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---
name: trellis-brainstorm
description: "Guides collaborative requirements discovery before implementation. Creates task directory, seeds PRD, asks high-value questions one at a time, researches technical choices, and converges on MVP scope. Use when requirements are unclear, there are multiple valid approaches, or the user describes a new feature or complex task."
---
# Brainstorm - Requirements Discovery (AI Coding Enhanced)
Guide AI through collaborative requirements discovery **before implementation**, optimized for AI coding workflows:
* **Task-first** (capture ideas immediately)
* **Action-before-asking** (reduce low-value questions)
* **Research-first** for technical choices (avoid asking users to invent options)
* **Diverge → Converge** (expand thinking, then lock MVP)
---
## When to Use
Triggered from $start when the user describes a development task, especially when:
* requirements are unclear or evolving
* there are multiple valid implementation paths
* trade-offs matter (UX, reliability, maintainability, cost, performance)
* the user might not know the best options up front
---
## Core Principles (Non-negotiable)
1. **Task-first (capture early)**
Always ensure a task exists at the start so the user's ideas are recorded immediately.
2. **Action before asking**
If you can derive the answer from repo code, docs, configs, conventions, or quick research — do that first.
3. **One question per message**
Never overwhelm the user with a list of questions. Ask one, update PRD, repeat.
4. **Prefer concrete options**
For preference/decision questions, present 23 feasible, specific approaches with trade-offs.
5. **Research-first for technical choices**
If the decision depends on industry conventions / similar tools / established patterns, do research first, then propose options.
6. **Diverge → Converge**
After initial understanding, proactively consider future evolution, related scenarios, and failure/edge cases — then converge to an MVP with explicit out-of-scope.
7. **No meta questions**
Do not ask "should I search?" or "can you paste the code so I can continue?"
If you need information: search/inspect. If blocked: ask the minimal blocking question.
---
## Step 0: Ensure Task Exists (ALWAYS)
Before any Q&A, ensure a task exists. If none exists, create one immediately.
* Use a **temporary working title** derived from the user's message.
* It's OK if the title is imperfect — refine later in PRD.
```bash
TASK_DIR=$(python3 ./.trellis/scripts/task.py create "brainstorm: <short goal>" --slug <auto>)
```
Create/seed `prd.md` immediately with what you know:
```markdown
# brainstorm: <short goal>
## Goal
<one paragraph: what + why>
## What I already know
* <facts from user message>
* <facts discovered from repo/docs>
## Assumptions (temporary)
* <assumptions to validate>
## Open Questions
* <ONLY Blocking / Preference questions; keep list short>
## Requirements (evolving)
* <start with what is known>
## Acceptance Criteria (evolving)
* [ ] <testable criterion>
## Definition of Done (team quality bar)
* Tests added/updated (unit/integration where appropriate)
* Lint / typecheck / CI green
* Docs/notes updated if behavior changes
* Rollout/rollback considered if risky
## Out of Scope (explicit)
* <what we will not do in this task>
## Technical Notes
* <files inspected, constraints, links, references>
* <research notes summary if applicable>
```
---
## Step 1: Auto-Context (DO THIS BEFORE ASKING QUESTIONS)
Before asking questions like "what does the code look like?", gather context yourself:
### Repo inspection checklist
* Identify likely modules/files impacted
* Locate existing patterns (similar features, conventions, error handling style)
* Check configs, scripts, existing command definitions
* Note any constraints (runtime, dependency policy, build tooling)
### Documentation checklist
* Look for existing PRDs/specs/templates
* Look for command usage examples, README, ADRs if any
Write findings into PRD:
* Add to `What I already know`
* Add constraints/links to `Technical Notes`
---
## Step 2: Classify Complexity (still useful, not gating task creation)
| Complexity | Criteria | Action |
| ------------ | ------------------------------------------------------ | ------------------------------------------- |
| **Trivial** | Single-line fix, typo, obvious change | Skip brainstorm, implement directly |
| **Simple** | Clear goal, 12 files, scope well-defined | Ask 1 confirm question, then implement |
| **Moderate** | Multiple files, some ambiguity | Light brainstorm (23 high-value questions) |
| **Complex** | Vague goal, architectural choices, multiple approaches | Full brainstorm |
> Note: Task already exists from Step 0. Classification only affects depth of brainstorming.
---
## Step 3: Question Gate (Ask ONLY high-value questions)
Before asking ANY question, run the following gate:
### Gate A — Can I derive this without the user?
If answer is available via:
* repo inspection (code/config)
* docs/specs/conventions
* quick market/OSS research
**Do not ask.** Fetch it, summarize, update PRD.
### Gate B — Is this a meta/lazy question?
Examples:
* "Should I search?"
