Total 33,209 skills
Showing 12 of 33209 skills
Build or update a professional-grade design system in Figma from a codebase. Use when the user wants to create variables/tokens, build component libraries, set up theming (light/dark modes), document foundations, or reconcile gaps between code and Figma. This skill teaches WHAT to build and in WHAT ORDER — it complements the `figma-use` skill which teaches HOW to call the Plugin API. Both skills should be loaded together.
Use when a user is trying to discover an installable or reusable skill or workflow, especially when they ask for a skill for a task, want to compare nearby skill categories, or need help narrowing discovery results.
Bridge any AI agent backend to WeChat using the weixin-agent-sdk framework with simple Agent interface, login, and message loop.
Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.
AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.
CLI reference for worker agents — how to claim tasks, log progress, submit for review
Unified decision tree for web research and competitive monitoring. Auto-selects WebFetch, Tavily, or agent-browser based on target site characteristics and available API keys. Includes competitor page tracking, snapshot diffing, and change alerting. Use when researching web content, scraping, extracting raw markdown, capturing documentation, or monitoring competitor changes.
Structured roundtable discussion framework with a truth-seeking moderator who invites representative figures for dialectical debate on any topic. Use when the user says "roundtable discussion", "roundtable", "debate", or wants to explore a topic through multi-perspective structured debate.
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services
Skill for Skyline Worklet Animation System. Use this skill when developing high-performance interactive animations with worklet functions, SharedValue, animation types (timing/spring/decay), Easing functions, combined animations, and thread communication (runOnUI/runOnJS). Suitable for animation scenarios that require direct UI thread response, such as dragging, gesture following, spring rebound, etc. Trigger keywords: worklet, worklet animation, SharedValue, shared variable, timing, spring, decay, Easing, runOnUI, runOnJS, applyAnimatedStyle, interactive animation, gesture animation, UI thread animation.
Use git-agent to commit changes with AI-generated conventional commit messages. Immediately runs git-agent commit when loaded — no setup or configuration questions unless an error occurs.
Code quality and deviation gate between /implement and /test. Reads the task document and changed files, validates coding standards, classifies deviations (minor/medium/major), and decides whether implementation is ready for testing. Runs automatically in the auto-chain between implement and test. Also invoke manually after any implementation to catch issues before wasting a test run.