What problem does it solve?
Autonomous agent loops frequently fail due to common issues including endless churn without measurable progress, repeated retries for the same root cause, merge queue stalls, and uncontrolled cost drift from unbounded escalation. This Skill provides proven patterns to eliminate these failure modes and keep agent workflows running reliably.
Core Features & Use Cases
- Loop Pattern Selection: Choose the optimal autonomous loop type (sequential, infinite parallel, RFC decomposition, or CI/PR-controlled) based on your specific workflow requirements.
- Production Guardrails: Implement a recommended stack of quality gates, eval harnesses, and session persistence to ensure loop outputs meet acceptance criteria.
- Failure Recovery: Follow standardized recovery steps to resolve common loop failures like churn or merge stalls without full workflow restarts.
- Use Case: A software team building autonomous code generation agents can use this Skill to set up a loop that decomposes RFCs, enforces code quality checks, and automatically recovers from failed generation attempts.
Quick Start
Use the continuous-agent-loop skill to configure a production-ready autonomous agent workflow for your development pipeline with built-in quality checks and automatic failure recovery.