* "Can you paste the code so I can proceed?"
* "What does the code look like?" (when repo is available)
**Do not ask.** Take action.
### Gate C — What type of question is it?
* **Blocking**: cannot proceed without user input
* **Preference**: multiple valid choices, depends on product/UX/risk preference
* **Derivable**: should be answered by inspection/research
→ Only ask **Blocking** or **Preference**.
---
## Step 4: Research-first Mode (Mandatory for technical choices)
### Trigger conditions (any → research-first)
* The task involves selecting an approach, library, protocol, framework, template system, plugin mechanism, or CLI UX convention
* The user asks for "best practice", "how others do it", "recommendation"
* The user can't reasonably enumerate options
### Delegate to `trellis-research` sub-agent (don't research inline)
For each research topic, **spawn a `trellis-research` sub-agent via the Task tool** — don't do WebFetch / WebSearch / `gh api` inline in the main conversation.
Why:
- The sub-agent has its own context window → doesn't pollute brainstorm context with raw tool output
- It persists findings to `{TASK_DIR}/research/<topic>.md` (the contract — see `workflow.md` Phase 1.2)
- It returns only `{file path, one-line summary}` to the main agent
- Independent topics can be **parallelized** — spawn multiple sub-agents in one tool call
Agent type: `trellis-research`
Task description template: "Research <specific question>; persist findings to `{TASK_DIR}/research/<topic-slug>.md`."
❌ Bad (what you must NOT do):
```
Main agent: WebFetch(url-A) → WebFetch(url-B) → Bash(gh api ...)
→ WebSearch(q1) → WebSearch(q2) → ... (10+ inline calls)
→ Write(research/topic.md)
```
→ Pollutes main context with raw HTML/JSON, burns tokens.
✅ Good:
```
Main agent: Task(subagent_type="trellis-research",
prompt="Research topic A; persist to research/topic-a.md")
+ Task(subagent_type="trellis-research",
prompt="Research topic B; persist to research/topic-b.md")
+ Task(subagent_type="trellis-research",
prompt="Research topic C; persist to research/topic-c.md")
→ Reads research/topic-{a,b,c}.md after they finish.
```
### Research steps (to pass into each sub-agent prompt)
Each `trellis-research` sub-agent should:
1. Identify 24 comparable tools/patterns for its topic
2. Summarize common conventions and why they exist
3. Map conventions onto our repo constraints
4. Write findings to `{TASK_DIR}/research/<topic>.md`
Main agent then reads the persisted files and produces **23 feasible approaches** in PRD.
### Research output format (PRD)
The PRD itself should only reference the persisted research files, not duplicate their content. Add a `## Research References` section pointing at `research/*.md`.
Optionally, add a convergence section with feasible approaches derived from the research:
```markdown
## Research References
* [`research/<topic-a>.md`](research/<topic-a>.md) — <one-line takeaway>
* [`research/<topic-b>.md`](research/<topic-b>.md) — <one-line takeaway>
## Research Notes
### What similar tools do
* ...
* ...
### Constraints from our repo/project
* ...
### Feasible approaches here
**Approach A: <name>** (Recommended)
* How it works:
* Pros:
* Cons:
**Approach B: <name>**
* How it works:
* Pros:
* Cons:
**Approach C: <name>** (optional)
* ...
```
Then ask **one** preference question:
* "Which approach do you prefer: A / B / C (or other)?"
---
## Step 5: Expansion Sweep (DIVERGE) — Required after initial understanding
After you can summarize the goal, proactively broaden thinking before converging.
### Expansion categories (keep to 12 bullets each)
1. **Future evolution**
* What might this feature become in 13 months?
* What extension points are worth preserving now?
2. **Related scenarios**
* What adjacent commands/flows should remain consistent with this?
* Are there parity expectations (create vs update, import vs export, etc.)?
3. **Failure & edge cases**
* Conflicts, offline/network failure, retries, idempotency, compatibility, rollback
* Input validation, security boundaries, permission checks
### Expansion message template (to user)
```markdown
I understand you want to implement: <current goal>.
Before diving into design, let me quickly diverge to consider three categories (to avoid rework later):
1. Future evolution: <12 bullets>
2. Related scenarios: <12 bullets>
3. Failure/edge cases: <12 bullets>
For this MVP, which would you like to include (or none)?
