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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
AllBeingsFuture AllBeingsFuture
from GitHub Development & Coding
  • 📁 templates/
  • 📄 LICENSE.txt
  • 📄 SKILL.md
art algorithmic creating

allbeingsfuture/skills@algorithmic-art

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

⬇0 ❤72 27 days ago · Uploaded Detail →
jaechang-hits jaechang-hits
from GitHub Content & Multimedia
  • 📄 SKILL.md
guidelines documents clinical

clinical-decision-support-documents

Guidelines for generating clinical decision support (CDS) documents: patient cohort analyses (biomarker-stratified outcomes) and treatment recommendation reports (GRADE-graded evidence). Covers document structure, executive summary design, evidence grading (GRADE 1A–2C), statistical reporting (HR, CI, survival), and biomarker integration. Use when creating pharmaceutical research documents, clinical guidelines, or regulatory submissions.

⬇0 ❤71 25 days ago · Uploaded Detail →
integromat integromat
from GitHub Testing & Security
  • 📁 references/
  • 📄 SKILL.md
mcp make backend

make-mcp-reference

This skill should be used when the user asks about "Make MCP server", "Make MCP tools", "MCP token", "Make OAuth", "scenario as tool", "MCP scopes", "Make API access", "connect Make to Claude", "scenario not appearing", "MCP timeout", "MCP connection refused", or discusses configuring, troubleshooting, or understanding the Make.com MCP server integration. Provides technical reference for connection methods, scopes, access control, and troubleshooting.

⬇0 ❤21 1 day ago · Uploaded Detail →
keeprlabs keeprlabs
from GitHub Tools & Productivity
  • 📄 SKILL.md
something later team

keepr-add-followup

Capture a follow-up item in Keepr. Use when the user mentions wanting to remember something for a later 1:1, surface a topic in their next team conversation, track a commitment they made to a team member, or note something to check on later.

⬇0 ❤21 2 days ago · Uploaded Detail →
niaka3dayo niaka3dayo
from GitHub Docs & Knowledge
  • 📁 references/
  • 📄 LICENSE.txt
  • 📄 SKILL.md
knowledge quality vrchat

unity-vrc-skills-renovator

VRChat skill renovator for knowledge fill, refresh, and quality improvement. Use this skill when updating VRChat skills to new SDK versions, filling missing knowledge, fixing outdated information, or improving skill quality. Targets unity-vrc-udon-sharp and unity-vrc-world-sdk-3 skills.

⬇0 ❤70 23 days ago · Uploaded Detail →
phodal phodal
from GitHub Docs & Knowledge
  • 📁 examples/
  • 📁 specs/
  • 📄 SKILL.md
fitness docs entrix

entrix

Set up or repair Entrix fitness specs in the current repository by discovering real quality signals, generating docs/fitness, and iterating with entrix validation until the result is executable. Use when the user asks to bootstrap entrix, add or split fitness dimensions, repair invalid fitness specs, or make docs/fitness actually runnable.

⬇0 ❤71 26 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