Use when the user asks to "review backlog", "analyze backlog quality", "backlog health", or invokes /compass-rose:backlog. Reads all open and wontfix issue files and analyzes quality via the backlog-analyzer agent.
Use when the user asks to "reprioritize", "update priorities", "scan codebase for relevance", or invokes /compass-rose:reprioritize. Scans codebase against local issue files and updates their priority/status meta tags.
Use when extracting knowledge from .lore/ artifacts into the reference wiki. Converts work artifacts (retros, specs, plans, research, notes) into structured wiki pages grouped by knowledge type. Reads Markdown or HTML sources and writes Markdown by default. Triggers include "ingest this", "extract knowledge from"…
Open and control the current Codex thread goal from any Codex thread. Use when the user asks to open the goal panel, manage goals without the CLI, set/pause/resume/complete/clear a thread goal, or make the local goal web app point at the current thread.
Generate synthetic and simulated datasets for evaluation and fine-tuning using Azure AI Foundry simulators. Create non-adversarial task data, adversarial safety data, and conversation datasets without manual data collection.
Train or fine-tune LLMs on Azure ML managed compute with TRL trainers. Uses direct trainer loops (SFT, DPO, RL) without relying on serverless APIs or Hugging Face infrastructure.
Evaluate generative AI applications and models locally or in the cloud using Azure AI Evaluation SDK. Measure quality, safety, and performance with built-in and custom evaluators.