Workflow Test Fix Cycle

The workflow-test-fix-cycle skill automates a continuous improvement loop for AI agents. It systematically executes tasks, validates outputs against defined criteria, and automatically triggers corrections when errors are detected. This creates an autonomous cycle where the agent learns from its own failures without manual intervention.

When to use it

• Automating repetitive coding tasks where immediate bug detection is critical.
• Running validation pipelines for data processing scripts that require high accuracy.
• Testing complex workflows where a single failure should trigger an immediate retry or fix.
• Iteratively refining agent behavior by allowing self-correction after initial execution attempts.

Key capabilities

• Executes defined workflow steps autonomously.
• Performs automated testing and validation of outputs.
• Detects failures and triggers automatic fix cycles.
• Loops until success criteria are met or a maximum retry limit is reached.

Example prompts

• "Run the data cleaning script, test the output for null values, and automatically fix any rows that fail validation."
• "Execute the deployment workflow, verify the build status, and trigger a rollback if the tests fail."
• "Generate a unit test suite, run it against the codebase, and automatically patch any failing tests."

Tips & gotchas

Ensure your success criteria are clearly defined so the agent knows exactly when to stop the cycle. Monitor resource usage closely, as infinite retry loops can occur if the underlying issue isn't solvable by the fix mechanism.