Daily Featured Skills Count
4,524 4,564 4,605 4,651 4,689 4,727 4,738
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

zjinhu zjinhu
from GitHub Data & AI
  • 📁 .swiftpm/
  • 📁 Example/
  • 📁 fastlane/
  • 📄 .DS_Store
  • 📄 .gitignore
  • 📄 LICENSE

SwiftMesh

> A comprehensive AI reference for using SwiftMesh — an Alamofire + Codable wrapper with async/await, Combine, fluent configuration, file upload/download, JSON key path parsing, resilient Codable wrappers, and built-in logging.

0 32 26 days ago · Uploaded Detail →
pmYangKun pmYangKun
from GitHub Docs & Knowledge
  • 📁 dist/
  • 📁 evals/
  • 📁 references/
  • 📄 CHANGELOG.md
  • 📄 install.ps1
  • 📄 install.sh

check-prd

Review B端 PRDs, requirement docs, SaaS or enterprise product specs, and system design documents with a 14-dimension quality framework. Use this whenever the user asks to check, review, critique, improve, or find gaps in a PRD, 需求文档, 产品方案, B端系统设计, SaaS spec, or similar design document, even if they only say “帮我看看这个 PRD/方案/需求”.

0 32 27 days ago · Uploaded Detail →
clerk clerk
from GitHub Testing & Security
  • 📁 .claude-plugin/
  • 📁 references/
  • 📄 SKILL.md

clerk-android

Implement Clerk authentication for native Android apps using Kotlin and Jetpack Compose with clerk-android source-guided patterns. Use for prebuilt AuthView/UserButton or custom API-driven auth flows. Do not use for Expo or React Native projects.

0 32 27 days ago · Uploaded Detail →
farooqarahim farooqarahim
from GitHub Development & Coding
  • 📄 SKILL.md

code-review

Structured code review checklist for the Reviewer agent. Provides a systematic framework for evaluating code changes across correctness, security, performance, and maintainability.

0 13 3 days ago · Uploaded Detail →
huangrichao2020 huangrichao2020
from GitHub Development & Coding
  • 📁 references/
  • 📄 README.md
  • 📄 SKILL.md

hermes-agent-health-check

Audit a NousResearch/hermes-agent checkout or fork for Hermes-specific runtime-contract drift, command-surface splits, memory/skill/gateway health, and agent architecture risks. Uses the hermescheck Python library (hermescheck.report.v1) for structured reports with severity-ranked findings and code-first fix plans.

0 13 3 days ago · Uploaded Detail →
kilroy-sh kilroy-sh
from GitHub Tools & Productivity
  • 📄 SKILL.md

using-kilroy

Use when starting work on code with non-obvious constraints or history, debugging, making architectural decisions, working with external services, when the user references something from a past session, or after completing analyses, hitting unexpected results, or resolving issues worth capturing for future sessions. --- <subagent-stop> If dispatched as a subagent to execute a specific task, skip this. </subagent-stop> Kilroy is the project's knowledge base — notes from past agent sessions, teammates, and humans. It persists across sessions, machines, and the project. It is NOT local auto-memory. **If Kilroy tools are failing or returning auth errors, re-run the install script from the project's web dashboard.** ## Project Routing Check `.kilroy/config.toml` for the project mapping. If it exists and has a `project` field, pass that value as the `project` parameter on every Kilroy tool call.

0 9 1 day ago · Uploaded Detail →
mismosmi mismosmi
from GitHub Tools & Productivity
  • 📄 approval_dialog.applescript
  • 📄 container_claude_md.txt
  • 📄 Dockerfile

ai-pod

This skill should be used when the user asks to run a command on the host machine, open an application on the host, send a desktop notification to the user, list previously approved host commands, or manage long-running background processes (daemons) on the host. Provides the host-tools binary at /home/ai-pod/.local/bin/host-tools.

0 9 2 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