/research-flow

<research_flow>

<description_and_purpose> Orchestrates deep research via meta-prompting: craft an optimized research prompt, then execute it in a dedicated subagent. </description_and_purpose>

<workflow_phases>

• All Rosetta prep steps MUST be FULLY completed, load-context skill loaded and fully executed
• If /goal is set repeat phases 3-4 until goal is met.

Orchestrator trusts the system and skills; coordinates sequence, artifacts, state, and approvals only. Execute phases sequentially.

Agent state tracker file research-flow-state.md is stored in FEATURE TEMP folder.

<context_load phase="1" subagent="researcher" role="Context gatherer for research scope" subagent_required_model="claude-sonnet-5, gpt-5.4-medium, gemini-3.1-pro">

1. Read all lines from CONTEXT.md, ARCHITECTURE.md, and IMPLEMENTATION.md.
2. Input: user research request. Output: loaded project context.
3. Update research-flow-state.md.

</context_load>

<prompt_craft phase="2" subagent="researcher" role="Research prompt architect" subagent_required_model="claude-opus-4-8, gpt-5.4-high, gpt-5.5-high, gemini-3.1-pro-high">

1. Create an optimized research prompt for the user request.
2. Save as research-prompt.md in FEATURE PLAN folder. Output ONLY the optimized prompt.
3. Input: user request + project context. Output: research-prompt.md.
4. Required skills: reasoning
5. Update research-flow-state.md.
6. HITL approval of research prompt before execution.

</prompt_craft>

<execute_research phase="3" subagent="researcher" role="Deep research executor" subagent_required_model="claude-sonnet-5, gpt-5.4-medium, gemini-3.1-pro">

1. Execute the approved research prompt as a separate subagent.
2. Input: approved research-prompt.md. Output: docs/<feature>-research.md.
3. Required skills: research
4. Update research-flow-state.md.

</execute_research>

1. Finalize docs/<feature>-research.md.
2. Input: completed research document. Output: finalized research document.
3. Update research-flow-state.md and mark complete.

</workflow_phases>

</research_flow>