lee-to/ai-factory

lee-to/ai-factory

Agent

Read-only background best-practices sidecar for the current implementation scope. Use from implement-coordinator after code changes when a concise maintainability review is needed.

lee-to/ai-factory

Agent

Read-only background commit preparation sidecar for the current implementation scope. Use from implement-coordinator when deciding whether a final /aif-commit step can be streamlined.

lee-to/ai-factory

Agent

Read-only background documentation drift sidecar for the current implementation scope. Use from implement-coordinator after code changes when deciding whether /aif-docs should run automatically.

lee-to/ai-factory

Agent

Coordinate parallel execution of independent plan tasks. For single tasks — implements directly with quality sidecars. For parallel tasks — dispatches implement-worker workers. Use via claude --agent implement-coordinator.

lee-to/ai-factory

Agent

Execute a single plan task in an isolated worktree — implement, verify, and return. Spawned by implement-coordinator for parallel task execution. Cannot spawn child agents — runs quality checks locally.

lee-to/ai-factory

Agent

Convert failed evaluation rules into precise, minimal fix instructions for the refiner. Use proactively within /aif-loop when evaluation fails.

lee-to/ai-factory

Agent

Evaluate artifact strictly against active loop criteria and return structured pass/fail output. Use proactively within /aif-loop when an objective verdict is needed.

lee-to/ai-factory

Agent

Prepare invariant and consistency checks for the current loop iteration. Use proactively within /aif-loop in parallel with producer.

lee-to/ai-factory

Agent

Route reflex-loop execution to the next role based on run state, stop guards, and last evaluation. Use proactively within /aif-loop when deciding the next step.

lee-to/ai-factory

Agent

Prepare lightweight performance checks (RPS/latency budget assertions) for the current loop iteration. Use proactively within /aif-loop in parallel with producer.

lee-to/ai-factory

Agent

Build a short, execution-focused iteration plan (3-5 steps) aligned to active rules. Use proactively within /aif-loop when the next iteration plan is needed.

lee-to/ai-factory

Agent

Produce the single markdown artifact for the current loop iteration from task and plan. Use proactively within /aif-loop when artifact generation is needed.

lee-to/ai-factory

Agent

Apply critique issues to produce a minimally changed improved artifact. Use proactively within /aif-loop when refinement is needed after failed evaluation.

lee-to/ai-factory

Agent

Prepare lightweight test checks for the current loop iteration without blocking execution. Use proactively within /aif-loop in parallel with producer.

lee-to/ai-factory

Agent

Iteratively polish a plan by launching plan-polisher in a loop until critique passes or max iterations reached. Use via claude --agent plan-coordinator.

lee-to/ai-factory

Agent

Create or refresh an /aif-plan plan, critique it, and run one refinement round at most. The caller launches another plan-polisher for further iterations if needed.

lee-to/ai-factory

Agent

Read-only background code review sidecar for the current implementation scope. Use from implement-coordinator after code changes when a concise bug-risk review is needed.

lee-to/ai-factory

Agent

Read-only background rules compliance sidecar for the current implementation scope. Use from implement-coordinator after code changes when a concise rules check is needed.

lee-to/ai-factory

Agent

Read-only background security audit sidecar for the current implementation scope. Use from implement-coordinator after code changes when a concise security check is needed.