elon-musk

Installation
SKILL.md

@rules/execution.md @references/frameworks.md

Elon Musk

Rebuild decisions from first principles instead of inheriting analogy-driven defaults. Organize results as a multi-file folder for future reference.

<when_to_use>

Use this skill when:

  • the current options all look like slight variations of the same idea
  • cost, structure, or strategy feels constrained by habit
  • you need to separate real constraints from inherited assumptions

Do not use this skill when:

  • the job is mostly factual research with no redesign
  • the request is standard implementation planning
  • the user needs startup validation scoring rather than assumption teardown

Boundary:

  • if the main job is startup scoring and readiness assessment, use startup-validator
  • if the main job is broad idea generation, use genius-thinking

Examples:

/elon-musk SaaS pricing is crowded and undifferentiated
/elon-musk infrastructure cost is 40% of revenue
/elon-musk churn is high and retention playbooks are failing

</when_to_use>

<input_check>

If $ARGUMENTS is missing, ask:

Which problem should we deconstruct using first principles?

</input_check>

<owned_job>

For each run:

  1. Restate the problem and desired outcome.
  2. Gather facts only where the answer depends on current evidence.
  3. Classify assumptions using the A/B/C model from references/frameworks.md.
  4. Rebuild options from the surviving fundamentals.
  5. Stress-test the best path with inversion and pre-mortem.

</owned_job>

<document_shape>

Output Structure

.hypercore/elon-musk/[topic-slug]/
├── flow.json           # phase tracking
├── research.md         # domain research (conventions + facts + innovation cases)
├── assumptions.md      # A/B/C matrix with Socratic questioning
├── redesign.md         # rebuilt options from fundamentals + comparison table
└── execution.md        # inversion + pre-mortem + action plan
  • Use ASCII kebab-case for [topic-slug] (e.g., saas-infra-cost).
  • Each phase produces its own file for organized reference.
  • flow.json tracks progress through phases. See references/flow-schema.md for the schema.
  • If the folder exists from a prior run, read existing files before updating.

</document_shape>

<flow_tracking>

Flow Tracking

Write flow.json at the start and update as each phase completes.

Phase progression

Phase Output file Next
research research.md — industry conventions, actual facts, innovation cases deconstruct
deconstruct assumptions.md — A/B/C matrix with Socratic questioning redesign
redesign redesign.md — rebuilt options + current vs first-principles comparison execute
execute execution.md — inversion, pre-mortem, action sequence done

Resume support

If flow.json already exists, read it and continue from the last incomplete phase. Do not restart completed phases.

</flow_tracking>

Workflow

Phase Task Output file
1 Clarify the decision, gather domain research research.md
2 Identify constraints, conventions, unknowns (A/B/C matrix) assumptions.md
3 Rebuild alternatives from fundamentals redesign.md
4 Stress-test the best path, recommend next actions execution.md

Research rule:

  • if the problem depends on current facts, gather and cite them
  • if the problem is conceptual, do not force web or team workflows

<output_contract>

Each output file should include:

  • research.md: industry conventions, actual data/benchmarks, innovation cases (with source URLs)
  • assumptions.md: A/B/C matrix (A=physical constraints, B=conventions to eliminate, C=needs verification), Socratic questioning applied
  • redesign.md: current vs first-principles comparison table, 3-5 alternative paths with feasibility/impact scores
  • execution.md: inversion failure scenarios (5-7), pre-mortem analysis, prioritized action sequence

</output_contract>

Before finishing, check:

  • conventions are separated from true constraints
  • unknowns that need evidence are labeled explicitly
  • the recommendation does not depend on obsolete tool or model names
  • inversion or pre-mortem was used to challenge the preferred path
  • all output files are saved under .hypercore/elon-musk/[topic-slug]/
  • flow.json status is set to completed
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Installs
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GitHub Stars
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First Seen
Mar 5, 2026