| name | kata-research-phase |
| description | Research how to implement a phase standalone, investigating implementation approaches before planning, or re-researching after planning is complete. Triggers include "research phase", "investigate phase", "how to implement", "research implementation", and "phase research". |
| metadata | {"version":"0.1.0"} |
| allowed-tools | Read Write Bash |
Research how to implement a phase. Spawns kata-phase-researcher agent with phase context.
Note: This is a standalone research command. For most workflows, use /kata-plan-phase which integrates research automatically.
Use this command when:
- You want to research without planning yet
- You want to re-research after planning is complete
- You need to investigate before deciding if a phase is feasible
Orchestrator role: Parse phase, validate against roadmap, check existing research, gather context, spawn researcher agent, present results.
Why subagent: Research burns context fast (WebSearch, Context7 queries, source verification). Fresh 200k context for investigation. Main context stays lean for user interaction.
Phase number: $ARGUMENTS (required)
Normalize phase input in step 1 before any directory lookups.
0. Resolve Model Profile
Read model profile for agent spawning:
MODEL_PROFILE=$(cat .planning/config.json 2>/dev/null | grep -o '"model_profile"[[:space:]]*:[[:space:]]*"[^"]*"' | grep -o '"[^"]*"$' | tr -d '"' || echo "balanced")
Default to "balanced" if not set.
Model lookup table:
| Agent | quality | balanced | budget |
|---|
| kata-phase-researcher | opus | sonnet | haiku |
Store resolved model for use in Task calls below.
1. Normalize and Validate Phase
if [[ "$ARGUMENTS" =~ ^[0-9]+$ ]]; then
PHASE=$(printf "%02d" "$ARGUMENTS")
elif [[ "$ARGUMENTS" =~ ^([0-9]+)\.([0-9]+)$ ]]; then
PHASE=$(printf "%02d.%s" "${BASH_REMATCH[1]}" "${BASH_REMATCH[2]}")
else
PHASE="$ARGUMENTS"
fi
grep -A5 "Phase ${PHASE}:" .planning/ROADMAP.md 2>/dev/null
If not found: Error and exit. If found: Extract phase number, name, description.
2. Find Phase Directory and Check Existing Research
PADDED=$(printf "%02d" "$PHASE" 2>/dev/null || echo "$PHASE")
PHASE_DIR=""
for state in active pending completed; do
PHASE_DIR=$(find .planning/phases/${state} -maxdepth 1 -type d -name "${PADDED}-*" 2>/dev/null | head -1)
[ -z "$PHASE_DIR" ] && PHASE_DIR=$(find .planning/phases/${state} -maxdepth 1 -type d -name "${PHASE}-*" 2>/dev/null | head -1)
[ -n "$PHASE_DIR" ] && break
done
if [ -z "$PHASE_DIR" ]; then
PHASE_DIR=$(find .planning/phases -maxdepth 1 -type d -name "${PADDED}-*" 2>/dev/null | head -1)
[ -z "$PHASE_DIR" ] && PHASE_DIR=$(find .planning/phases -maxdepth 1 -type d -name "${PHASE}-*" 2>/dev/null | head -1)
fi
ls ${PHASE_DIR}/RESEARCH.md 2>/dev/null
If exists: Offer: 1) Update research, 2) View existing, 3) Skip. Wait for response.
If doesn't exist: Continue.
3. Gather Phase Context
grep -A20 "Phase ${PHASE}:" .planning/ROADMAP.md
cat .planning/REQUIREMENTS.md 2>/dev/null
cat ${PHASE_DIR}/${PHASE}-CONTEXT.md 2>/dev/null
grep -A30 "### Decisions Made" .planning/STATE.md 2>/dev/null
Present summary with phase description, requirements, prior decisions.
3.5. Load Phase-Researcher Instructions
Read the phase-researcher agent instructions for inlining into Task() calls:
phase_researcher_instructions_content=$(cat references/phase-researcher-instructions.md)
4. Spawn kata-phase-researcher Agent
Research modes: ecosystem (default), feasibility, implementation, comparison.
<research_type>
Phase Research — investigating HOW to implement a specific phase well.
</research_type>
<key_insight>
The question is NOT "which library should I use?"
The question is: "What do I not know that I don't know?"
For this phase, discover:
- What's the established architecture pattern?
- What libraries form the standard stack?
- What problems do people commonly hit?
- What's SOTA vs what Claude's training thinks is SOTA?
- What should NOT be hand-rolled?
</key_insight>
<objective>
Research implementation approach for Phase {phase_number}: {phase_name}
Mode: ecosystem
</objective>
<context>
**Phase description:** {phase_description}
**Requirements:** {requirements_list}
**Prior decisions:** {decisions_if_any}
**Phase context:** {context_md_content}
</context>
<downstream_consumer>
Your RESEARCH.md will be loaded by `/kata-plan-phase` which uses specific sections:
- `## Standard Stack` → Plans use these libraries
- `## Architecture Patterns` → Task structure follows these
- `## Don't Hand-Roll` → Tasks NEVER build custom solutions for listed problems
- → Verification steps check for these
→ Task actions reference these patterns
Be prescriptive, not exploratory. "Use X" not "Consider X or Y."
Before declaring complete, verify:
[ ] All domains investigated (not just some)
[ ] Negative claims verified with official docs
[ ] Multiple sources for critical claims
[ ] Confidence levels assigned honestly
[ ] Section names match what phase-plan expects
Write to: ${PHASE
Task(
prompt="<agent-instructions>\n{phase_researcher_instructions_content}\n</agent-instructions>\n\n" + filled_prompt,
subagent_type="general-purpose",
model="{researcher_model}",
description="Research Phase {phase}"
)
5. Handle Agent Return
## RESEARCH COMPLETE: Display summary, offer: Plan phase, Dig deeper, Review full, Done.
## CHECKPOINT REACHED: Present to user, get response, spawn continuation.
## RESEARCH INCONCLUSIVE: Show what was attempted, offer: Add context, Try different mode, Manual.
6. Spawn Continuation Agent
<objective>
Continue research for Phase {phase_number}: {phase_name}
</objective>
<prior_state>
Research file: @${PHASE_DIR}/${PHASE}-RESEARCH.md
</prior_state>
<checkpoint_response>
**Type:** {checkpoint_type}
**Response:** {user_response}
</checkpoint_response>
Task(
prompt="<agent-instructions>\n{phase_researcher_instructions_content}\n</agent-instructions>\n\n" + continuation_prompt,
subagent_type="general-purpose",
model="{researcher_model}",
description="Continue research Phase {phase}"
)
<success_criteria>
