Topic: ai-agents
18,135 skills in this topic.
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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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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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brainstorming
Clarify vague requirements through exploratory questioning and option generation before committing to research or implementation.
a5c-ai/babysitter 514
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verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter 514
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template-scaffolding
Template loading, variable filling, and scaffolding for all GSD artifacts. Manages 22+ templates covering every document type in the GSD system, from PROJECT.md to milestone archives.
a5c-ai/babysitter 514
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state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter 514
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ux-design
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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work-unit-decomposition
Decompose implementation plans into discrete work units with enumerated DoD items, file scope declarations, dependency mapping, and human checkpoint flags.
a5c-ai/babysitter 514
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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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smart-routing
Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.
a5c-ai/babysitter 514
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frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
a5c-ai/babysitter 514
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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-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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self-optimization
SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
a5c-ai/babysitter 514
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context-engineering
Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning.
a5c-ai/babysitter 514
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story-development
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
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verification
Verification-before-completion discipline ensuring all success criteria are met, tests pass, and reviews complete before declaring work done.
a5c-ai/babysitter 514
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test-driven-development
Test-first development practice where test specifications are written before production code, integrated into plan tasks as mandatory first sub-steps.
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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systematic-debugging
Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.
a5c-ai/babysitter 514
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security-review
Security vulnerability assessment identifying OWASP risks, injection vectors, authentication issues, and data exposure with severity classification.
a5c-ai/babysitter 514