yeaight7

Address actionable GitHub pull request review feedback. Use when the user wants to inspect unresolved review threads, requested changes, or inline review comments on a PR, then implement selected fixes.

Use when diagnosing agent session history, interrupted tool loops, missing tool results, timing bottlenecks, or subagent trace correlation.

Diagnose local agent and project setup problems — missing commands, broken MCP configs, stale generated assets, bad paths, invalid catalog entries, and missing env vars.

Use when optimizing agent runtime loops, card packs, MCP session lifecycle, tool-call count, or multi-agent orchestration patterns.

Deterministic 3-cycle loop for gathering codebase context before refactoring or maintenance work. Broad search → exact source and tests → config and build setup.

Run large codebase migrations in reviewable local batches with codemods, checkpoints, and verification. Use when a wide refactor is too risky to ship as one monolithic change.

Vendor-neutral routing guide for choosing the right model tier by task type. Mechanical work uses a smaller/faster model; implementation uses a standard model; architecture, security, and release audit use the most capable model.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

Review SQL for business logic correctness, semantic drift, aggregation risk, and silent definition changes.

Use when a CI pipeline fails to extract the actual error from thousands of lines of logs.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

Use at the beginning of a new task. Ensures you fully understand the requirements, boundaries, and acceptance criteria before writing code.