ai-docs/docs/ai/cross-platform.md
2026-02-10 13:55:42 -06:00

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# 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
1. Read [Agents.md](../../Agents.md).
2. Choose a workflow that matches your task.
3. 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:
```text
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
1. Ask for a short plan.
2. Approve or adjust the plan.
3. Ask for targeted changes.
4. 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.