What is the Request-Validate-Resolve pattern?

It is a three-step cycle where a task is requested, its output is verified via a specific command (like a test suite or build script), and any failures are analyzed and fixed before re-validating.

Can I use Closed Loop Design for non-coding tasks?

Yes. While popular for coding, it works for any operation with a measurable success state, such as verifying API response statuses, checking file system changes, or confirming build completions.

How does this skill improve AI agent reliability?

It prevents the AI from assuming a task is finished just because code was written. Instead, it mandates verification, ensuring errors are caught and corrected immediately.

Does the closed-loop-design skill prevent infinite loops?

Yes, the framework includes best practices for bounding retries, typically recommending a maximum of 3-5 attempts to resolve an issue before stopping for human intervention.

Closed Loop Design

Name: Closed Loop Design
Author: melodic-software

bymelodic-software

•

Productividad y Flujo de Trabajo

Implements a Request-Validate-Resolve structure to create reliable, self-correcting agentic workflows.

The Closed Loop Design skill provides a robust framework for building highly reliable AI agent workflows by enforcing a rigorous feedback loop. By utilizing the Request-Validate-Resolve pattern, it ensures that every action taken by the agent is verified against specific success criteria—such as unit tests, build scripts, or linting—and automatically corrected if failure is detected. This skill is essential for developers building autonomous coding agents, automated bug-fix cycles, or any complex pipeline where reliability and self-healing are critical to success.

Características Principales

01Prevents infinite execution with built-in retry logic and bounded attempts

02Automates self-correcting loops for code implementation and refactoring

03Provides structured resolution paths for error analysis and targeted fixing

04Standardizes agentic behavior using the Request-Validate-Resolve pattern

05Defines clear validation mechanisms for tests, builds, and API calls

061 GitHub stars

Casos de Uso

01Designing self-validating code refactoring workflows to ensure zero regressions

02Creating automated test-fix cycles for feature development and bug resolution

03Building reliable build and deployment verification loops for CI/CD automation

Características Principales

01Prevents infinite execution with built-in retry logic and bounded attempts

02Automates self-correcting loops for code implementation and refactoring

03Provides structured resolution paths for error analysis and targeted fixing

04Standardizes agentic behavior using the Request-Validate-Resolve pattern

05Defines clear validation mechanisms for tests, builds, and API calls

061 GitHub stars

Casos de Uso

01Designing self-validating code refactoring workflows to ensure zero regressions

02Creating automated test-fix cycles for feature development and bug resolution

03Building reliable build and deployment verification loops for CI/CD automation