Oma Brainstorm

Brainstorm - Design-First Ideation

Scheduling

Goal

Explore user intent, constraints, and alternative approaches before planning or implementation, then preserve an approved design for downstream planning.

Intent signature

• User says they have an idea, want to brainstorm, compare approaches, explore concepts, or design before planning.
• Request is ambiguous enough that implementation or task planning would be premature.

When to use

• Exploring a new feature idea before planning
• Understanding user intent and constraints before committing to an approach
• Comparing multiple design approaches with trade-offs
• When the user says "I have an idea" or "let's design something"
• Before invoking /plan for complex or ambiguous requests

When NOT to use

• Requirements are already clear and well-defined -> use pm-agent directly
• Implementing actual code -> delegate to specialized agents
• Performing code reviews -> use QA Agent
• Debugging existing issues -> use debug-agent

Expected inputs

• Early idea, ambiguous goal, product concept, design question, or set of constraints
• Existing project context when the idea must fit a codebase or product direction
• User preferences and approval gates

Expected outputs

• Clarified intent and constraints
• Two or three approaches with tradeoffs and a recommended option
• Section-by-section approved design document
• Saved design artifact before handoff to planning

Dependencies

• Shared context loading, reasoning templates, clarification protocol, quality principles, and skill routing
• Downstream PM workflow for task decomposition after design approval

Control-flow features

• Branches by ambiguity, user answers, approach comparison, and approval gates
• Asks one question at a time
• Stops before implementation or task planning

Structural Flow

Entry

1. Confirm that the request is exploratory rather than ready for implementation.
2. Load enough project context to understand constraints.
3. Start with intent and constraints, not solutions.

Scenes

1. PREPARE: Explore context and frame the design question.
2. ACQUIRE: Ask clarifying questions one at a time.
3. REASON: Generate two or three approaches with tradeoffs.
4. VERIFY: Get user approval section by section.
5. FINALIZE: Save design and transition to planning when appropriate.

Transitions

• If requirements become clear and implementation-ready, transition to PM planning.
• If user rejects an approach, revise before moving to detailed design.
• If implementation pressure appears early, defer it until design approval.

Failure and recovery

• If the user cannot answer a question, propose assumptions and ask for confirmation.
• If scope expands, split the design into smaller sections.
• If alternatives collapse into one option, identify the real constraint causing that.

Exit

• Success: approved design exists and is ready for planning.
• Partial success: open questions and assumptions are explicit.

Logical Operations

Actions

| Action | SSL primitive | Evidence | |--------|---------------|----------| | Read context and idea | READ | User prompt and project context | | Ask targeted questions | REQUEST | Clarification phase | | Compare approaches | COMPARE | Tradeoff matrix | | Infer recommendation | INFER | Recommended option | | Validate approval | VALIDATE | Section-by-section confirmation | | Write design artifact | WRITE | docs/plans/designs/ and memory | | Transition to plan | NOTIFY | Handoff summary |

Tools and instruments

• Context loading, reasoning templates, clarification protocol
• Project memory and docs/plans/designs/ for persisted designs

Canonical workflow path

1. Ask one clarifying question at a time.
2. Present 2-3 approaches with tradeoffs and a recommended option.
3. Save the approved design to `docs/plans/designs/` before handing off to planning.

Resource scope

| Scope | Resource target | |-------|-----------------| | MEMORY | User intent, assumptions, decisions | | CODEBASE | Existing project context when relevant | | LOCAL_FS | Approved design artifacts |

Preconditions

• The user is still exploring or the request is ambiguous.
• The agent can ask clarifying questions before implementation.

Effects and side effects

• Produces design decisions and persisted design docs.
• Influences downstream planning but does not implement code.

Guardrails

1. No implementation or planning before design approval - brainstorm produces a design document, not code or task plans
2. One question at a time - ask clarifying questions sequentially, not in batches
3. Always propose 2-3 approaches - include a recommended option with trade-off analysis
4. Section-by-section design - present design incrementally with user confirmation at each step
5. YAGNI - do not over-engineer; design only what is needed for the stated goal
6. Save design, then transition - persist the approved design document before handing off to /plan

Execution Phases

Follow the brainstorm workflow step by step:

1. Phase 1 - Context: Explore the existing codebase and understand the project landscape
2. Phase 2 - Questions: Ask clarifying questions one at a time to understand intent and constraints
3. Phase 3 - Approaches: Propose 2-3 approaches with a recommended option and trade-off matrix
4. Phase 4 - Design: Present the detailed design section by section, getting user approval at each step
5. Phase 5 - Documentation: Save the approved design to docs/plans/designs/ and project memory
6. Phase 6 - Transition: Hand off to /plan for task decomposition

Common Pitfalls

• Jumping to solutions: Asking "how" before fully understanding "what" and "why"
• Too many questions at once: Overwhelming the user with a wall of questions
• Single approach bias: Presenting only one option without alternatives
• Over-engineering: Designing for hypothetical future requirements instead of stated needs
• Skipping confirmation: Moving forward without explicit user approval on design decisions

References

Vendor-specific execution protocols are injected automatically by oma agent:spawn. Source files live under ../_shared/runtime/execution-protocols/{vendor}.md.

• Context loading: ../_shared/core/context-loading.md
• Reasoning templates: ../_shared/core/reasoning-templates.md
• Clarification protocol: ../_shared/core/clarification-protocol.md
• Quality principles: ../_shared/core/quality-principles.md
• Skill-to-agent mapping: ../_shared/core/skill-routing.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: first-fluke
• Source: first-fluke/oh-my-agent
• License: MIT
• Homepage: https://firstfluke.com/oh-my-agent/

Install and usage instructions live in the source repository linked above.