Daily Featured Skills Count
4,605 4,651 4,689 4,727 4,753 4,784 4,816
04/26 04/27 04/28 04/29 04/30 05/01 05/02
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

timothywarner-org timothywarner-org
from GitHub Content & Multimedia
  • 📄 SKILL.md

ab100-item-creator

Generate AB-100 practice questions that feel like the real exam without copying it. Every item is grounded in current Microsoft Learn content, uses modern Microsoft product names (Microsoft Foundry, Copilot Studio, Microsoft Entra ID), and follows Microsoft-style exam item rules (scenario-first, plausible distractors, no trick wording). Use when the user asks for practice questions, quiz items, or exam prep.

0 17 2 days ago · Uploaded Detail →
WenyuChiou WenyuChiou
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md

gemini-delegate

Use when the task is dominated by large-context reading, synthesis, long-form drafting, bilingual or CJK writing, or second-opinion review rather than bulk code generation. Typical triggers include English or Chinese summaries of large source material, cross-file synthesis, terminology alignment, release-note drafting, and reviewer-style passes over documentation or generated output.

0 34 4 days ago · Uploaded Detail →
raine raine
from GitHub Tools & Productivity
  • 📄 SKILL.md

git-surgeon

Non-interactive hunk-level git staging, unstaging, discarding, undoing, fixup, amend, squash, commit splitting, and commit reordering. Use when selectively staging, unstaging, discarding, reverting, squashing, splitting, or reordering individual diff hunks by ID instead of interactively.

0 58 27 days ago · Uploaded Detail →
mcouthon mcouthon
from GitHub Content & Multimedia
  • 📄 SKILL.md

architecture

Use when documenting architecture, understanding system structure, creating diagrams, or analyzing component relationships. Focuses on interfaces and high-level design. Triggers on: 'use architecture mode', 'architecture', 'system design', 'how is this structured', 'document the system', 'create a diagram', 'high-level overview'. Read-only mode.

0 59 1 month ago · Uploaded Detail →
zxh0916 zxh0916
from GitHub Data & AI
  • 📄 SKILL.md

aht-init

Collect and confirm the minimum required initialization info before starting any AHT run: project path, environment or conda env name, reference training launch script/method, and optimization target. Always send a user-facing confirmation request first, even when the values seem inferable from context, and wait for the user to confirm or update them before continuing.

0 59 1 month ago · Uploaded Detail →
zhangqi444 zhangqi444
from GitHub Ops & Delivery
  • 📄 SKILL.md

open-forge

Self-host any open-source app on the user's own infrastructure (cloud VM, VPS, Raspberry Pi, localhost, k8s, PaaS). Walks the user through provisioning, DNS, TLS, SMTP, and hardening in phased + resumable workflows. ~180 verified recipes plus live-derived fallback for the long tail. Agent-mode rules apply (no chat-paste credentials, no group-channel deploys).

0 24 2 days ago · Uploaded Detail →
The-AI-Alliance The-AI-Alliance
from GitHub Data & AI
  • 📄 SKILL.md

semiont-assess

Add assessment annotations to a Semiont resource — flag scheduling risks, dangers, inaccuracies, logical gaps, or other evaluative concerns using AI-assisted or manual assessment

0 56 22 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