Daily Featured Skills Count
5,117 5,165 5,205 5,241 5,288 5,316 5,330
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

vinhnx vinhnx
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md

ast-grep

Use for ast-grep: ast-grep run, sg scan, sg test, sg new, new rule, sgconfig.yml, inline-rules, stdin, json, optional chaining, rule catalog, meta variables, pattern objects, nthChild stopBy, range field, metadata url, caseInsensitive glob, severity off, include metadata, rule order, kind pattern, positive rule, kind esquery, debug-query, static analysis, tree-sitter parser, pattern yaml api, search rewrite lint analyze, textual structural, ast cst, named unnamed, kind field, ambiguous pattern, effective selector, meta variable detection, lazy multi, strictness smart, relaxed signature, string fix, fix config, expandEnd, replace substring, toCase separatedBy, rewriter, rewrite joinBy, find patch, barrel import, ruleDirs testConfigs, libraryPath languageSymbol, dynamic injected, custom language, TREE_SITTER_LIBDIR, language injection, styled components, language alias, languageGlobs, expandoChar, napi parse, python api, programmatic API.

0 561 1 month ago · Uploaded Detail →
ClickHouse ClickHouse
from GitHub Data & AI
  • 📁 rules/
  • 📄 AGENTS.md
  • 📄 metadata.json
  • 📄 README.md

clickhouse-best-practices

MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 28 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.

0 384 1 month ago · Uploaded Detail →
WoJiSama WoJiSama
from GitHub Tools & Productivity
  • 📄 SKILL.md

skill-based-architecture

This skill should be used when the user asks to "organize the project rules", "clean up scattered documentation", "把规则迁移到 skills 目录", "优化 skill 路由", "提高 description 命中率", or "减少薄壳重复维护". Activate when a SKILL.md is too large, rules are duplicated across agent entry files, task routing or trigger_examples miss natural user language, or templates / thin shells / validation scripts need drift-resistant maintenance.

0 198 8 days ago · Uploaded Detail →
frap129 frap129
from GitHub Tools & Productivity
  • 📄 SKILL.md

crafting-rules

Use when creating or modifying OpenCode rules (.md/.mdc files) that customize agent behavior. Trigger when user wants to create a rule, codify repeated instructions, persist guidance across sessions, or scope rules to specific files, prompts, environments, or workflows.

0 57 1 month ago · Uploaded Detail →
falcosecurity falcosecurity
from GitHub Tools & Productivity
  • 📄 SKILL.md

prempti-falco-rules

Author custom Falco rules for Prempti — the policy and visibility layer for AI coding agents. Use this skill whenever the user asks to create, edit, or debug rules that control what coding agents (Claude Code, etc.) can do. Triggers on phrases like "add a rule", "block this tool", "deny access to", "allow writes to", "create a security policy", "custom Falco rule for coding agent", or any request to modify files under rules/user/. This skill covers the coding_agent plugin source and its specific fields — NOT syscall rules.

0 14 8 days ago · Uploaded Detail →
KnowledgeXLab KnowledgeXLab
from GitHub Tools & Productivity
  • 📄 SKILL.md

Conflict Patterns

Identify conflicting rules between two lists of extracted rules. Use this skill when comparing a skill's rules against another skill's rules or against agent config rules (CLAUDE.md, GEMINI.md, etc.).

0 15 1 month ago · Uploaded Detail →
qodo-ai qodo-ai
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md

qodo-get-rules

Loads coding rules from Qodo most relevant to the current coding task by generating a semantic search query from the assignment. Use when Qodo is configured and the user asks to write, edit, refactor, or review code, or when starting implementation planning. Skip if rules are already loaded.

0 13 1 month ago · Uploaded Detail →
kingpanther13 kingpanther13
from GitHub Tools & Productivity
  • 📁 .gemini/
  • 📁 .github/
  • 📁 agent-skill/
  • 📄 .gitattributes
  • 📄 .gitignore
  • 📄 AGENTS.md

hubitat-mcp-server

Guide for developing and maintaining the Hubitat MCP Rule Server — a Groovy-based MCP server running natively on Hubitat Elevation hubs, exposing 90 tools (35 on tools/list via category gateway proxy) for device control, virtual device management, room management, rule automation, hub admin, file management, app/driver management, installed-app visibility, Rule Machine interoperability, native rule CRUD, and Developer Mode self-administration.

0 9 24 days ago · Uploaded Detail →
dsj1984 dsj1984
from GitHub Development & Coding
  • 📄 SKILL.md

api-and-interface-design

Designs stable, well-documented APIs and module interfaces. Use when creating REST/GraphQL endpoints, defining contracts between modules, or changing public interfaces. The wire-format SSOT — response envelope, HTTP status codes, validation taxonomy, payload naming — lives in `.agents/rules/api-conventions.md`; this skill shows authors how to apply it. --- # Skill: api-and-interface-design Process guidance for designing interfaces that are hard to misuse — REST APIs, GraphQL schemas, module boundaries, and component props. The wire-format conventions (envelope shape, status codes, validation taxonomy, payload naming) live in [`.agents/rules/api-conventions.md`](../../../rules/api-conventions.md), which is the SSOT. This skill shows authors **how** to apply those rules; read the rule file for the **what**. Security validation guarantees live in [`security-baseline.md`](../../../rules/security-baseline.md); test-layer scope lives in [`testing-standards.md`](../../../rules/testing-standards.md). ## When to Use - Designing new API endpoints. - Defining module boundaries or contracts between teams. - Creating component prop interfaces. - Establishing database schema that informs API shape. - Changing existing public interfaces. ## 1. Hyrum's Law — Be Intentional About Exposure > With a sufficient number of users of an API, all observable behaviors of > your system will be depended on by somebody, regardless of what you promise > in the contract. Every observable behavior — undocumented quirks, error message text, timing, ordering — becomes a de facto contract once users depend on it. Implications: - **Be intentional about what you expose.** Every observable behavior is a potential commitment. - **Don't leak implementation details.** If users can observe it, they will depend on it. - **Plan for deprecation at design time.** See `deprecation-and-migration` for how to safely remove things users depend on. - **Tests are not enough.** Even with perfect contract tests, "safe"

0 6 1 month 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