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oma-brainstorm

Explore goals, constraints, and alternative approaches before choosing a design. Use when the user requests ideation or design exploration.

AI 与智能体1.3kskills/oma-brainstorm/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/first-fluke/oh-my-agent/oma-brainstorm/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

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 oma-pm directly
  • Implementing actual code -> delegate to specialized agents
  • Performing code reviews -> use oma-qa
  • Debugging existing issues -> use oma-debug

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
  • Viable approaches as prose briefs (scenario, mechanism, residual risk), with comparison and recommendation when alternatives aid the decision
  • Section-by-section approved design document
  • Blind-review issue list (Tier 1 resolved, Tier 2/3 resolved or explicitly deferred)
  • Saved design artifact before handoff to planning

Dependencies

  • Shared context loading, reasoning templates, clarification protocol, quality principles, and skill routing
  • Optional resources/triz-lite.md for contradiction-shaped approach seeding
  • Per-agent reviewer dispatch (e.g. qa-reviewer, architecture-reviewer) for the high-stakes blind-review escalation path
  • Downstream PM workflow for task decomposition after design approval

Control-flow features

  • Branches by ambiguity, user answers, approach comparison, and approval gates
  • Optional TRIZ-lite branch when a technical/UX contradiction blocks distinct approaches
  • Asks one question at a time
  • Blind review round before save; may dispatch fresh-context reviewer subagents for high-stakes designs (the only subagent-spawning path in this skill)
  • 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: Compare viable approaches with tradeoffs when alternatives aid the decision; explain binding constraints when only one remains.
  4. VERIFY: Reuse existing design authority and resolve only material open choices, then run a blind review round (independent lenses critique without seeing each other's feedback) before saving.
  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.
  • If approaches collapse into knob-turning on one axis, load resources/triz-lite.md and reseed, then re-present prose briefs.

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; use TRIZ-lite only when that constraint is a technical/UX contradiction.

Exit

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

Logical Operations

Actions

ActionSSL primitiveEvidence
Read context and ideaREADUser prompt and project context
Ask targeted questionsREQUESTClarification phase
Compare approachesCOMPARETradeoff matrix
Infer recommendationINFERRecommended option
Record option selectionCALL_TOOLActual approach, comparison evidence, and design/option revision; matching instanceId and verifier --instance in an active OMA workflow
Resolve design authorityVALIDATEExisting instruction, delegated choice, or explicit answer for an unresolved material design choice
Run blind reviewVALIDATEIndependent lens critiques, tiered issue list, Tier 1 resolution
Write design artifactWRITEdocs/plans/designs/ and memory
Transition to planNOTIFYHandoff summary

Tools and instruments

  • Context loading, reasoning templates, clarification protocol
  • Optional TRIZ-lite resource for contradiction seeding
  • Project memory and docs/plans/designs/ for persisted designs

Canonical workflow path

1. Ask one clarifying question at a time.
2. (Optional) If technical/UX contradiction or same-axis approaches only → resources/triz-lite.md.
3. Present viable alternatives as prose briefs and compare them when useful; do not invent extra options to meet a count; reuse an existing selection or delegated choice and resolve only an open material choice. In an active OMA workflow, record the actual approach, rationale, evidence, and design/option revision with `brainstorm.option-selection`; verify the matching --instance (workflow Step 3 owns the commands).
4. Design section by section within existing authorization, then blind review: independent lenses suited to the uncertainty and stakes critique the design; resolve Tier 1 issues (fresh-context reviewer subagents for high-stakes designs).
5. Save the approved design to `docs/plans/designs/` before handing off to planning.

Resource scope

ScopeResource target
MEMORYUser intent, assumptions, decisions
CODEBASEExisting project context when relevant
LOCAL_FSApproved design artifacts; optional TRIZ-lite appendix in design doc

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 clarification and approval questions through the available asynchronous question tool first, following ../_shared/core/clarification-protocol.md; fall back to a permitted question tool or plain text. Continue independent work while waiting, and never infer approval from silence or a preselected option.
  3. Compare viable approaches - offer two or three when they aid the decision, and explain constraints when fewer remain. Recommend according to the actual goal, effort, reversibility, and risk. Do not favor a larger structural change solely because of its label.
  4. Explain viable approaches in prose - state scenario, mechanism, residual risk, and effort. Use a comparison matrix when it helps the decision, then give the recommendation; a single constrained option needs its rationale, not invented alternatives
  5. Section-by-section design - present the design incrementally; reuse existing decisions and delegated authority, asking only for unresolved material choices under the shared execution policy
  6. Blind review before save - mandatory unless the design is trivially small (1-2 files, low stakes); lenses critique independently; use fresh-context reviewer subagents for architecturally significant, hard-to-reverse, or security-/compliance-sensitive designs
  7. YAGNI - do not over-engineer; design only what is needed for the stated goal
  8. TRIZ-lite is optional - only for technical/UX contradictions or same-axis collapse; max 3–5 principles from the curated set; no fake scores, full TRIZ/ARIZ, or classical matrices; seeds feed Step 3 briefs and do not replace user approval
  9. 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: Optionally seed with TRIZ-lite for a real contradiction; compare viable approaches in prose and recommend according to the stated constraints, effort, reversibility, and risk
  4. Phase 4 - Design: Present the detailed design section by section, preserving existing authorization and resolving only open material choices
  5. Phase 5 - Blind Review: Use independent reviewer lenses proportionate to the design uncertainty and stakes, consolidate into Tier 1/2/3 issues, resolve Tier 1 before save; escalate to fresh-context reviewer subagents for high-stakes designs. Skip only for trivially small designs (1-2 files, low stakes)
  6. Phase 6 - Documentation: Save the approved design to docs/plans/designs/ and project memory
  7. Phase 7 - 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: Skipping viable alternatives without explaining binding constraints
  • Matrix-only options: Dumping a trade-off table without scenario/mechanism prose so the user cannot choose
  • Same-axis "alternatives": Three intensities of the same knob (interval/TTL/debounce) presented as distinct approaches
  • TRIZ on everything: Loading triz-lite without a real contradiction, adding ceremony without better options
  • Over-engineering: Designing for hypothetical future requirements instead of stated needs
  • Inventing design authority: Treating an agent recommendation as approval of a user-owned unresolved choice, or asking again for a choice already authorized
  • Skipping blind review: Saving a non-trivial design without the independent critique round, or letting the design's author-context leak into escalated reviewer prompts

References

  • TRIZ-lite (optional Step 3 seeding): resources/triz-lite.md
  • Context loading: ../_shared/core/context-loading.md
  • Clarification protocol: ../_shared/core/clarification-protocol.md
  • Quality principles: ../_shared/core/quality-principles.md
  • Skill-to-agent mapping: ../_shared/core/skill-routing.md

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