multi-agent-workflowlisted

# Multi-Agent Workflow Skill This skill validates Copilot CLI's ability to orchestrate multiple sub-agents in parallel and collect their results via file-backed JSON artifacts. ## Execution Plan ### Step 1: Setup Create the output directory: ```bash mkdir -p .rp1/work/agent-output/multi-agent-test ``` ### Step 2: Dispatch Parallel Workers Delegate to three instances of the `parallel-worker` agent in parallel: **Worker 1**: - WORKER_ID: "worker-1" - OUTPUT_DIR: ".rp1/work/agent-output/multi-agent-test" - TASK_DATA: "Analyze module boundaries" **Worker 2**: - WORKER_ID: "worker-2" - OUTPUT_DIR: ".rp1/work/agent-output/multi-agent-test" - TASK_DATA: "Review error handling" **Worker 3**: - WORKER_ID: "worker-3" - OUTPUT_DIR: ".rp1/work/agent-output/multi-agent-test" - TASK_DATA: "Check naming conventions" Use Copilot CLI's agent delegation mechanism (e.g., `create_agent`) to spawn each worker. All three should run concurrently. ### Step 3: Collect Results After all workers complete, read each output file: ```bash cat .rp1/work/agent-output/multi-agent-test/worker-1.json cat .rp1/work/agent-output/multi-agent-test/worker-2.json cat .rp1/work/agent-output/multi-agent-test/worker-3.json ``` ### Step 4: Aggregate and Report Parse each worker's JSON output and produce an aggregated report: ```json { "workflow": "multi-agent-test", "total_workers": 3, "completed_workers": "<count of workers with status=completed>", "results": [ "<worker-1 output>", "<wo