refactor(14-02): convert /gsd:research-phase to thin orchestrator
- 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
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@@ -5,79 +5,126 @@ argument-hint: "[phase]"
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allowed-tools:
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- Read
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- Bash
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- Glob
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- Grep
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- Write
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- WebFetch
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- WebSearch
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- mcp__context7__*
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- Task
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---
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<objective>
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Comprehensive research on HOW to implement a phase before planning.
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Research how to implement a phase. Spawns gsd-researcher agent with phase context.
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This is for niche/complex domains where Claude's training data is sparse or outdated. Research discovers:
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- What libraries exist for this problem
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- What architecture patterns experts use
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- What the standard stack looks like
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- What problems people commonly hit
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- What NOT to hand-roll (use existing solutions)
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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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Output: RESEARCH.md with ecosystem knowledge that informs quality planning.
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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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<execution_context>
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@~/.claude/get-shit-done/references/principles.md
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@~/.claude/get-shit-done/workflows/research-phase.md
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@~/.claude/get-shit-done/templates/research.md
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@~/.claude/get-shit-done/references/research-pitfalls.md
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</execution_context>
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<context>
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Phase number: $ARGUMENTS (required)
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**Load project state:**
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@.planning/STATE.md
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**Load roadmap:**
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@.planning/ROADMAP.md
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**Load requirements:**
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@.planning/REQUIREMENTS.md
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Extract phase requirements before research:
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1. Find the phase in ROADMAP.md, get its `Requirements:` list
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2. Look up each REQ-ID in REQUIREMENTS.md for full description
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3. Use concrete requirements to focus research domains
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**Load phase context if exists:**
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Check for `.planning/phases/XX-name/{phase}-CONTEXT.md` - bonus context from discuss-phase.
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Check for existing research:
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```bash
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ls .planning/phases/${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. Validate phase number argument (error if missing or invalid)
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2. Check if phase exists in roadmap - extract phase description
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3. Check if RESEARCH.md already exists (offer to update or use existing)
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4. Load CONTEXT.md if it exists (bonus context for research direction)
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5. Follow research-phase.md workflow:
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- Analyze phase to identify knowledge gaps
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- Determine research domains (architecture, ecosystem, patterns, pitfalls)
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- Execute comprehensive research via Context7, official docs, WebSearch
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- Cross-verify all findings
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- Create RESEARCH.md with actionable ecosystem knowledge
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6. Offer next steps (plan the phase)
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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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- [ ] Domain/ecosystem identified from phase description
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- [ ] Comprehensive research executed (Context7 + official docs + WebSearch)
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- [ ] All WebSearch findings cross-verified with authoritative sources
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- [ ] RESEARCH.md created with ecosystem knowledge
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- [ ] Standard stack/libraries identified
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- [ ] Architecture patterns documented
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- [ ] Common pitfalls catalogued
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- [ ] What NOT to hand-roll is clear
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- [ ] User knows next steps (plan phase)
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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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