learning-aggregator-ci

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.

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

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

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

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…

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

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

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

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 learning aggregation workflow using gh-aw (GitHub Agentic Workflows).

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