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

Composite Most Downloads Most Likes Most Comments Newest
DGouron DGouron
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation agent ai

agent-creator

Guide for creating optimized Claude Code agents. Use to design a new specialized agent, a swarm sub-agent, or a multi-agent workflow. Follows the Skill → Agent (preloaded skills) → Skill orchestration pattern.

⬇0 ❤35 7 days ago · Uploaded Detail →
amalik amalik
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 build-process.md
  • 📄 quality-optimizer.md
  • 📄 quality-scan-agent-cohesion.md
agent automation edit

bmad-agent-builder

Builds, edit or validate Agent Skill through conversational discovery. Use when the user requests to "Create an Agent", "Optimize an Agent" or "Edit an Agent".

⬇0 ❤36 12 days ago · Uploaded Detail →
10xChengTu 10xChengTu
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
agent ai engineering

harness-engineering

Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases. Triggers on: new/empty project setup for AI agents, AGENTS.md or CLAUDE.md creation, harness engineering questions, making agents work better on a codebase. ALSO triggers when users are frustrated or complaining about agent quality — e.g. 'the agent keeps ignoring conventions', 'it never follows instructions', 'why does it keep doing X', 'the agent is broken' — because poor agent output almost always signals harness gaps, not model problems. Covers: context engineering, architectural constraints, multi-agent coordination, evaluation, long-running agent harness, and diagnosis of agent quality issues.

⬇0 ❤30 8 days ago · Uploaded Detail →
open-deep-crew open-deep-crew
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
agent automation marketplace

agent-creator

创建和修改 Agent 的指南。当用户想要创建新的 Agent 或修改现有 Agent 时使用此 Skill。Agent 是定义 AI 角色、行为准则和工作流程的 Markdown 文件，存放在 marketplace 的 atoms/agents 目录下。

⬇0 ❤26 12 days ago · Uploaded Detail →
hex0xdeadbeef hex0xdeadbeef
from GitHub Tools & Productivity
  • 📄 checklist.md
  • 📄 examples.md
  • 📄 security-checklist.md
code-reviewer automation agent

code-review-rules

Review standards for code-reviewer agent. Auto-loaded via agent frontmatter when code-reviewer runs (Phase 4). Covers: severity classification (BLOCKER/MAJOR/MINOR/NIT), decision matrix (APPROVED/APPROVED_WITH_COMMENTS/CHANGES_REQUESTED), auto-escalation rules, grep search patterns for automated checks.

⬇0 ❤25 12 days ago · Uploaded Detail →
netresearch netresearch
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 evals/
  • 📁 references/
  • 📄 AGENTS.md
  • 📄 checkpoints.yaml
  • 📄 CLAUDE.md
agent documentation automation

agent-rules

Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents.

⬇0 ❤23 12 days ago · Uploaded Detail →
webmaxru webmaxru
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 references/
  • 📄 SKILL.md
agent automation security

agent-package-manager

Installs, configures, audits, and operates Agent Package Manager (APM) in repositories. Use when initializing apm.yml, installing or updating packages, validating manifests, managing lockfiles, compiling agent context, browsing MCP servers, setting up runtimes, or packaging resolved context for CI and team distribution. Don't use for writing a single skill by hand, generic package managers like npm or pip, or non-APM agent configuration systems.

⬇0 ❤23 12 days ago · Uploaded Detail →
Dearest Dearest
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 .gitignore
  • 📄 README.md
  • 📄 README_EN.md
agent design ai

claude-code-methodology

Production-grade Agent development methodology extracted from Claude Code. 7-dimension framework covering tool design, system prompts, permission & safety, multi-agent orchestration, token economy, memory/state, and extensibility. Supports architecture design, implementation guidance, and agent review. Trigger on "Agent design", "build an agent", "AI agent", "tool design", "system prompt architecture", "agent review", "multi-agent", or any agent development concern.

⬇0 ❤18 10 days ago · Uploaded Detail →
SinishaDjukic SinishaDjukic
from GitHub Tools & Productivity
  • 📄 SKILL.md
agent implementer automation

worca-agent-override

Create or update agent prompt overrides for worca pipeline agents. Use when the user wants to customize agent behavior per-project, add project-specific rules, replace agent sections, or modify how planner/coordinator/implementer/tester/guardian agents work. Triggers on "override agent", "customize agent", "agent override", "change implementer rules", etc.

⬇0 ❤18 12 days ago · Uploaded Detail →
oxgeneral oxgeneral
from GitHub Tools & Productivity
  • 📄 SKILL.md
agents agent orchestrator

orch

AI agent orchestrator — manage teams of AI agents that work on your codebase in parallel. Use when the user wants to: run multiple agents, coordinate AI work, deploy agent teams, manage tasks/goals/agents, check orchestrator status, or mentions 'orch', 'orchestry', 'agents team', 'agent orchestration'.

⬇0 ❤15 8 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