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3,626 3,840 3,909 3,920 3,927 3,966 4,007
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Import Skills

marcellourbani marcellourbani
from GitHub Development & Coding
  • 📄 SKILL.md

abap-code-writing

Structured process for building ABAP solutions. Use BEFORE writing any ABAP code — reports, classes, function modules, enhancements, or full processes. Guides through requirement validation, system exploration, architecture planning, research of existing objects, and detailed design before any code is written.

0 259 9 days ago · Uploaded Detail →
haoyu-haoyu haoyu-haoyu
from GitHub Development & Coding
  • 📁 scripts/
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md

collaborating-with-codex

Delegates coding tasks to Codex CLI for prototyping, debugging, and code review. Use when needing algorithm implementation, bug analysis, or code quality feedback. Supports multi-turn sessions via SESSION_ID.

0 257 10 days ago · Uploaded Detail →
swarmclawai swarmclawai
from GitHub Tools & Productivity
  • 📄 SKILL.md

coding-agent

Delegate coding tasks to external coding agents (Claude Code, Codex, Pi, OpenCode) via shell. Use when: (1) building new features or apps in a separate project, (2) reviewing PRs, (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit directly), reading code (use read/file tools), or work inside the SwarmClaw workspace itself.

0 234 12 days ago · Uploaded Detail →
nicobailon nicobailon
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md

design-deck

Present visual options for architecture, UI, and code decisions with high-fidelity side-by-side previews. For comparing approaches visually — code diffs, diagrams, UI mockups, images — not for gathering structured input (use interview for that). Supports previewBlocks (code, mermaid, image, html), previewHtml, generate-more loops, and plan/PRD-driven flows.

0 165 6 days ago · Uploaded Detail →
kylesnowschwartz kylesnowschwartz
from GitHub Data & AI
  • 📄 SKILL.md

sc-refactor-review

This skill SHOULD be used when the user asks to "review code", "find dead code", "check for duplication", "simplify the codebase", "find refactoring opportunities", "do code cleanup", "check naming consistency", "analyze test organization", "run codebase health check", "review my PR", "refactor this code", "extract method", "rename variable", "consolidate duplicates", "adversarial review", "red team review", "find ways to break this", "multi-model review", "get multiple AI opinions on this code", "hunt bugs", "find bugs", "bug hunt", or "adversarial bug hunt". Routes to specialized analysis agents, refactoring workflow, multi-model adversarial review, or adversarial bug hunt based on the type of request.

0 95 10 days ago · Uploaded Detail →
opensage-agent opensage-agent
from GitHub Data & AI
  • 📁 common_utils/
  • 📁 find-testcases-covering-function/
  • 📁 run-coverage/
  • 📄 SKILL.md

coverage

Code coverage analysis tools. These tools help analyze and visualize code coverage for test execution, upload coverage data to Neo4j, and display coverage statistics. Available tools: run-coverage, show-coverage.

0 63 6 days ago · Uploaded Detail →
Weaverse Weaverse
from GitHub Development & Coding
  • 📄 SKILL.md

code-review

Perform thorough code reviews focusing on unused code, duplications, coding patterns, bugs, and optimizations. Use when user wants code reviewed or audited. Read-only - outputs findings without making changes.

0 77 10 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