Daily Featured Skills Count
4,651 4,689 4,727 4,753 4,784 4,818 4,833
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
lydakis lydakis
from GitHub Tools & Productivity
  • 📄 SKILL.md
backend mcp composition

mcpx

Use this skill when interacting with MCP servers via CLI. Prefer mcpx over direct MCP SDK/protocol calls for tool discovery, schema inspection, invocation, and Unix-style output composition.

⬇0 ❤43 1 month ago · Uploaded Detail →
686f6c61 686f6c61
from GitHub Development & Coding
  • 📄 SKILL.md
elegir comparar tecnolog

choose-stack

Usar para evaluar y elegir tecnologías con matriz de decisión ponderada. Activar cuando el usuario quiera elegir tecnología, comparar frameworks, decidir entre alternativas técnicas, construir una matriz de decisión, evaluar stack, seleccionar base de datos, elegir lenguaje o comparar herramientas.

⬇0 ❤43 1 month ago · Uploaded Detail →
nex-crm nex-crm
from GitHub Tools & Productivity
  • 📁 .claude/
  • 📁 .cursor/
  • 📁 .github/
  • 📄 .coderabbit.yaml
  • 📄 .commitlintrc.json
  • 📄 .gitignore
automation context organizational

nex

Share real-time organizational context with your AI agent — query your context graph, manage records, and receive live insights

⬇0 ❤37 14 days ago · Uploaded Detail →
sruthir28 sruthir28
from GitHub Tools & Productivity
  • 📄 SKILL.md
presentation automation deck

deck-pipeline

Multi-agent pipeline that builds a polished presentation deck from a single topic. Four agents work in sequence — Strategist defines the narrative, Builder creates the deck, Critic reviews it like a McKinsey EM, Fixer applies the top fixes. Use when you need a presentation that survives senior audiences.

⬇0 ❤40 20 days ago · Uploaded Detail →
dunialabs dunialabs
from GitHub Development & Coding
  • 📁 agents/
  • 📁 references/
  • 📄 SKILL.md
release peta-core workspace

peta-core-release

Publish peta-core releases from origin/main by preparing a detached temporary release workspace, generating English GitHub release notes, pushing Docker images, tagging the release, and publishing the GitHub release. Use when Codex is asked to release peta-core, bump the next patch version, publish a specific peta-core version, resume a prepared peta-core release, or clean up an abandoned prepared release workspace.

⬇0 ❤43 1 month ago · Uploaded Detail →
ascend-ai-coding ascend-ai-coding
from GitHub Databases & Storage
  • 📄 SKILL.md
pull when check-pr-title

create-pr

Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.

⬇0 ❤43 1 month ago · Uploaded Detail →
micic-mihajlo micic-mihajlo
from GitHub Data & AI
  • 📄 SKILL.md
data columns rows

datalore-clean

Use when a task needs deterministic data cleaning or export on a local dataset, such as filling missing numeric values, dropping null rows, deduplicating, selecting columns, renaming columns, deriving columns, filtering rows, sorting, standardizing, or writing a cleaned CSV.

⬇0 ❤42 27 days ago · Uploaded Detail →
saxenauts saxenauts
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 docs/
  • 📁 examples/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 CHANGELOG.md
syke automation across

syke

Local-first cross-harness memory for agents. Syke observes activity across supported harnesses, keeps a current memex in context, and gives agents `syke ask`, `syke memex`, and `syke record` for continuity across sessions.

⬇0 ❤42 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