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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
cclank cclank
from GitHub Content & Multimedia
  • 📁 references/
  • 📁 scripts/
  • 📄 convert_cookies.py
  • 📄 requirements.txt
  • 📄 SKILL.md
seedance 视频 cookies.json

jianying-video-gen

使用剪映(Jianying/小云雀)的 Seedance 2.0 模型自动生成AI视频。支持文生视频(T2V)、图生视频(I2V)、参考视频生成(V2V)和向后延伸(Extend)四种模式。当用户需要生成AI视频、使用Seedance模型创作短片、基于参考图像/视频进行风格转换，或对已有结果继续延长时使用此技能。需要预先配置 cookies.json 登录凭证。

⬇0 ❤241 12 days ago · Uploaded Detail →
ZimoLiao ZimoLiao
from GitHub Data & AI
  • 📄 SKILL.md
arxiv preprints directly

arxiv

Use when the user wants to browse arXiv preprints, search arXiv directly, fetch a PDF by arXiv ID or URL, or send a preprint straight into the ingest pipeline.

⬇0 ❤265 17 days ago · Uploaded Detail →
managedcode managedcode
from GitHub Ops & Delivery
  • 📁 references/
  • 📄 manifest.json
  • 📄 SKILL.md
security devops configuration

dotnet-aspnet-core

Build, debug, modernize, or review ASP.NET Core applications with correct hosting, middleware, security, configuration, logging, and deployment patterns on current .NET.

⬇0 ❤265 18 days ago · Uploaded Detail →
zhouyou-gu zhouyou-gu
from GitHub Tools & Productivity
  • 📁 examples/
  • 📄 README.md
  • 📄 SKILL.md
  • 📄 skill.yaml
automation agent_progress.md agent_harness.md

agent-files

Scaffold AGENT.md, AGENT_GOAL.md, AGENT_HARNESS.md, and AGENT_PROGRESS.md into a target directory with strict, non-overlapping functional boundaries for governance, long-term mission, reusable playbook, and live state. Use when a workspace needs a disciplined, recoverable agent-file contract.

⬇0 ❤5 just now · Uploaded Detail →
giannimassi giannimassi
from GitHub Content & Multimedia
  • 📁 references/
  • 📄 README.md
  • 📄 SKILL.md
user structured approval

webview

Show a native macOS webview UI to the user and get structured input back. Use when an interactive macOS session needs human-in-the-loop for multi-field input, option selection from 5+ choices, approval with context, or content review — NOT for yes/no questions. Handles the full flow — spawning the webview, generating A2UI or HTML content, parsing the user's response. Triggers on "show UI", "ask user", "approval needed with context", "let me pick from these options", "fill in these fields", or any situation where a structured GUI materially beats asking in the terminal. Skip in CI/non-interactive environments.

⬇0 ❤5 just now · Uploaded Detail →
mrmans0n mrmans0n
from GitHub Data & AI
  • 📄 SKILL.md
diff ai-review feedback

browse-diff

Open the ai-review desktop app to visually browse a diff. Use when the user wants to see changes in a visual diff viewer without a review feedback loop — just for viewing.

⬇0 ❤5 just now · Uploaded Detail →
Viniciuscarvalho Viniciuscarvalho
from GitHub Tools & Productivity
  • 📁 .claude/
  • 📁 .github/
  • 📁 assets/
  • 📄 .DS_Store
  • 📄 .env.example
  • 📄 .gitignore
feature workflow automation

feature-marker

End-to-end feature development orchestrator that automates the full lifecycle from requirements to pull request. Generates PRD, Tech Spec, and Task breakdown artifacts, then executes a 4-phase workflow: Analysis → Implementation → Tests → Commit & PR. Supports 5 execution modes: Full Workflow (generate all artifacts + run all phases), Tasks Only (skip generation, use existing files), Ralph Loop (autonomous self-correcting execution), Spec-Driven (multi-agent review with worktree isolation), and Test Only (run tests phase exclusively). Includes checkpoint/resume so work can be paused and resumed at any phase, and auto-detects GitHub, Azure DevOps, or GitLab for PR creation. Platform-agnostic with auto stack detection for iOS/Swift, Node.js/TypeScript, Rust, Python, and Go. ALWAYS use this skill when the user says "implement this feature", "build feature X", "start a new feature", "create a PRD", "generate tech spec", "break down tasks", "feature workflow", "plan this feature", "implement from spec", "run the full workflow", "resume feature", "continue where I left off", asks to go from requirements to implementation, wants to automate feature development end-to-end, mentions PRD-to-PR pipelines, or says "/feature-marker" — even if they just say "I need to build X" without explicitly mentioning a workflow. Also trigger when the user mentions "Ralph Loop", "spec-driven mode", "checkpoint", or asks to generate tasks from a PRD or tech spec.

⬇0 ❤5 4 hours ago · Uploaded Detail →
gemini-cli-extensions gemini-cli-extensions
from GitHub Databases & Storage
  • 📁 scripts/
  • 📄 SKILL.md
database data consumption

oracledb

Use these skills to manage and monitor Oracle databases by executing SQL statements, exploring schema metadata, analyzing query performance, monitoring active sessions and resource consumption, and managing storage and object health.

⬇0 ❤5 8 hours ago · Uploaded Detail →
Har1sh-k Har1sh-k
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 references/
  • 📄 SKILL.md
adapter automation scanner

sastbench-adapter-authoring

Build or update a SASTbench scanner adapter under adapters/. Use when an agent needs to create, repair, or extend an adapter for a scanner, including rule mapping, path normalization, raw-output capture, optional PR-mode support, adapter tests, and harness validation against core benchmark cases.

⬇0 ❤5 12 hours 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