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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
phuctm97 phuctm97
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 templates/
  • 📄 SKILL.md
automation data browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

⬇0 ❤32 22 days ago · Uploaded Detail →
rowantrollope rowantrollope
from GitHub Databases & Storage
  • 📁 cli/
  • 📁 examples/
  • 📁 mcp_server/
  • 📄 .DS_Store
  • 📄 .gitignore
  • 📄 AGENTS.md
data filesystem database

redis-fs

Redis-FS is a Redis module that provides a complete POSIX-like filesystem as a native data type, plus a FUSE mount that exposes it as a regular local directory. One Redis key holds one filesystem volume — directories, files, symlinks, permissions, and all metadata.

⬇0 ❤33 26 days ago · Uploaded Detail →
darkamenosa darkamenosa
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation group cli

openzca

Use when advanced Zalo workflows need the openzca CLI, especially DB-backed reads and summaries, plus friend ops, group admin, group polls, direct CLI media flows, and profile/account/cache management.

⬇0 ❤33 27 days ago · Uploaded Detail →
lomelic961 lomelic961
Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 _meta.json
  • 📄 SKILL.md
记忆 知识图谱 实体

ontology

用于结构化代理记忆和可组合技能的类型知识图谱。创建/查询实体（Person、Project、Task、Event、Document）、链接（linkin）时可以使用。

⬇0 ❤1 19 days ago · Favorited Detail →
WillNigri WillNigri
from GitHub Ops & Delivery
  • 📁 bin/
  • 📁 src/
  • 📁 test/
  • 📄 SKILL.md
  • 📄 SKILL.md.tmpl
test browser dogfood

browse

Fast headless browser for QA testing and site dogfooding. Navigate any URL, interact with elements, verify page state, diff before/after actions, take annotated screenshots, check responsive layouts, test forms and uploads, handle dialogs, and assert element states. ~100ms per command. Use when you need to test a feature, verify a deployment, dogfood a user flow, or file a bug with evidence. Use when asked to "open in browser", "test the site", "take a screenshot", or "dogfood this".

⬇0 ❤27 10 days ago · Uploaded Detail →
plastic-labs plastic-labs
from GitHub Tools & Productivity
  • 📄 SKILL.md
openclaw honcho setup

honcho-setup

Install the @honcho-ai/openclaw-honcho plugin and run initial setup. Runs `openclaw plugins install`, `openclaw honcho setup` (which prompts for your API key and migrates any legacy memory files to Honcho), and restarts the gateway. **UPLOADS WORKSPACE CONTENT TO EXTERNAL API** via `openclaw honcho setup`: sends USER.md, MEMORY.md, IDENTITY.md, memory/, canvas/, SOUL.md, AGENTS.md, BOOTSTRAP.md, TOOLS.md to api.honcho.dev (managed, default) or your self-hosted HONCHO_BASE_URL. HEARTBEAT.md is excluded. Requires explicit interactive user confirmation before uploading, even when HONCHO_API_KEY is pre-set. No workspace or memory files are deleted, moved, or modified. `openclaw honcho setup` writes plugin configuration to ~/.openclaw/openclaw.json. After setup, the plugin persistently observes conversations and transmits data to Honcho across sessions; disable with `openclaw plugins disable openclaw-honcho`.

⬇0 ❤33 28 days ago · Uploaded Detail →
ZeroxZhang ZeroxZhang
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 references/
  • 📄 README.md
  • 📄 SKILL.md
diagrams automation diagram

diagram-svg-generator

Interactively generates production-ready SVG diagrams including flowcharts, sequence diagrams, mind maps, org charts, timelines, ER diagrams, and state diagrams. Use when the user wants to create, visualize, or export any kind of diagram, flowchart, process map, or visual representation of relationships and workflows. Guides users through selecting diagram size, color scheme, information density, layout direction, and connector style before generating clean, accessible SVG code.

⬇0 ❤33 28 days ago · Uploaded Detail →
devswha devswha
from GitHub Data & AI
  • 📁 artifacts/
  • 📁 core/
  • 📁 custom/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 .patina.default.yaml
architecture humanizer oh-my-zsh

patina

AI가 생성한 텍스트에서 AI 특유의 글쓰기 패턴을 제거하여 자연스럽고 사람이 쓴 것처럼 만듭니다. 다국어 지원(한국어 29개, 영어 29개, 중국어 29개, 일본어 29개 패턴). 2-Phase 처리 파이프라인(구조→문장/어휘)과 플러그인 기반 구조로 패턴 팩과 프로필을 조합합니다. 의미 보존 시스템(MPS) 내장. Based on blader/humanizer, oh-my-zsh inspired plugin architecture.

⬇0 ❤33 28 days ago · Uploaded Detail →
Sitecore Sitecore
from GitHub Content & Multimedia
  • 📄 SKILL.md
data components component

content-sdk-component-data-strategy

Component data for App Router: layout data from getPage (or getPreview/getDesignLibraryData in editing). No getComponentData; pass site and locale from route params. Server Components use the client in server context; Client Components receive serializable props. Use when wiring component data or BYOC.

⬇0 ❤33 28 days ago · Uploaded Detail →
AINYC AINYC
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
ai data automation

canonry

Agent-first AEO (Answer Engine Optimization) operating platform using canonry CLI and aeo-audit tool. Use when: (1) running citation sweeps across AI providers (Gemini, ChatGPT, Claude, Perplexity); (2) auditing technical SEO with structured data validation; (3) implementing schema markup, sitemaps, llms.txt; (4) diagnosing indexing issues via Google Search Console and Bing Webmaster Tools; (5) optimizing content for AI readability and entity consistency. NOT for: general web development, content writing, PPC campaigns, or social media management.

⬇0 ❤33 28 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