What problem does it solve?
Detects execution quality problems in MoonMind task runs and generates a single, high-value follow-up task proposal to address the root cause, reducing repeated failures and wasted retries.
Core Features & Use Cases
- Analyze task_context.json and artifacts/logs to identify access/auth failures, conflicting instructions, retry storms, execution loops, duplicate output, missing references, and other degraded behaviors.
- Produce one concise proposal object containing a title, summary, and a valid taskCreateRequest envelope, plus run_quality category, tags, and a signal with severity and evidence.
- Use Case: After a managed run exhibits repeated retries and missing artifacts, append a targeted task to fix the missing references and adjust retry logic to prevent further retries.
Quick Start
Use the fix-proposal skill to analyze the latest task run and append one actionable proposal to the task_proposals.json file.