eval-creator

Ensures alignment between user and Claude during feature/spec planning through a structured interview process.

Pipeline orchestrator that classifies incoming coding tasks and routes them through the correct combination of skills at the right depth.

Captures learnings, errors, corrections, and feature requests to enable continuous improvement.

Revalidate persistent agent knowledge by classifying why it can become stale and how quickly it changes, then retain, revise, externalize, or retire it.

Monitors context window health during large, long-running, multi-session, or explicitly context-sensitive work.

Active runtime recovery for coding agents: when something breaks mid-task, diagnose the root cause, write a fix, VERIFY by re-running the broken thing, then…

[Beta] Cross-session analysis of accumulated .learnings/ files.

[Beta] Retrieves task-relevant prior sessions and returns a short, cited brief of decisions, corrections, failed approaches, and unresolved work.

Frames coding-agent work sessions with explicit intent capture and drift monitoring.

Post-completion self-review for coding agents that runs simplify, harden, re-verification, and micro-documentation passes on non-trivial code or high-impact…

[Beta] CI-only eval regression runner using gh-aw (GitHub Agentic Workflows).

CI-only self-healing workflow using gh-aw (GitHub Agentic Workflows) for active runtime recovery on pull requests and scheduled runs.