autonomous-chain-controller

What problem does it solve?

Users often need to execute complex, multi-step tasks that require several AI skills in sequence, but manually coordinating these skills leads to missed quality checks, retries, and inconsistencies.

Core Features & Use Cases

• Automatic Chain Detection: Analyzes a vague user request (e.g., “build a login page”) and selects the appropriate ordered skill chain such as brainstorming → debate → plan‑and‑execute → TDD → verify.
• Built‑in Quality Gates: Inserts verification steps between every skill to ensure correct output, logged TODOs, no regressions, and proper branch context, with automatic retry logic and escalation to higher‑level handlers.
• Failure Detection & Recovery: Monitors for premature completion, scope creep, and repeated gate failures, then retries, invokes think‑twice, or halts for an autopsy, keeping the workflow reliable.

Quick Start

Ask the autonomous-chain-controller to build a login page feature.