Daily Featured Skills Count
3,840 3,909 3,920 3,927 3,966 4,007 4,027
04/06 04/07 04/08 04/09 04/10 04/11 04/12
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

vm0-ai vm0-ai
from GitHub Data & AI
  • 📄 SKILL.md

account-reconciliation

Perform account reconciliations comparing general ledger balances against subledgers, bank statements, or external records. Use for bank reconciliation, GL-to-subledger reconciliation, intercompany reconciliation, balance sheet reconciliation, reconciling item analysis, outstanding item aging, or clearing open items.

0 52 12 days ago · Uploaded Detail →
micic-mihajlo micic-mihajlo
from GitHub Data & AI
  • 📄 SKILL.md

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 7 days ago · Uploaded Detail →
crafter-station crafter-station
from GitHub Data & AI
  • 📄 SKILL.md

skillkit

Local-first analytics for AI agent skills. Use when user asks about skill usage, analytics, health, context budget, or wants to clean up unused skills.

0 51 12 days ago · Uploaded Detail →
rustyrazorblade rustyrazorblade
from GitHub Data & AI
  • 📄 SKILL.md

data-model

Data modeling and schema design for Apache Cassandra. Use when designing tables, choosing partition keys, modeling time-series data, or reviewing existing schemas.

0 17 2 days ago · Uploaded Detail →
GindaChen GindaChen
from GitHub Data & AI
  • 📄 agent-guide.md
  • 📄 analyze.md
  • 📄 diff.md

nsys-ai

Manage and run builtin analysis skills against Nsight Systems profiles.

0 50 13 days ago · Uploaded Detail →
laziobird laziobird
from GitHub Data & AI
  • 📁 examples/
  • 📁 proofs/
  • 📁 rpa/
  • 📄 .gitignore
  • 📄 config.example.json
  • 📄 envcheck.py

openclaw-rpa

Record browser & local-file actions once; replay runs without the LLM—save $ vs AI browsing, faster, no hallucinations. github.com/laziobird/openclaw-rpa

0 45 9 days ago · Uploaded Detail →
eranshir eranshir
from GitHub Data & AI
  • 📄 SKILL.md

challenger

Truth-seeking sparring partner. Challenges claims, decisions, and documents through structured dialectical analysis. Use when: stress-testing a thesis, making a decision, reviewing a strategy, or seeking rigorous feedback on any assertion.

0 36 6 days ago · Uploaded Detail →
Drjacky Drjacky
from GitHub Data & AI
  • 📁 .github/
  • 📁 assets/
  • 📁 references/
  • 📄 .gitignore
  • 📄 claude-android-ninja.png
  • 📄 LICENSE.md

claude-android-ninja

Create production-quality Android applications following Google's official Android architecture guidance with Kotlin, Jetpack Compose, MVVM architecture, Hilt dependency injection, Room 3 local persistence (KSP, SQLiteDriver, Flow/suspend DAOs), and multi-module architecture. Triggers on requests to create Android projects, modules, screens, ViewModels, repositories, or when asked about Android architecture patterns and best practices.

0 32 5 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