- Reduce from ~540 lines (command + workflow) to 130 lines - Delegate research methodology to gsd-researcher agent - Keep phase validation, context gathering in orchestrator - Add spawn and continuation patterns for agent
131 lines
3.1 KiB
Markdown
131 lines
3.1 KiB
Markdown
---
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name: gsd:research-phase
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description: Research how to implement a phase before planning
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argument-hint: "[phase]"
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allowed-tools:
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- Read
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- Bash
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- Task
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---
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<objective>
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Research how to implement a phase. Spawns gsd-researcher agent with phase context.
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**Orchestrator role:** Parse phase, validate against roadmap, check existing research, gather context, spawn researcher agent, present results.
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**Why subagent:** Research burns context fast (WebSearch, Context7 queries, source verification). Fresh 200k context for investigation. Main context stays lean for user interaction.
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</objective>
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<context>
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Phase number: $ARGUMENTS (required)
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Check for existing research:
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```bash
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ls .planning/phases/${PHASE}-*/*RESEARCH.md 2>/dev/null
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```
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</context>
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<process>
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## 1. Parse and Validate Phase
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```bash
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grep -A5 "Phase ${PHASE}:" .planning/ROADMAP.md 2>/dev/null
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```
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**If not found:** Error and exit. **If found:** Extract phase number, name, description.
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## 2. Check Existing Research
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```bash
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ls .planning/phases/${PHASE}-*/RESEARCH.md 2>/dev/null
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```
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**If exists:** Offer: 1) Update research, 2) View existing, 3) Skip. Wait for response.
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**If doesn't exist:** Continue.
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## 3. Gather Phase Context
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```bash
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grep -A20 "Phase ${PHASE}:" .planning/ROADMAP.md
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cat .planning/REQUIREMENTS.md 2>/dev/null
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cat .planning/phases/${PHASE}-*/${PHASE}-CONTEXT.md 2>/dev/null
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grep -A30 "### Decisions Made" .planning/STATE.md 2>/dev/null
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```
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Present summary with phase description, requirements, prior decisions.
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## 4. Spawn gsd-researcher Agent
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Research modes: ecosystem (default), feasibility, implementation, comparison.
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```markdown
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<objective>
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Research implementation approach for Phase {phase_number}: {phase_name}
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Mode: ecosystem
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</objective>
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<context>
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**Phase description:** {phase_description}
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**Requirements:** {requirements_list}
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**Prior decisions:** {decisions_if_any}
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**Phase context:** {context_md_content}
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</context>
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<output>
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Write to: .planning/phases/{phase}-{slug}/{phase}-RESEARCH.md
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</output>
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```
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```
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Task(
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prompt=filled_prompt,
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subagent_type="gsd-researcher",
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description="Research Phase {phase}"
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)
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```
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## 5. Handle Agent Return
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**`## RESEARCH COMPLETE`:** Display summary, offer: Plan phase, Dig deeper, Review full, Done.
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**`## CHECKPOINT REACHED`:** Present to user, get response, spawn continuation.
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**`## RESEARCH INCONCLUSIVE`:** Show what was attempted, offer: Add context, Try different mode, Manual.
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## 6. Spawn Continuation Agent
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```markdown
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<objective>
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Continue research for Phase {phase_number}: {phase_name}
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</objective>
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<prior_state>
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Research file: @.planning/phases/{phase}-{slug}/{phase}-RESEARCH.md
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</prior_state>
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<checkpoint_response>
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**Type:** {checkpoint_type}
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**Response:** {user_response}
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</checkpoint_response>
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```
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```
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Task(
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prompt=continuation_prompt,
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subagent_type="gsd-researcher",
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description="Continue research Phase {phase}"
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)
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```
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</process>
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<success_criteria>
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- [ ] Phase validated against roadmap
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- [ ] Existing research checked
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- [ ] gsd-researcher spawned with context
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- [ ] Checkpoints handled correctly
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- [ ] User knows next steps
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</success_criteria>
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