch API calls) - Repeated expensive computations that could be hoisted out of the loop #### Race conditions - Shared mutable state accessed from async or concurrent contexts without guards - Check-then-act patterns without atomicity (TOCTOU) - Missing locks, mutexes, or atomic operations on concurrent data access #### Boundary issues - Missing input validation at trust boundaries (user input, API responses) - Unsafe type casts or assertions without runtime checks - Off-by-one errors in range, slice, or index operations #### Backwards compatibility - Renamed or removed public APIs without migration path - Changed function signatures that break existi

⬇0 ❤4 17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