1. Current requirement only (minimal viable)
2. Add <X> (reserve for future extension)
3. Add <Y> (improve robustness/consistency)
4. Other: describe your preference
```
Then update PRD:
* What's in MVP → `Requirements`
* What's excluded → `Out of Scope`
---
## Step 6: Q&A Loop (CONVERGE)
### Rules
* One question per message
* Prefer multiple-choice when possible
* After each user answer:
* Update PRD immediately
* Move answered items from `Open Questions``Requirements`
* Update `Acceptance Criteria` with testable checkboxes
* Clarify `Out of Scope`
### Question priority (recommended)
1. **MVP scope boundary** (what is included/excluded)
2. **Preference decisions** (after presenting concrete options)
3. **Failure/edge behavior** (only for MVP-critical paths)
4. **Success metrics & Acceptance Criteria** (what proves it works)
### Preferred question format (multiple choice)
```markdown
For <topic>, which approach do you prefer?
1. **Option A** — <what it means + trade-off>
2. **Option B** — <what it means + trade-off>
3. **Option C** — <what it means + trade-off>
4. **Other** — describe your preference
```
---
## Step 7: Propose Approaches + Record Decisions (Complex tasks)
After requirements are clear enough, propose 23 approaches (if not already done via research-first):
```markdown
Based on current information, here are 23 feasible approaches:
**Approach A: <name>** (Recommended)
* How:
* Pros:
* Cons:
**Approach B: <name>**
* How:
* Pros:
* Cons:
Which direction do you prefer?
```
Record the outcome in PRD as an ADR-lite section:
```markdown
## Decision (ADR-lite)
**Context**: Why this decision was needed
**Decision**: Which approach was chosen
**Consequences**: Trade-offs, risks, potential future improvements
```
---
## Step 8: Final Confirmation + Implementation Plan
When open questions are resolved, confirm complete requirements with a structured summary:
### Final confirmation format
```markdown
Here's my understanding of the complete requirements:
**Goal**: <one sentence>
**Requirements**:
* ...
* ...
**Acceptance Criteria**:
* [ ] ...
* [ ] ...
**Definition of Done**:
* ...
**Out of Scope**:
* ...
**Technical Approach**:
<brief summary + key decisions>
**Implementation Plan (small PRs)**:
* PR1: <scaffolding + tests + minimal plumbing>
* PR2: <core behavior>
* PR3: <edge cases + docs + cleanup>
Does this look correct? If yes, I'll proceed with implementation.
```
### Subtask Decomposition (Complex Tasks)
For complex tasks with multiple independent work items, create subtasks:
```bash
# Create child tasks
CHILD1=$(python3 ./.trellis/scripts/task.py create "Child task 1" --slug child1 --parent "$TASK_DIR")
CHILD2=$(python3 ./.trellis/scripts/task.py create "Child task 2" --slug child2 --parent "$TASK_DIR")
# Or link existing tasks
python3 ./.trellis/scripts/task.py add-subtask "$TASK_DIR" "$CHILD_DIR"
```
---
## PRD Target Structure (final)
`prd.md` should converge to:
```markdown
# <Task Title>
## Goal
<why + what>
## Requirements
* ...
## Acceptance Criteria
* [ ] ...
## Definition of Done
* ...
## Technical Approach
<key design + decisions>
## Decision (ADR-lite)
Context / Decision / Consequences
## Out of Scope
* ...
## Technical Notes
<constraints, references, files, research notes>
```
---
## Anti-Patterns (Hard Avoid)
* Asking user for code/context that can be derived from repo
* Asking user to choose an approach before presenting concrete options
* Meta questions about whether to research
* Staying narrowly on the initial request without considering evolution/edges
* Letting brainstorming drift without updating PRD
---
## Integration with Start Workflow
After brainstorm completes (Step 8 confirmation approved), the flow continues to the Task Workflow's **Phase 2: Prepare for Implementation**:
```text
Brainstorm
Step 0: Create task directory + seed PRD
Step 17: Discover requirements, research, converge
Step 8: Final confirmation → user approves
Task Workflow Phase 2 (Prepare for Implementation)
Code-Spec Depth Check (if applicable)
→ Research codebase (based on confirmed PRD)
→ Configure code-spec context (jsonl files)
→ Activate task
Task Workflow Phase 3 (Execute)
Implement → Check → Complete
```
The task directory and PRD already exist from brainstorm, so Phase 1 of the Task Workflow is skipped entirely.
---
## Related Commands
| Command | When to Use |
|---------|-------------|
| `$start` | Entry point that triggers brainstorm |
| `$finish-work` | After implementation is complete |
| `$update-spec` | If new patterns emerge during work |