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brainstorming

brainstormingSafety 95Repository

Use for ideation, requirements clarification, and architectural design. Adapts to task complexity (Trivial/Medium/Complex).

1 stars
1.2k downloads
Updated 2/7/2026

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SKILL.md

Universal Brainstorming Protocol

Purpose: Bridge the gap between user intent ("Make it pop") and technical specification ("CSS Box Shadow"). Core Rule: Do NOT write code until you have a confirmed design (except for Trivial tasks).

Phase 1: Assess & Understand

1. Complexity Assessment (MANDATORY) At the start, classify the task to determine your mode:

LevelCriteriaProtocolReference
TRIVIALClear requirements, standard pattern, single component (e.g., "Fix typo", "Add log").Fast Path: Skip deep research. Confirm plan in chat. Go.examples/demo_trivial.md
MEDIUMStandard task but open details (e.g., "Add button", "Refactor function").Standard: 1-2 clarifying questions, 2 options, brief confirmation.examples/demo_medium.md
COMPLEXHigh uncertainty, architectural impact, multiple components (e.g., "New System").Deep Dive: Research -> Mermaid -> Trade-offs -> Design Doc -> Sign-off.examples/demo_complex.md

2. Context Gathering (Tool Agnostic)

  • Search: Use your environment's search capability (e.g., grep, search_code) to understand existing patterns.
    • Guardrail: IF NO SEARCH TOOLS EXIST, do NOT guess. Explicitly ask the user: "I cannot scan the repo. Could you share package.json and relevant files?"
  • Reading: Preferentially read task.md, README.md, or .cursorrules to align with project standards.

Phase 2: Explore & Visualize (The "How")

1. Smart Questions

  • Ask ONE critical question at a time.
  • Template: "To match your existing patterns for [X], do you prefer [Option A] or [Option B]?"

2. Visual Thinking

  • Constraint: For MEDIUM/COMPLEX tasks, you MUST visualize the flow.
  • Primary: Mermaid (Flowcharts/Sequence) only if confident the user's UI supports it.
  • Fallback: ASCII Art or Bullet Lists if the environment is restricted (e.g., standard terminal).

3. The "Design Doc" Rule

  • Trivial: No doc needed. Chat confirmation is enough.
  • Medium/Complex: You MUST produce a Design Document (e.g., docs/design/feature-name.md).
    • No File Access?: Output the full Markdown in chat and ask user to save it.

Phase 3: Converge & Verify (The "Gate")

1. Adversarial CoT Checklist (The "Final Gate") Before asking for approval, explicitly check these in your internal thought process:

  • Red Flags: Did I ignore any user constraints?
  • YAGNI: Is this the simplest possible solution?
  • Alignment: Does this match the project's tech stack (e.g., not suggesting React for a Vue app)?
  • Confirmation: Did the user explicitly say "Yes" to this specific design?

2. Handover Templates

  • Presentation: "I have analyzed the options. Here is the proposed design for [Feature]: [Link to Doc / Summary]. Trade-offs considered: [A vs B]."
  • Checkpoint: "Please confirm this approach matches your expectation before I proceed to implementation."
  • Rejection: "Understood. You prefer [B]. I will pivot the design to focus on [B]. New plan..."

Rationalization Table (Anti-Patterns)

Agent ExcuseReality / Correct Action
"It's faster to just code it."WRONG. Reworking bugs is slower. Validate first.
"I skipped options because it's trivial."OK, but state: "This is trivial, I propose X. Proceed?"
"The user ignored my question."RISKY. Don't guess. Ask again: "To avoid breaking X, I need to know Y."
"I can't see the file."STOP. Ask for it. Do not hallucinate file contents.
"This seems standard."VERIFY. Is it standard for this project? Check package.json.

Edge Cases

  • User provides full design: Summarize understanding, verify 1-2 assumptions, then Fast Track.
  • Non-Code Idea: Switch to "Strategy" mode. Output a "Strategy Doc" instead of "Technical Spec".
  • Legacy Code: If context is massive, ask user: "Which specific files should I anchor my design on?"

Install

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Requires askill CLI v1.0+

AI Quality Score

95/100Analyzed 2/13/2026

A highly structured and robust protocol for AI brainstorming that adapts to task complexity. It features clear phases, explicit safety guardrails against hallucination, and specific communication templates, making it an excellent example of a soft-skill definition for agents.

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Metadata

Licenseunknown
Version-
Updated2/7/2026
PublisherMatrixFounder

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