a5c-ai/babysitter Skills

Architect code review with DRY, YAGNI, abstraction, and test coverage principle enforcement

# Context Management Project context loading, isolation, and persistent state management across CCPM sessions. ## Capabilities - Load project context from .claude/ directory structure - Maintain persistent context across sessions (PRD, epic, task states) - Isolate agent contexts per work stream -

Capture raw thoughts with automatic domain classification and vault routing

Use when starting any conversation. Establishes how to find and use skills, requiring skill invocation before any response.

Automated Big-O complexity analysis of code and algorithms. Performs static analysis of loop structures, recursive call trees, space complexity estimation, and amortized analysis with detailed derivation documents.

Fetch and parse LeetCode problems with metadata, constraints, examples, hints, difficulty ratings, and related problems. Integrates with LeetCode API for comprehensive problem data retrieval.

Generate comprehensive test cases including edge cases, stress tests, and counter-examples for algorithm correctness verification. Supports random generation, constraint-based generation, and brute force oracle comparison.

HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

Process the Refinery merge queue - collect agent work, detect and resolve conflicts, merge in dependency order, and verify integration.