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agentic-engineering

Use when designing or decomposing a task for agent execution — applies 15-minute task units, eval-first loops, and explicit input/output contracts so agents work reliably without implicit state

skills/copilot-exclusive/agentic-engineering/SKILL.md

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# Agentic Engineering

Design tasks so AI agents can execute them reliably. This is not about *using* Copilot features — it is about **architecting work** so agents succeed on the first attempt, fail loudly when they can't, and hand off cleanly to the next agent.

## Why This is Copilot-Exclusive

The patterns here are specific to Copilot CLI's agent execution model: `task()` dispatch, `read_agent` / `write_agent` lifecycle, SQL session state, and background agents with `mode: "background"`. They don't map directly to interactive coding sessions in other tools.

## When to Use

- Decomposing a large task before dispatching it to an agent or fleet
- Designing a multi-agent workflow where context must transfer between agents
- Debugging why an agent produced incorrect or incomplete output
- Establishing quality standards for a new agentic workflow