Daily Featured Skills Count
4,483 4,524 4,564 4,605 4,651 4,689 4,727
04/23 04/24 04/25 04/26 04/27 04/28 04/29
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

breath57 breath57
from GitHub Data & AI
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md

dingtalk-ai-table

钉钉 AI 表格(多维表格)操作。当用户提到"钉钉AI表格"、"AI表格"、"多维表格"、"工作表"、"字段"、"记录"、"新增记录"、"查询记录"、"更新记录"、"删除记录"、"新建字段"、"删除字段"、"dingtalk AI table"、"dingtalk notable"、"able文件"时使用此技能。支持工作表管理、字段管理、记录的增删改查等全部操作。

0 37 29 days ago · Uploaded Detail →
davidromeo davidromeo
from GitHub Business & Operations
  • 📁 references/
  • 📄 SKILL.md

tradeblocks-compare

Performance comparison for trading strategies. Compare backtest vs actual results, strategy vs strategy metrics, or period vs period performance. Use when exploring differences between theoretical and live execution, understanding how two strategies relate, or analyzing performance across time periods.

0 37 29 days ago · Uploaded Detail →
kastelldev kastelldev
from GitHub Testing & Security
  • 📁 .github/
  • 📁 .supply-chain-risk-auditor/
  • 📁 assets/
  • 📄 .gitignore
  • 📄 .npmignore
  • 📄 .prettierrc

kastell

Server security auditing, hardening, and fleet management. 457 security checks across 30 categories (SSH, Firewall, Docker, TLS, HTTP Headers), CIS/PCI-DSS/HIPAA compliance mapping, 24-step production hardening, and 13 MCP tools. Supports Hetzner, DigitalOcean, Vultr, and Linode with Coolify, Dokploy, and bare VPS modes. Install: claude plugins add kastell

0 37 1 month ago · Uploaded Detail →
mark3labs mark3labs
from GitHub Tools & Productivity
  • 📄 SKILL.md

kit-extensions

Guide for creating Kit extensions. Use when the user asks to build, create, or modify a Kit extension, add a custom tool, slash command, widget, keyboard shortcut, editor interceptor, tool renderer, or hook into any Kit lifecycle event.

0 37 1 month ago · Uploaded Detail →
inhouseseo inhouseseo
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

content-brief

Use when planning a new article. The agent Googles the keyword, reads the top 10 results, classifies intent, maps the content gap, and produces a writer-ready brief with structure, outline, and on-page artifacts. No keyword tool required.

0 32 14 days ago · Uploaded Detail →
bostonaholic bostonaholic
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md

reflect

This skill should be used when someone needs to generate a brag document from GitHub activity, set up reflect for the first time, run reflect to fetch contributions, configure a GitHub token for reflect, filter contributions by organization or repository, choose between OpenAI and Anthropic providers, understand reflect output files, troubleshoot reflect not working, or debug brag doc errors. --- # Reflect Reflect is a CLI tool that fetches GitHub activity -- merged pull requests, closed issues, and PR reviews -- and uses LLM APIs to generate professional brag documents for performance reviews. It connects to the GitHub GraphQL API via Octokit to retrieve contribution data, then optionally passes that data through an LLM provider (OpenAI or Anthropic) to produce summarized and narrative-format documents. All output is written as structured Markdown files suitable for self-assessments, promotion packets, and manager reviews. ## First-Time Setup ### Prerequisites Ensure the following are available before running Reflect

0 36 26 days ago · Uploaded Detail →
ax128 ax128
from GitHub Testing & Security
  • 📁 .github/
  • 📁 aegisgate/
  • 📁 config/
  • 📄 .dockerignore
  • 📄 .gitignore
  • 📄 aegisgate-local.py

AegisGate

> **What is this document?** This is an agent-executable skill document for AegisGate — an open-source LLM security gateway. It walks through installation, startup, token registration, upstream configuration, and client integration on a fresh machine.

0 36 26 days ago · Uploaded Detail →
npstorey npstorey
from GitHub Data & AI
  • 📄 publish.py
  • 📄 SKILL.md

publish-evidence

Publish the current Claude Code analysis to the civicaitools.org evidence registry as a cryptographically signed, timestamped, Rekor-logged evidence package. Invoke when the user has just completed a civic-data analysis (typically using the Socrata and/or Data Commons MCP tools) and says something like "publish this as evidence", "sign this analysis", "publish to civicaitools.org", or "make this a verifiable package.

0 25 7 days ago · Uploaded Detail →
openclix openclix
from GitHub Data & AI
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md

openclix-analytics

Wire OpenClix events to an installed product analytics provider (Firebase, PostHog, Mixpanel, or Amplitude) and produce pre/post campaign impact reports centered on 7-day retention. TRIGGER when the user asks to "connect analytics", "measure campaign impact", "check retention", "tag OpenClix events", or wants to know whether campaigns are working — even if they say "are my notifications helping?" without mentioning analytics. DO NOT trigger for campaign config changes based on metrics — that belongs to openclix-update-campaigns.

0 36 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