Agent Task Template
A reusable AI agent task template with variables for objective, context, available tools, constraints, success criteria, failure handling, and output format.
A reusable bug investigation template with variables for symptom, environment, reproduction steps, expected and actual behavior, error logs, and affected version.
Debugging without structure leads to overlooked causes, wasted time, and incomplete fixes. This template captures everything the AI model needs to reason about a bug: the observed symptom, the environment it appeared in, exact reproduction steps, the divergence between expected and actual behavior, and any relevant error output. The output is an ordered list of likely root causes with diagnostic confirmation steps — not guesses.
Open in Prompt Template Builder
Load the template. Variables auto-detected: symptom, affectedVersion, environment, reproductionSteps, expectedBehavior, actualBehavior, errorMessages, additionalContext.
Fill in what you know
Paste the error message verbatim, describe the environment precisely (OS, browser, server version), and write out the reproduction steps as numbered steps.
Be precise about the divergence
The most important variables are expectedBehavior and actualBehavior — describe them with specific values, not general descriptions like 'it didn't work'.
Run with the filled preview
Paste the filled preview into your AI tool alongside any relevant code snippets. The structured context helps the model reason from evidence rather than speculation.
The {{expectedBehavior}} and {{actualBehavior}} pair: the workflow calls them the most important, since separating them forces an explicit statement of the contract violation, and asks you to fill them with specific values, not "it didn't work". The Prompt Template Builder auto-detects all eight variables; you fill the preview, paste it into your AI tool with any code, and own the diagnosis it returns.
Four numbered outputs: likely root causes ordered by probability with brief reasoning, diagnostic steps to confirm the most likely one, a suggested fix with explanation, and the regression risk. Ordering causes by probability rather than a flat list pushes the model to reason about likelihood. The Prompt Template Builder fills the variables; you run the preview in your own assistant and verify the fix.
A reusable AI agent task template with variables for objective, context, available tools, constraints, success criteria, failure handling, and output format.
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Build reusable prompt templates with {{variable}} placeholders, live preview, and export.