Review custom components and layouts against shadcn design patterns, theme styles (Maia, Vega, Lyra, Nova, Mira), component structure, composability, and Radix UI best practices. Use when planning new components, reviewing existing components, auditing spacing, checking component structure, or verifying shadcn best practices alignment.
This skill should be used when the user asks to "do something simple", "perform basic task", or needs minimal guidance. Demonstrates the simplest possible skill structure.
This skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.
> **Inherits**: All rules from `rules-universal.md`
Generate an llms.txt file for any project or website following the llmstxt.org specification. Use when asked to create llms.txt, generate LLM-friendly documentation, make a project AI-readable, or prepare documentation for language models.
When working with Streamlit web apps, data dashboards, ML/AI app UIs, interactive Python visualizations, or building data science applications with Python
Build multi-agent systems - orchestration, coordination, workflows, and distributed architectures
Guide for adding and managing entries in the personality-assistant-registry. Use when adding MCP servers, skills, bundles, templates, or heartbeat tasks to the registry.
Break down PM story into organized tasks in a single file following LAYERED ARCHITECTURE order: Types → Database → Repository → Service → API → Tests. UNIQUE VALUE: Creates single task file (story-{name}.md) containing all tasks for a story. Tasks are ordered by backend architecture layers. Use this skill when: - Running /backend.tasks command - User asks to "break down story", "create backend tasks", "split into tasks" - Have story at docs/reference/pm/stories/ and need organized task breakdown - Need tasks ordered by backend architecture layers (not random order) - Starting backend work and want organized task list Task order is CRITICAL: Types → Database → Repository → Service → API → Tests Output: Create single file docs/reference/backend/tasks/story-{name}.md with all tasks
Minimal skill
Analyzes proposed projects before implementation, identifies issues and improvement opportunities across 8 dimensions (security, performance, requirements, etc.), presents findings to user for approval, then sends approved changes to Architecture Agent. Use this agent after research stage and before architecture stage for all non-trivial tasks.
Verify and close stories after frontend/backend tasks are completed. Check ALL related task files, update story acceptance criteria checkboxes. UNIQUE VALUE: Ensures BOTH frontend AND backend tasks are verified before closing story. Prevents premature story closure. Use this skill when: - Frontend or backend notifies "task completed, please verify" - User asks to "verify story", "accept story", "close story", "mark story done" - Need to check if a story can be marked as complete - User asks "is story X done?", "can we close story X?" CRITICAL: Must check BOTH frontend tasks (docs/reference/frontend/tasks/) AND backend tasks (docs/reference/backend/tasks/) before closing. Output: Update story file checkboxes from `- [ ]` to `- [x]`
Guidelines for maintaining the kanji index feature. Covers kanji ID assignment, index updates, and troubleshooting.
Foodora-only CLI for checking past orders and active order status (Deliveroo WIP).
Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.
Read-only MacroQuest docs researcher for TLO/datatype/command/plugin questions. Provides Lua-first examples with doc path citations.
Simplify overly complex Python code. Use when user asks to simplify, refactor, clean up, make more readable, reduce complexity, improve code quality, find code smells, detect duplicates, or analyze coupling in Python code. Triggers on requests like "simplify this code", "this is too complex", "make this more readable", "refactor this", "clean this up", "find issues", "analyze this codebase", or when reviewing code that exhibits complexity anti-patterns. For Django-specific analysis, use the django-simplifier skill instead.
Run REDUCE in Docker for this repo (using lunacamp/reduce-algebra), load the vendored ReLie file from resources/relie-src/relie.red, and perform a tiny smoke test. Use when you need the canonical docker run command or a minimal ReLie bootstrap.
Submit a feature suggestion conversationally — Claude gathers details, previews, and creates a GitHub issue via gh CLI.
Build agent(s) in Copilot Studio using the fully API-native build stack with user-guided manual steps for OAuth connections. Reads brief.json for architecture mode (single/multi-agent).