Brainstorming Ideas Into Designs
Transform rough ideas into fully-formed designs through intelligent agent selection and structured exploration.
Core principle: Analyze the topic, select relevant agents dynamically, explore alternatives in parallel, present design incrementally.
STEP 0: Verify User Intent with AskUserQuestion
BEFORE creating tasks, clarify brainstorming constraints:
python
AskUserQuestion(
questions=[
{
"question": "What type of design exploration?",
"header": "Type",
"options": [
{"label": "Open exploration (Recommended)", "description": "Generate 10+ ideas, evaluate all, synthesize top 3"},
{"label": "Constrained design", "description": "I have specific requirements to work within"},
{"label": "Comparison", "description": "Compare 2-3 specific approaches I have in mind"},
{"label": "Quick ideation", "description": "Generate ideas fast, skip deep evaluation"}
],
"multiSelect": false
},
{
"question": "Any preferences or constraints?",
"header": "Constraints",
"options": [
{"label": "None", "description": "Explore all possibilities"},
{"label": "Use existing patterns", "description": "Prefer patterns already in codebase"},
{"label": "Minimize complexity", "description": "Favor simpler solutions"},
{"label": "I'll specify", "description": "Let me provide specific constraints"}
],
"multiSelect": false
}
]
)
Based on answers, adjust workflow:
- Open exploration: Full 7-phase process with all agents
- Constrained design: Skip divergent phase, focus on feasibility
- Comparison: Skip ideation, jump to evaluation phase
- Quick ideation: Generate ideas, skip deep evaluation
STEP 0b: Select Orchestration Mode
Choose Agent Teams (mesh — agents debate and challenge ideas) or Task tool (star — all report to lead):
ORCHESTKIT_PREFER_TEAMS=1
→ Agent Teams mode
- Agent Teams unavailable → Task tool mode (default)
- Otherwise: Open exploration with 3+ agents → recommend Agent Teams (real-time debate produces better ideas); Quick ideation → Task tool
| Aspect | Task Tool | Agent Teams |
|---|
| Idea generation | Each agent generates independently | Agents riff on each other's ideas |
| Devil's advocate | Lead challenges after all complete | Agents challenge each other in real-time |
| Cost | ~150K tokens | ~400K tokens |
| Best for | Quick ideation, constrained design | Open exploration, deep evaluation |
Fallback: If Agent Teams encounters issues, fall back to Task tool for remaining phases.
CRITICAL: Task Management is MANDATORY (CC 2.1.16)
python
# Create main task IMMEDIATELY
TaskCreate(
subject="Brainstorm: {topic}",
description="Design exploration with parallel agent research",
activeForm="Brainstorming {topic}"
)
# Create subtasks for each phase
TaskCreate(subject="Analyze topic and select agents", activeForm="Analyzing topic")
TaskCreate(subject="Search memory for past decisions", activeForm="Searching knowledge graph")
TaskCreate(subject="Generate divergent ideas (10+)", activeForm="Generating ideas")
TaskCreate(subject="Feasibility fast-check", activeForm="Checking feasibility")
TaskCreate(subject="Evaluate with devil's advocate", activeForm="Evaluating ideas")
TaskCreate(subject="Synthesize top approaches", activeForm="Synthesizing approaches")
TaskCreate(subject="Present design options", activeForm="Presenting options")
The Seven-Phase Process
| Phase | Activities | Output |
|---|
| 0. Topic Analysis | Classify keywords, select 3-5 agents | Agent list |
| 1. Memory + Context | Search graph, check codebase | Prior patterns |
| 2. Divergent Exploration | Generate 10+ ideas WITHOUT filtering | Idea pool |
| 3. Feasibility Fast-Check | 30-second viability per idea | Filtered ideas |
| 4. Evaluation & Rating | Rate 0-10, devil's advocate challenge | Ranked ideas |
| 5. Synthesis | Filter to top 2-3, trade-off table | Options |
| 6. Design Presentation | Present in 200-300 word sections | Validated design |
See
references/phase-workflow.md
for detailed instructions.
