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Found 888 Skills
Validate Claude Code skills against the agentskills specification. Catches structural, semantic, and naming issues before users do.
Design token management with W3C Design Token Community Group specification, three-tier token hierarchy (global/alias/component), OKLCH color spaces, Style Dictionary transformation, and dark mode theming. Use when creating design token files, implementing theme systems, managing token versioning, or building design-to-code pipelines.
Generate Testing & Quality documentation for SDLC projects. Compliant with BS ISO/IEC/IEEE 29119-3:2013 (supersedes IEEE 829:2008 and BS 7925-2:1998). Covers Software Test Plan, Test Case Specifications (with normative 29119-3 fields), V&V Plan...
CLI tools execution specification (gemini/claude/codex/qwen/opencode) with unified prompt template, mode options, and auto-invoke triggers for code analysis and implementation tasks. Supports configurable CLI endpoints for analysis, write, and review modes.
Work with Vercel Sandbox — ephemeral Linux microVMs for running untrusted code, AI agent output, and developer experimentation on Vercel. Use this skill when the user mentions "Vercel Sandbox", "@vercel/sandbox", sandbox microVMs, running code in isolated environments on Vercel, or wants to create/manage/snapshot sandboxes via the TypeScript/Python SDK or Vercel CLI. Also trigger when the user asks about sandbox pricing, resource limits, authentication (OIDC tokens, access tokens), system specifications, CLI commands (`vercel sandbox`), or wants to update the local documentation cache for this skill.
Generates .NET/C# SDKs from OpenAPI specifications using the AutoSDK CLI tool (autosdk.cli). Use when the user wants to create a C# client library from an OpenAPI/Swagger spec, scaffold a new SDK project, regenerate existing SDK code, or customize generated .NET API clients.
Exclusive skill set for the GoFrame development framework. Provides comprehensive framework usage guidelines for Go language developers, covering best practices for core components such as command-line management, configuration management, logging components, error handling, data validation, type conversion, cache management, template engines, database ORM, and I18n internationalization. Includes project engineering structure specifications, development mode guidelines, common problem solutions, and rich practical code examples. Suitable for building various Go projects such as RESTful APIs, gRPC microservices, web applications, and CLI tools, helping developers quickly master GoFrame framework features, improve development efficiency and code quality.
Material 3 Expressive (M3E). Comprehensive guidance on expressive design system for Flutter with platform support for Android and Linux desktop. Covers color tokens, typography scales, motion specifications, shape tokens, spacing ramps, and component enhancements for creating emotionally engaging UIs. Includes migration guidance from standard M3 and platform-specific integration notes.
Maintain GOALS.yaml fitness specification. Generate new goals from repo state, prune stale goals, update drifted checks. Triggers: "goals", "goal status", "show goals", "generate goals", "add goals", "prune goals", "update goals", "clean goals".
Extract comprehensive, production-ready JSON design specifications from visual inputs using a 7-pass serial architecture with cross-validation. Use when converting screenshots, mockups, or design exports into structured design tokens, component specs, accessibility analysis, and developer handoff artifacts.
Technical Document Knowledge Base (LLM Wiki) for Alibaba Cloud Tongyi Qianfan Platform. Activated when users inquire about Qianfan-related issues such as model lists, API parameters, error codes, application development (Agent/RAG/Knowledge Base/Memory/Plugins), model comparison and pricing, SDK/OpenAI compatible interfaces, multimodal capabilities (speech/image/video), Token billing, etc. It includes structured model market data in models (including contextWindow/QPM/pricing/sample code), wiki synthesis layer (topic pages/concept pages/comparison pages), and raw original document layer; for model specification issues, check models/index.md first, and for document-related issues, check wiki/index.md first.
This skill should be used whenever users need YouTube video scripts written. On first use, collects comprehensive preferences including script type, tone, target audience, style, video length, hook style, use of humor, personality, and storytelling approach. Generates complete, production-ready YouTube scripts tailored to user's specifications for any topic. Maintains database of preferences and past scripts for consistent style.