What does this skill do?

The Skill Continuous Agent Loop provides a structured architecture for implementing continuous autonomous agent loops with quality gates, evaluation systems, and fault-tolerance mechanisms. It enables the automation of complex workflows while ensuring the quality of the results, controlling operating costs, and preventing the agent from entering churn loops without measurable progress.

PR and CI Monitoring
Manage integrations and pull requests with a continuous loop of strict CI checks.
RFC Breakdown
It breaks down RFC documents into executable technical tasks using a DAG architecture.
Parallel Exploration
Generate multiple solutions in parallel in an exploratory manner using an infinite loop.
Sequential Loop
Perform iterative tasks with phased validation using the default sequential loop.

Usage examples

🔀 PR Monitoring
Set up a continuous loop to manage this pull request with strict CI controls and quality gates in each iteration.
📄 RFC Breakdown
Break down this RFC document into executable technical tasks using a DAG architecture with session persistence.
🔬 Parallel Exploration
Generate three parallel solutions to this architectural problem on an exploratory basis and evaluate which one is best.
🔁 Sequential pipeline
Implement a sequential loop with automatic progress evaluation and failure thresholds for this deployment pipeline.

Features

Multiple loop architectures It supports sequential loops, continuous PR loops, DAG loops for RFC, and parallel infinite loops, depending on the objective.
Built-in, high-quality doors Validate each iteration of the agent before proceeding to the next phase using configurable quality gates.
Progress Assessment System Measure actual progress using an eval loop to prevent the agent from entering a state of churn without measurable progress.
Session Persistence Saves and restores context between executions or restarts to maintain agent continuity.
Failover Define failure thresholds and strategies to mitigate cost overruns, bottlenecks, and repeated retries.

Frequently asked questions

It supports four architectures: sequential (default), PR continuous (IC control), DAG for RFC decomposition, and parallel infinite loop for exploration.
No. The skill defines architectural patterns and logical flows. For production, it is recommended to combine it with tools such as ralphinho-rfc-pipeline, plankton-code-quality, eval-harness, and nanoclaw-repl.
The system includes an evaluation loop that measures actual progress in each cycle. If there is no measurable progress, the agent automatically stops and provides a clear audit status.
Yes. The skill includes a recommended production stack that combines RFC decomposition, quality gates, an evaluation loop, and session persistence to create a robust pipeline.

Related skills

More skills in the same category:

Continuous Agent Loop — Autonomous Agents with Quality Gates Using Claude AI

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