sentient-agi/evoskill/brainstorming
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IMMEDIATELY USE THIS SKILL before answering any task - internal design thinking that identifies the question type, selects applicable skills, and converges on the best approach before implementation
Install
npx vskill@latest install sentient-agi/evoskill/brainstormingSKILL.md
Internal Design Thinking
Overview
Structured self-dialogue before answering any question or task. Analyze what's being asked, identify which skills apply, reason through the approach, then execute.
Core principle: Think first, execute second. Map the question to the right skill chain before acting.
The Process
Phase 1: Question Classification
Analyze the question to determine:
- Domain: What subject area does this fall into?
- Data type: What kind of data or input is involved?
- Time scope: Single point, time series, comparison, or not applicable?
- Operation type: Raw lookup, calculation, transformation, generation, analysis?
- Output format: What form should the answer take (number, text, code, list, etc.)?
- Key terms: If the question uses a specific term or method, explicitly state its definition/formula BEFORE proceeding
Phase 2: Skill Selection
Review available skills and determine which apply:
- List all skills currently available in
.claude/skills/ - For each skill, check if it is relevant to the question's domain and operation type
- If multiple skills apply, determine the order they should be chained
Skill chain reasoning:
- "This question requires [X], which maps to skill [Y]"
- "After [Y], I need to apply [Z] for the final transformation"
- "No existing skill covers [W] — proceed with general reasoning"
Phase 3: Approach Design
For the selected skills, map out the execution path:
- Data retrieval: Where does the relevant data live? What search patterns to use?
- Transformations: What processing or conversions are needed?
- Analysis: What computation, reasoning, or synthesis is required?
- Formula verification (if applicable):
- Write out the exact formula to be used
- Verify it matches the standard definition of the term in the question
- Confirm units and dimensions are consistent throughout
- Validation: How will you verify intermediate results are correct?
- Output: What format does the question expect?
State assumptions explicitly:
- "Assuming [X] convention because..."
- "Interpreting [term] as [definition] because..."
- "Using [method] since the question specifies..."
Phase 4: Design Summary
Before execution, articulate the plan:
Phase 5: Execute
- Follow the plan from Phase 4
- Verify each intermediate result before proceeding to the next step
- Complete pre-output verification before stating final answer
Phase 6: Pre-Output Verification (MANDATORY)
Before outputting, check:
- Units/dimensions correct for the question type?
- Value in reasonable range for the domain?
- Computation fully completed (not partial)?
- Answer addresses exactly what was asked?
If ANY check fails → re-verify inputs and reasoning.
Remember
- This is internal reasoning — no questions, no waiting
- ALWAYS verify data extracted from files or tables before using it in calculations
- State assumptions so errors are traceable
- The goal is selecting the right approach, not documenting
- Once the plan is clear, execute immediately
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingexamples/officeqa/.claude/skills/brainstorming/SKILL.md
Popularity
- Repository stars
- 1,257
- Repository forks
- 132
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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