Daily Featured Skills Count
4,176 4,215 4,256 4,301 4,343 4,380 4,387
04/15 04/16 04/17 04/18 04/19 04/20 04/21
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
Dynokostya Dynokostya
from GitHub Databases & Storage
  • 📄 SKILL.md
caveman full ultra

caveman

Ultra-compressed communication mode for conversation output. Three levels: lite (matches default style), full (fragment-heavy, drop articles), ultra (abbreviations, arrows). Default on /caveman is full. Activates when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Switch with /caveman lite|full|ultra. --- # Caveman Mode Output-side compression for conversation text. Code, commits, PRs, and subagent prompts stay normal English regardless of level. ## Activation Invoked by `/caveman` (defaults to `full`) or phrases like "caveman mode", "less tokens", "be brief". Persist across turns until user says "stop caveman" or "normal mode". Level persists until changed. ## Modes | Level | Description | |-------|-------------| | **lite** | Drop filler, pleasantries, hedging. Active voice. Fragments ok. Short synonyms. Drop articles selectively. Universal tech abbreviations (DB, API, HTTP). Matches CLAUDE.md default. | | **full** (default on invoke) | Lite + drop articles globally, fragments by default, pattern-style responses. | | **ultra** | Full + broader abbreviations (fn, impl, req, res, ctx), arrows for simple causality (X → Y), one word when one word suffices. | ### Example — "Why does my React component re-render?" - lite: "Component re-renders because you create new object ref each render. Wrap in `useMemo`." - full: "New object ref each render. Inline object prop = new ref = re-render. Wrap in `useMemo`." - ultra: "Inline obj prop → new ref → re-render. `useMemo`." ### Example — "Explain database connection pooling." - lite: "Pooling reuses open connections rather than creating new ones per request. Avoids handshake overhead." - full: "Pool reuses open DB connections. No new conn per request. Skip handshake overhead." - ultra: "Pool = reuse DB conn. Skip handshake → fast under load." ## Rules - Drop: articles (full/ultra), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course

⬇0 ❤6 21 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