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thoitiettxl-cyberthoitiettxl-cyber/Claw-II/skills/brainstorming/SKILL.md

brainstorming

Skill2 starsChanged 7 months agoMITView on GitHub

Standardize steps to clarify intent, requirements, constraints, trade-off and candidate approaches before writing plans or implementing in OpenClaw-Module Android; Prioritize controlled divergence, state assumptions, detect unknowns and choose directions worth trying before locking the execution plan. Use when ideas are vague, have many approaches, need to explore design space, compare options, think through approaches, evaluate trade-offs, or want to clarify problem framing before committing to a specific plan/approach.

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The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 170 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If brainstorming reveals the scope is already clear, hand off to writing-plans.

    line 56
  2. Distinctive:

    If unknowns are blocking good options, call them out instead of pretending certainty.

    line 57
  3. Distinctive:

    Not enough context for good comparison:

    line 78
  4. Distinctive:

    No meaningful alternative exists:

    line 80
  5. Distinctive:

    Must distinguish assumptions from known constraints.

    line 91

“Common” is measured: kept by at least 6 in 10 of the 170 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Brainstorming

Indexed Reference Map

  • @[SKILL.md#L1-L94] Frontmatter, trigger rules, SOP, output contract.
  • @[references/INDEX.md#L1-L17] Reading order and reference inventory.
  • @[references/problem-framing.md#L1-L10] How to define the problem before proposing solutions.
  • @[references/divergence-rules.md#L1-L7] How to explore multiple options without drifting.
  • @[references/convergence-check.md#L1-L7] How to narrow to a recommended direction.
  • @[references/examples.md#L1-L11] Example brainstorming outputs.

Scope

  • In-scope:
    • Clarifying goals, constraints, unknowns, and trade-offs.
    • Generating multiple plausible approaches before planning.
    • Producing a recommendation with explicit reasoning.
  • Out-of-scope:
    • Jumping straight into implementation details without framing.
    • Treating brainstorming as an excuse for endless ideation.
    • Replacing concrete planning when scope is already known.

KB Mode Notes

  • Reading order:
    1. references/INDEX.md
    2. references/problem-framing.md
    3. references/divergence-rules.md
    4. references/convergence-check.md
    5. references/examples.md
  • Coverage Matrix:
    • Problem definition -> problem-framing.md
    • Option generation -> divergence-rules.md
    • Narrowing decision -> convergence-check.md
    • Examples -> examples.md
  • Portability note:
    • “Brainstorming” here is structured technical exploration, not free-form creative dumping.

Trigger Rules

  • Positive:
    • User asks for ideas, options, approaches, design directions, comparisons, or trade-offs.
    • Problem framing is still fuzzy and solution space is open.
    • Prompt contains intent like: brainstorm, explore options, think through approaches, compare alternatives, what are the possible designs, before we implement.
  • Negative:
    • A clear plan already exists.
    • The task only needs direct execution.
    • The user wants final verification/completion, not exploration.
  • Escalation:
    • If brainstorming reveals the scope is already clear, hand off to writing-plans.
    • If unknowns are blocking good options, call them out instead of pretending certainty.

SOP

  1. Frame the problem
    • Define objective, constraints, unknowns, and success criteria.
  2. Generate candidate approaches
    • Produce multiple realistic options.
  3. Compare trade-offs
    • Complexity, risk, reversibility, and fit with runtime constraints.
  4. Identify missing information
    • Separate known facts from assumptions.
  5. Converge to recommendation
    • Select the most sensible next direction.
  6. Suggest next action
    • Usually move to plan-writing or targeted validation.

Error Handling

  • Options are too vague:
    • restate the problem and tighten constraints.
  • Brainstorming drifts into implementation:
    • pull back to approach-level comparison.
  • Not enough context for good comparison:
    • say what is missing.
  • No meaningful alternative exists:
    • state that directly instead of fabricating variety.

Output Contract

  • Deliverable:
    • Problem Frame: objective/constraints/unknowns.
    • Options: 2+ candidate approaches when appropriate.
    • Trade-offs: pros/cons or risks.
    • Recommendation: preferred direction.
    • Next Step: usually plan, experiment, or direct execution.
  • Validation:
    • Must distinguish assumptions from known constraints.
  • Compliance Verdict:
    • PASS when exploration is bounded, comparative, and converges to a usable next step; otherwise PARTIAL or FAIL. herwise PARTIAL or FAIL.

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