Topic: ai-agents
18,135 skills in this topic.
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pr-shepherding
Monitor PR lifecycle from creation through merge including CI monitoring, review comment handling, thread resolution, and merge readiness verification.
a5c-ai/babysitter 514
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plan-writing
Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.
a5c-ai/babysitter 514
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plan-review-gate
Adversarial plan review by 3 independent reviewers (Feasibility, Completeness, Scope & Alignment) before presenting to user.
a5c-ai/babysitter 514
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plan-implementation
Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.
a5c-ai/babysitter 514
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finishing-work
Final completion discipline including summary generation, plan document updates, and confirmation that all success criteria from the original plan are satisfied.
a5c-ai/babysitter 514
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decision-documentation
Create Architecture Decision Records (ADRs) documenting significant technical choices with context, options, consequences, and sequential numbering.
a5c-ai/babysitter 514
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codebase-research
Systematic codebase exploration following the Iron Law - understand the problem before exploring code. Four phases with file-finder and web-researcher agents.
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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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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product-brief-creation
a5c-ai/babysitter 514
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prd-creation
a5c-ai/babysitter 514
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code-review
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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architecture-design
a5c-ai/babysitter 514
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orchestrated-execution
Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.
a5c-ai/babysitter 514
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knowledge-curation
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
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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code-review
Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.
a5c-ai/babysitter 514
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external-tool-coordination
Coordinate external AI tool integration (OpenAI Codex, Google Gemini) for cross-model adversarial review and delegated implementation.
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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brainstorming
Clarify vague requirements through exploratory questioning and option generation before committing to research or implementation.
a5c-ai/babysitter 514
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design-review-gate
Parallel design review by 6 specialist agents (PM, Architect, Designer, Security Design, UX, CTO) with mandatory unanimous approval.
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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adversarial-review
Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.
a5c-ai/babysitter 514