When NOT to Use
Skip brainstorming when:
- Requirements are crystal clear and specific
- Only one obvious approach exists
- User has already designed the solution
- Time-sensitive bug fix or urgent issue
Quick Reference: Agent Selection
| Topic Example | Agents to Spawn |
|---|
| "brainstorm API for users" | workflow-architect, backend-system-architect, security-auditor |
| "brainstorm dashboard UI" | workflow-architect, frontend-ui-developer, ux-researcher |
| "brainstorm RAG pipeline" | workflow-architect, llm-integrator, data-pipeline-engineer |
| "brainstorm caching strategy" | workflow-architect, backend-system-architect, performance-engineer |
Always include: for system design perspective.
Agent Teams Alternative: Brainstorming Team
In Agent Teams mode, form a brainstorming team where agents debate ideas in real-time. Dynamically select teammates based on topic analysis (Phase 0):
python
TeamCreate(team_name="brainstorm-{topic-slug}", description="Brainstorm {topic}")
# Always include the system design lead
Task(subagent_type="workflow-architect", name="system-designer",
team_name="brainstorm-{topic-slug}",
prompt="""You are the system design lead for brainstorming: {topic}
DIVERGENT MODE: Generate 3-4 architectural approaches.
When other teammates share ideas, build on them or propose alternatives.
Challenge ideas that seem over-engineered — advocate for simplicity.
After divergent phase, help synthesize the top approaches.""")
# Domain-specific teammates (select 2-3 based on topic keywords)
Task(subagent_type="backend-system-architect", name="backend-thinker",
team_name="brainstorm-{topic-slug}",
prompt="""Brainstorm backend approaches for: {topic}
DIVERGENT MODE: Generate 3-4 backend-specific ideas.
When system-designer shares architectural ideas, propose concrete API designs.
Challenge ideas from other teammates with implementation reality checks.
Play devil's advocate on complexity vs simplicity trade-offs.""")
Task(subagent_type="frontend-ui-developer", name="frontend-thinker",
team_name="brainstorm-{topic-slug}",
prompt="""Brainstorm frontend approaches for: {topic}
DIVERGENT MODE: Generate 3-4 UI/UX ideas.
When backend-thinker proposes APIs, suggest frontend patterns that match.
Challenge backend proposals that create poor user experiences.
Advocate for progressive disclosure and accessibility.""")
# Optional: Add security-auditor, ux-researcher, llm-integrator based on topic
Key advantage: Agents riff on each other's ideas and play devil's advocate in real-time, rather than generating ideas in isolation.
Team teardown after synthesis:
python
# After Phase 5 synthesis and design presentation
SendMessage(type="shutdown_request", recipient="system-designer", content="Brainstorm complete")
SendMessage(type="shutdown_request", recipient="backend-thinker", content="Brainstorm complete")
SendMessage(type="shutdown_request", recipient="frontend-thinker", content="Brainstorm complete")
# ... shutdown any additional domain teammates
TeamDelete()
Fallback: If team formation fails, use standard Phase 2 Task spawns from Phase Workflow.
Key Principles
| Principle | Application |
|---|
| Dynamic agent selection | Select agents based on topic keywords |
| Parallel research | Launch 3-5 agents in ONE message |
| Memory-first | Check graph for past decisions before research |
| Divergent-first | Generate 10+ ideas BEFORE filtering |
| Task tracking | Use TaskCreate/TaskUpdate for progress visibility |
| YAGNI ruthlessly | Remove unnecessary complexity |
Related Skills
architecture-decision-record
- Document key decisions made during brainstorming
- - Execute the implementation plan after brainstorming completes
- - Deep codebase exploration to understand existing patterns
- - Rate quality 0-10 with dimension breakdown
References
- Phase Workflow - Detailed 7-phase instructions
- Divergent Techniques - SCAMPER, Mind Mapping, etc.
- Evaluation Rubric - 0-10 scoring criteria
- Devil's Advocate Prompts - Challenge templates
- Socratic Questions - Requirements discovery
- Common Pitfalls - Mistakes to avoid
- Example Session - Complete example
Version: 4.1.0 (January 2026) - Refactored to progressive loading structure