What problem does it solve?
StatsClaw coordinates multiple specialized AI agents to handle statistical package development workflows, but users lack built-in visibility into the current stage, overall progress, or workflow interruptions (such as HOLD, BLOCK, or STOP signals) during execution, leading to confusion about process status and when to intervene.
Core Features & Use Cases
- Multi-workflow support: Tracks progress for all StatsClaw pipeline types including full pipeline, docs-only, simulation, lightweight, and simplified workflows for tasks ranging from small bug fixes to full statistical package releases.
- Standardized status indicators: Uses clear symbols to mark completed, in-progress, pending, paused, and failed steps so users can instantly interpret workflow state at a glance.
- Contextual status display: Explicitly shows active agent tasks and interruption reasons (e.g., waiting for user clarification, validation failures) to eliminate guesswork about workflow blockers.
- Use Case: A researcher running a full statistical package development workflow can instantly see that the planner has completed specs, the builder is currently implementing code, and 3 of 7 total steps are complete, without needing to parse individual agent logs.
Quick Start
Ask the StatsClaw Leader agent to render the workflow progress bar immediately after any status.md update to stay informed of the current development stage.