- 📄 SKILL.md
splunk-viz
Scaffold and build Splunk custom visualizations using Canvas 2D
Scaffold and build Splunk custom visualizations using Canvas 2D
网站和小程序调试的依赖关系排查指南。当调试陷入僵局时,Use this skill to systematically identify which dependency layer is causing the issue: (1) Data dependencies - verify backend before debugging frontend, (2) Environment differences - local vs production issues, (3) Version compatibility - library/framework mismatches, (4) Configuration errors - missing or incorrect configs, (5) State management - component/app state problems, (6) Network layer - CORS, timeouts, connectivity, (7) Permission/authorization - auth and access control, (8) Caching issues - stale code or data, (9) Build process - compilation and bundling problems, (10) Runtime environment - browser/platform differences.
Full-stack AI application generator with Next.js, AI SDK, and ai-elements. Use when creating chatbots, agent dashboards, or custom AI applications.
Interactive browser automation via Chrome DevTools Protocol. Use when you need to interact with web pages, test frontends, or when user interaction with a visible browser is required.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
Use this skill when the user wants to build with the Claude API or Anthropic SDKs.
在使用 MCP 做前端 JavaScript 逆向时使用,适用于签名链路定位、页面观察取证、本地补环境复现、VMP 类插桩分析、AST 去混淆与证据化输出。
Fullstack DDD orchestrator for backend and frontend in sequence
基于任务类型动态调度到合适的智能体角色(架构师、产品经理、测试专家、独立开发者、UI 设计师)。支持多智能体协作、共识机制、完整项目生命周期管理、规范驱动开发、代码走读审查和项目理解能力。支持中英文双语。v2.3 新增多角色代码走读与审查功能。
Scaffold and guide creation of a new pubm plugin package
Control the user's real browser via Real Browser MCP. Use when asked to interact with web pages, test UIs, fill forms, or read page content.
Astro framework specialist for building fast, content-driven websites with islands architecture. Use when creating Astro components, configuring hydration (client:load/idle/visible/media), using server:defer (server islands), Content Layer API (glob/file loaders, live loaders), sessions, astro:env, i18n routing, actions, SSR adapters, view transitions, or integrating React/Vue/Svelte/Solid. Not for full-SPA frameworks (Next.js, Remix, SvelteKit).
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
├─ ⭐ 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
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.
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.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
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.
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.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused 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.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: