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Found 44 Skills
Self-contained parallel generator — invoke directly, do not decompose. Generates 3-10 app variations in parallel for comparing ideas. Use when user says "explore options", "give me variations", "riff on this", "brainstorm approaches", or wants to see multiple interpretations of a concept.
Fix all ESLint and TypeScript errors with parallel processing using snipper agents
Multi-AI Parallel Deep Research. Triggered when users need comprehensive research, in-depth study, multi-party comparison, or comprehensive analysis covering multiple dimensions and sources for a certain topic. Suitable for complex topics (technical selection, competitor analysis, industry trends, controversial topics, etc.), not suitable for simple fact queries. Conduct parallel research through multiple AI services, cross-validate, and output a comprehensive report with citations.
Reviewing one Task's diff on two axes in parallel sub-agents — Spec (does the code do what the spec and the ticket asked?) and Standards (does it follow the repo's conventions, the test rules and the smell baseline?) — and reporting them side by side. The reviewer step of /archie-implement.
Launch both thermo-nuclear review subagents in parallel, then synthesize their findings. Use for thermos, double thermo review, or combined bug/security and code-quality branch audits.
Transcribes video audio using WhisperX, preserving original timestamps. Creates JSON transcript with word-level timing. Use when you need to generate audio transcripts for videos.
Use this skill when working with Mass Entity, MassEntity, Mass AI, MassProcessor, MassFragment, MassTag, MassObserver, MassSpawner, MassCrowd, Mass ECS, entity archetype, ForEachEntityChunk, FMassEntityQuery, FMassEntityManager, ISM crowd, or large-scale entity simulation in Unreal Engine. See references/mass-entity-patterns.md for processor and observer templates. See references/mass-fragment-reference.md for built-in fragment types.
Automatically fix ESLint errors by modifying code to comply with linting rules. For small codebases (≤20 errors), fixes directly. For larger codebases (>20 errors), spawns parallel agents per directory for efficient processing. Never disables rules or adds ignore comments.