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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
furkancingoz furkancingoz
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 commands/
  • 📁 docs/
  • 📄 CLAUDE.md
  • 📄 INSTALL.md
  • 📄 LICENSE
store data app

aso

Complete App Store Optimization toolkit - generate metadata in any language, analyze competitors, optimize keywords, set up IAPs/subscriptions, and submit to App Store Connect via direct API

⬇0 ❤21 25 days ago · Uploaded Detail →
cagdotin cagdotin
from GitHub Research & Analysis
  • 📄 SKILL.md
loop autoresearch optimize

autoresearch-create

Set up and run an autonomous experiment loop for any optimization target. Gathers what to optimize, then starts the loop immediately. Use when asked to "run autoresearch", "optimize X in a loop", "set up autoresearch for X", or "start experiments".

⬇0 ❤21 25 days ago · Uploaded Detail →
myrtlepn myrtlepn
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation phase mst

accept

완료된 결과물을 최종 수락합니다 (Phase 3 → Phase 5). Worktree를 main에 머지하고 정리합니다. 사용자가 '수락', '머지', '최종 수락'을 말하거나 /mst:accept를 호출할 때 사용. 기본적으로 /mst:approve에서 자동 호출되며, workflow.auto_accept_result=false 시 수동 사용.

⬇0 ❤21 25 days ago · Uploaded Detail →
jackmusick jackmusick
from GitHub Tools & Productivity
  • 📄 app-patterns.md
  • 📄 import-patterns.md
  • 📄 platform-api.md
automation bifrost artifacts

bifrost:build

Build Bifrost workflows, forms, and apps. Use when user wants to create, debug, or modify Bifrost artifacts. Supports SDK-first (local dev + git) and MCP-only modes.

⬇0 ❤21 25 days ago · Uploaded Detail →
Dynatrace Dynatrace
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
data dashboard visualizations

dt-app-dashboards

Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations. Supports dashboard creation, updates, data extraction, structure analysis, and best practices.

⬇0 ❤21 26 days ago · Uploaded Detail →
hw-native-sys hw-native-sys
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
backend constraints differences

pto-isa-dev

Work effectively in PTO-ISA: choose the right backend, run CPU/SIM/NPU flows, trace instruction constraints, understand A2/A3 vs A5 differences, align with PTO-AS, and debug failures.

⬇0 ❤21 27 days ago · Uploaded Detail →
Know-Your-People Know-Your-People
from GitHub Docs & Knowledge
  • 📁 .cursor/
  • 📁 skills/
  • 📄 .gitignore
  • 📄 LICENSE
  • 📄 README.md
intelligence connections contacts

peeps

Personal network intelligence — remember people, find connections, and draft intros. Contacts stored locally as plain markdown files.

⬇0 ❤21 27 days ago · Uploaded Detail →
BrOrlandi BrOrlandi
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
jira when prs

jira-link

Link GitHub PRs to Jira tasks and vice-versa. Automatically triggered after creating a PR (via /pr) or when working on Jira task status updates. Adds the Jira issue key to the PR title and adds the PR URL as a remote link on the Jira issue. Only activates for repositories belonging to GitHub organizations that have a configured Jira project mapping. Use when creating PRs, linking PRs to Jira, or when the user mentions connecting a PR with a Jira task.

⬇0 ❤19 16 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