ReddRadar
Topic: babysitter
2,051 skills in this topic.
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swarm-orchestration
Multi-agent swarm formation and coordinated execution with topology-aware agent deployment, consensus protocols, and anti-drift enforcement.
a5c-ai/babysitter 514
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vector-memory
HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.
a5c-ai/babysitter 514
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brainstorming
Use when starting any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
a5c-ai/babysitter 514
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executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.
a5c-ai/babysitter 514
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requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
a5c-ai/babysitter 514
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subagent-driven-development
Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.
a5c-ai/babysitter 514
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systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Requires root cause investigation first.
a5c-ai/babysitter 514
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test-driven-development
Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle.
a5c-ai/babysitter 514
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using-superpowers
Use when starting any conversation. Establishes how to find and use skills, requiring skill invocation before any response.
a5c-ai/babysitter 514
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verification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs. Evidence before assertions.
a5c-ai/babysitter 514
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writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code. Creates bite-sized TDD implementation plans with dependency tracking.
a5c-ai/babysitter 514