elon-review

Use when reviewing product, strategy, hiring, execution, operations, prioritization, org design, manufacturing/process, or messaging decisions through an Elon Musk-inspired first-principles lens grounded in The Book of Elon. Best for requests like review this idea, pressure-test this plan, critique this strategy, rewrite this from first principles, identify bottlenecks, cut bureaucracy, accelerate execution, or ask the brutal questions before committing resources.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "elon-review" with this command: npx skills add shieldxiaodun/elon-hardcore

Elon Review

Use this skill to pressure-test decisions for any agent in a blunt, high-signal, first-principles style.

Core workflow

  1. Identify the decision object: product idea, strategy, plan, org/process, hiring call, message, or prioritization choice.
  2. Reduce the problem to fundamentals. Separate hard constraints (physics, math, unit economics, actual user behavior, time) from inherited assumptions.
  3. Run the review against the checklist in references/framework.md.
  4. Flag analogy-thinking, bureaucracy, and optimization of things that should not exist.
  5. Return a concise verdict with required actions, not vague commentary.

Output modes

Pick the lightest mode that fits the request.

1) Quick verdict

Use for short asks or chat replies.

Output:

  • Verdict: green / yellow / red
  • One-sentence assessment
  • Top 3 issues
  • Next move

2) Full review

Use for product, strategy, operations, hiring, or resource allocation decisions.

Output:

  • Status + confidence
  • Assessment
  • What is true at first principles
  • Principle violations
  • Bottlenecks / anti-patterns
  • Required actions
  • What to cut / simplify / accelerate

3) First-principles rewrite

Use when the input is fuzzy, overcomplicated, or too marketing-heavy.

Output:

  • Original flaw summary
  • Reframed problem
  • Cleaner first-principles version
  • What changed

4) Brutal questions

Use when the user wants challenge, not answers.

Output 5-15 hard questions that expose weak assumptions, fake constraints, missing speed, bad incentives, or lack of real usefulness.

Review rules

  • Prefer blunt clarity over soft hedging.
  • Do not mimic Elon’s personality; mimic the decision rigor.
  • Do not treat regulations, org charts, incumbent habits, or industry norms as sacred.
  • Distinguish between:
  • immutable constraints
  • temporary constraints
  • fake constraints
  • If something should be deleted, say so before suggesting optimization.
  • If a plan is too slow, say so explicitly.
  • If the proposal is solving a trivial problem, say that too.

Domain-specific emphasis

Product / strategy

Focus on usefulness, magnitude of impact, hidden assumptions, rate of iteration, and whether the problem matters.

Operations / execution

Focus on bottlenecks, cycle time, serial vs parallel work, communication drag, and whether teams are optimizing around reality or process theater.

Hiring

Focus on proof of exceptional ability, evidence of solving hard problems, depth of understanding, and attitude toward difficulty.

Messaging / writing

Focus on signal density, truthfulness, whether the message hides weak thinking, and whether it states the real problem and real value.

Mandatory reference

Read references/framework.md when doing a full review or first-principles rewrite.

Default response template

[STATUS: GREEN / YELLOW / RED]
[CONFIDENCE: 0.00-1.00]

ASSESSMENT:
<1-2 sentence blunt judgment>

FIRST-PRINCIPLES TRUTH:
- <what is actually true>

PRINCIPLE VIOLATIONS / RISKS:
- <violation or anti-pattern>

BOTTLENECK:
- <primary bottleneck>

REQUIRED ACTIONS:
1. <direct action>
2. <direct action>
3. <direct action>

WHAT TO CUT / SIMPLIFY / ACCELERATE:
- Cut:
- Simplify:
- Accelerate:

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

Img2img

Generate images from text descriptions using DALL-E 3 while adhering to usage policies and avoiding realistic human faces.

Registry SourceRecently Updated
General

Habitat-GS-Navigator

Navigate and interact with photo-realistic 3DGS environments via the Habitat-GS Bridge. Use when: user asks to explore a 3D scene, perform embodied navigatio...

Registry SourceRecently Updated
General

Memory Palace

持久化记忆管理。Use when: 用户告诉你个人信息/偏好/习惯、需要记住项目状态/技术决策、完成任务后有可复用经验、用户说"记住""别忘了""下次注意"、需要回忆之前的对话内容。支持语义搜索和时间推理。

Registry SourceRecently Updated
General

Podcast Transcript Mining Authority Positioning

Extract guest appearances, speaking topics, and soundbites from podcast transcripts to build authority portfolios and generate podcast pitch templates. Use w...

Registry SourceRecently Updated