design-lab

name	design-lab
description	Use when the user asks for multi-model design, multi-model planning, multi-model review, comparing AI model plans, blind or anonymous review, or current-code review with multiple models

Design Lab

Use this skill in the current agent. Do not ask the user to switch agents.

When To Use

Use Design Lab when the user asks for:

• Multi-model design or planning
• Multi-model review or critique
• Comparing plans or answers from multiple AI models
• Blind or anonymous review of model plans
• Current-code review with multiple models

How To Run

Prefer native OpenCode Task fanout when possible:

• If you are already running as design_lab, do not load this skill again or delegate back to design_lab; run the workflow directly.
• In the current/default agent, do not call task with subagent_type: "design_lab". That hides the model workers one level down.
• Instead, call native task directly for each selected design_lab_model_* agent. Each model worker should appear as a top-level task card in the current OpenCode session.
• The loaded skill owns model selection, output paths, manifests, and synthesis when running from the current/default agent.
• If native Task tool fanout is unavailable, call the design_lab_run tool as a fallback bridge.

Use workflow: "auto" unless the user clearly requested one of these workflows:

• ask: ask every configured model the same prompt
• plan: generate independent model plans
• revise: revise existing model plans
• blind_review: anonymously review existing model plans
• code_review: review current code or current changes

Pass each model worker a complete prompt with the user's request, the workflow, and its exact output_file. Do not ask model workers to call other agents.

Direct Fanout Workflow

Use this path from the normal build or current/default agent:

1. Read .opencode/design-lab.json or .opencode/design-lab.jsonc if present.
2. Select matching design_lab_model_* agents from the native Task tool's available agent list. Use all model agents unless the user selected a subset.
3. Create a run directory under the configured base_output_dir or .design-lab using a short timestamp/topic slug.
4. Write the original prompt to prompt.md and write a manifest.json with selected agent names, output files, skipped agents, and workflow.
5. Call native task once per selected design_lab_model_* agent. Launch all independent model tasks before waiting when possible.
6. Give each worker one exact output file, such as responses/<agent-suffix>.md, plans/<agent-suffix>.md, or reviews/code-review-<agent-suffix>.md.
7. After tasks finish, verify output files exist and have useful content.
8. Write summary.md with consensus, disagreements, recommended answer or findings, and failures.
9. Reply with a concise summary and paths. Do not paste full model responses into chat.

Review Safety

For current-code reviews, reviewer subagents must not modify source code. Present findings first. Only edit source code after the user explicitly asks for fixes.

Fallback

If both native delegation and design_lab_run are unavailable, tell the user to restart OpenCode after installing or rebuilding the Design Lab plugin. If configuration is missing, tell the user to run /design-lab:init.