create-rule
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project…
Use when you want phase research without planning: to investigate before deciding a phase is feasible, or to re-research after a plan already exists. Standalone command; most workflows should use /gsd-plan-phase instead.
Claude Code
$ npx -y skills add coco-research/coco --skill gsd-research-phase --agent claude-code
Codex
$ npx skills add coco-research/coco --skill gsd-research-phase -a codex -y
Cursor
$ npx skills add coco-research/coco --skill gsd-research-phase -a cursor -y
Gemini CLI
$ npx skills add coco-research/coco --skill gsd-research-phase -a gemini-cli -y
GitHub Copilot
$ npx skills add coco-research/coco --skill gsd-research-phase -a github-copilot -y
OpenCode
$ npx skills add coco-research/coco --skill gsd-research-phase -a opencode -y
Windsurf
$ npx skills add coco-research/coco --skill gsd-research-phase -a windsurf -y
name: gsd-research-phase description: "Use when you want phase research without planning: to investigate before deciding a phase is feasible, or to re-research after a plan already exists. Standalone command; most workflows should use /gsd-plan-phase instead." argument-hint: "[phase]" allowed-tools: - Read - Bash - Task
<objective> Research how to implement a phase. Spawns gsd-phase-researcher agent with phase context.
**Note:** This is a standalone research command. For most workflows, use `/gsd-plan-phase` which integrates research automatically.
**Use this command when:**
**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. </objective>
<available_agent_types> Valid GSD subagent types (use exact names — do not fall back to 'general-purpose'):
</available_agent_types>
<context> Phase number: $ARGUMENTS (required)
Normalize phase input in step 1 before any directory lookups. </context>
<process>
INIT=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" init phase-op "$ARGUMENTS")
if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fiExtract from init JSON: `phase_dir`, `phase_number`, `phase_name`, `phase_found`, `commit_docs`, `has_research`, `state_path`, `requirements_path`, `context_path`, `research_path`.
Resolve researcher model:
RESEARCHER_MODEL=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" resolve-model gsd-phase-researcher --raw)
PHASE_INFO=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" roadmap get-phase "${phase_number}")**If `found` is false:** Error and exit. **If `found` is true:** Extract `phase_number`, `phase_name`, `goal` from JSON.
ls .planning/phases/${PHASE}-*/RESEARCH.md 2>/dev/null**If exists:** Offer: 1) Update research, 2) View existing, 3) Skip. Wait for response.
**If doesn't exist:** Continue.
Use paths from INIT (do not inline file contents in orchestrator context):
Present summary with phase description and what files the researcher will load.
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>
<files_to_read>
- {requirements_path} (Requirements)
- {context_path} (Phase context from discuss-phase, if exists)
- {state_path} (Prior project decisions and blockers)
</files_to_read>
<additional_context>
**Phase description:** {phase_description}
</additional_context>
<downstream_consumer>
Your RESEARCH.md will be loaded by `/gsd-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
- `## Common Pitfalls` → Verification steps check for these
- `## Code Examples` → Task actions reference these patterns
Be prescriptive, not exploratory. "Use X" not "Consider X or Y."
</downstream_consumer>
<quality_gate>
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 plan-phase expects
</quality_gate>
<output>
Write to: .planning/phases/${PHASE}-{slug}/${PHASE}-RESEARCH.md
</output>Task(
prompt=filled_prompt,
subagent_type="gsd-phase-researcher",
model="{researcher_model}",
description="Research Phase {phase}"
)**`## RESEARCH COMPLETE`:** Display summary, offer: Plan phase, Dig deeper, Review full, Done.
**`## CHECKPOINT REACHED`:** Present to user, get response, spawn continuation.
**`## RESEARCH INCONCLUSIVE`:** Show what was attempted, offer: Add context, Try different mode, Manual.
<objective>
Continue research for Phase {phase_number}: {phase_name}
</objective>
<prior_state>
<files_to_read>
- .planning/phases/${PHASE}-{slug}/${PHASE}-RESEARCH.md (Existing research)
</files_to_read>
</prior_state>
<checkpoint_response>
**Type:** {checkpoint_type}
**Response:** {user_response}
</checkpoint_response>Task(
prompt=continuation_prompt,
subagent_type="gsd-phase-researcher",
model="{researcher_model}",
description="Continue research Phase {phase}"
)</process>
<success_criteria>
</success_criteria>
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