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Found 945 Skills
Creates educational Teams channel posts for internal knowledge sharing about Claude Code features, tools, and best practices. Applies when writing posts, announcements, or documentation to teach colleagues effective Claude Code usage, announce new features, share productivity tips, or document lessons learned. Provides templates, writing guidelines, and structured approaches emphasizing concrete examples, underlying principles, and connections to best practices like context engineering. Activates for content involving Teams posts, channel announcements, feature documentation, or tip sharing.
Generate comprehensive REST API documentation using SpringDoc OpenAPI 3.0 and Swagger UI in Spring Boot 3.x applications. Use when setting up API documentation, configuring Swagger UI, adding OpenAPI annotations, implementing security documentation, or enhancing REST endpoints with examples and schemas.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
Practical application guide for HUMMBL's 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems). Includes when to use each transformation, combination patterns, analysis templates, output formats, real-world examples, and common pitfalls. Essential for applying mental models effectively in problem-solving and analysis.
Share and distribute skill knowledge and documentation. Publishes capabilities with examples, documentation, and integration guides.
This skill should be used when setting up, configuring, or initializing Tailwind CSS (v3 or v4) and shadcn/ui for Next.js 16 App Router projects. Configure dark mode, design tokens, base layout with header/sidebar, accessibility defaults, and generate example components. Includes comprehensive setup automation, theme customization, and production-ready patterns. Use when the user requests "setup Tailwind", "configure shadcn/ui", "add dark mode", "initialize design system", or "setup UI framework" for Next.js projects.
Use when work involves Spec Kit and you need to choose the correct `spec-kit-*` sub-skill, enforce artifact-order gates, or route remediation work (for example sequence violations or specification drift at any stage).
Automatically creates comprehensive pull requests to the dev branch when user indicates their feature/fix is complete and ready for review. Use when user mentions creating PR, submitting for review, or indicates work is done. Examples - "create a PR", "ready for review", "open a pull request", "submit this to dev", "all tests passing, let's get this reviewed".
Use this skill when crafting, reviewing, or improving prompts for LLM pipelines — including task prompts, system prompts, and LLM-as-Judge prompts. Triggers include: requests to write or refine a prompt, diagnose why an LLM produces inconsistent or incorrect outputs, bridge the gap between intent and model behavior, reduce ambiguity in instructions, add few-shot examples, structure complex prompts, or improve output formatting. Also use when the user needs help distinguishing specification failures (unclear instructions) from generalization failures (model limitations), or when iterating on prompts based on observed failure modes. Do NOT use for general coding tasks, document creation, or non-LLM writing.
Arco Design React UI component library reference (@arco-design/web-react). Use this skill whenever the user asks to build a page, create a UI, write frontend code, develop a web application, design a dashboard, or implement any React interface — especially when they mention Arco, arco-design, @arco-design/web-react, or any Arco component name (Button, Table, Form, Modal, Select, Menu, etc.). Covers all 70 components with full API, code examples, import patterns, theming, i18n, layout, forms, tables, modals, navigation, data entry, data display, feedback, responsive design, and best practices.
Distill Opus-level reasoning into optimized instructions for Haiku 4.5 (and Sonnet). Generates explicit, procedural prompts with n-shot examples that maximize smaller model performance on a given task. Use when user says "down-skill", "distill for Haiku", "optimize for Haiku", "make this work on Haiku", "generate Haiku instructions", or needs to delegate a task to a smaller model with high reliability.
Use this skill when crafting LLM prompts, implementing chain-of-thought reasoning, designing few-shot examples, building RAG pipelines, or optimizing prompt performance. Triggers on prompt design, system prompts, few-shot learning, chain-of-thought, prompt chaining, RAG, retrieval-augmented generation, prompt templates, structured output, and any task requiring effective LLM interaction patterns.