1.5 KiB
1.5 KiB
Cross-Platform AI Usage
Agents.md
What It Is
Agents define a structured workflow so tasks are broken into clear steps, with explicit inputs and outputs.
How to Use It
- Read Agents.md.
- Choose a workflow that matches your task.
- Provide the inputs in a short, bounded request.
When to Use Agents vs Chat
- Use agents for multi-step tasks like refactors, doc audits, or migrations.
- Use chat for quick questions or one-off explanations.
Request Template
Use this structure to get consistent results:
Goal: <one sentence>
Inputs: <files, constraints, context>
Output: <expected deliverable>
Verification: <tests or checks>
Prompting Patterns
- Refactors: "Refactor this file to improve readability without changing behavior."
- Tests: "Add unit tests for this service. Keep the existing public API."
- Debugging: "Explain this error and list likely fixes in order."
- Understanding code: "Summarize what this module does and call out risks."
Plan-First Workflow
- Ask for a short plan.
- Approve or adjust the plan.
- Ask for targeted changes.
- Verify with tests or review.
Connecting Skills
- Use skills for tasks with known workflows.
- Combine multiple skills when a task spans domains.
- Pass concise context between steps to reduce repetition.
Efficiency Tips
- Keep prompts small and scoped.
- Reuse context from earlier steps instead of repeating it.
- Ask for summaries before asking for edits.