brainstorming-extension
Warmstart extension to superpowers:brainstorming - auto-triggers design review gate after design completion
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Warmstart extension to superpowers:brainstorming - auto-triggers design review gate after design completion
Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validatio...
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures u...
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Automatic review gate that runs after brainstorming completes - spawns PM, Architect, Designer, Security, and CTO agents in parallel, iterates until all approve
Multi-agent orchestration for GitHub Issues using BEADS task tracking
Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof aga...
Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWri...
Generate AI content (images, videos, audio, avatars) and analyze videos with detailed timelines using YAML pipelines with 51 models across 8 categories. Includes video analysis with Gemini 3 Pro.
Use when user asks to convert, compress, trim, resize, extract audio, add subtitles, create GIFs, or process video/audio files
Textum PRD→Scaffold→Story workflow for Codex with low-noise outputs and gate checks.
Textum PRD→Scaffold→Story workflow for Codex with low-noise outputs and gate checks.
Audit websites for SEO, technical, content, and security issues using squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use whe...
Start Expo development server in a tmux session. Use this when user wants to start, restart, or manage the Expo dev server. Triggers on commands like /expo, /expo-dev, /start, or when user mentions starting the...
Common style patterns, layer configurations, and recipes for typical mapping scenarios including restaurant finders, real estate, data visualization, navigation, and more. Use when implementing specific map use...
Expert guidance on validating, optimizing, and ensuring quality of Mapbox styles through validation, accessibility checks, and optimization. Use when preparing styles for production, debugging issues, or ensuri...
Security best practices for Mapbox access tokens, including scope management, URL restrictions, rotation strategies, and protecting sensitive data. Use when creating, managing, or advising on Mapbox token secur...
Official integration patterns for Mapbox GL JS across popular web frameworks. Covers setup, lifecycle management, token handling, search integration, and common pitfalls. Based on Mapbox's create-web-app scaffo...
Expert guidance on map design principles, color theory, visual hierarchy, typography, and cartographic best practices for creating effective and beautiful maps with Mapbox. Use when designing map styles, choosi...
TypeScript conventions and type-safe patterns.
Deno-specific conventions and patterns.
Manage AI notes in ~/Compost/AI-Notes - read existing notes, list recent documents, and write new implementation plans (仕様書, 計画書, 設計書). Auto-triggers when reading from or writing to notes, specificatio...
Automatically save session tips when user provides important feedback or corrections
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.