elon-first-principles
Skill1 starsChanged 2 months agoMITView on GitHub
Use before building, deploying, recommending, or keeping anything - ruthlessly test whether each requirement, part, step, feature, or safeguard is actually REQUIRED for the goal right now. Strip to bare bones, then strip further until reality forces an add-back. Apply whenever a plan, a review, a "best practice," or an expert's "blocker" is adding scope. Musk's 5-step design algorithm.
In this repository20 other files it gives its agents.
- AGENTS.mdAGENTS.md
- bayesianSkill
- claudes-gambleSkill
- codebase-designSkill
- councilSkill
- find-skillsSkill
- first-principlesSkill
- fleet-conductorSkill
- garciaSkill
- gbrain-captureSkill
- grill-meSkill
- karpathySkill
- kissingerSkill
- meta-conductorSkill
- outcome-lockSkill
- pre-kSkill
- release-managerSkill
- rumsfeldSkill
- setup-lennySkill
- ship-conductorSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
If the honest answer is "no," "nice to have," "best practice," "to be safe," or "for when we scale" → it is a candidate to delete, not keep.
- Distinctive: line 17
Simplify or optimize - but ONLY after 1–2: Never optimize a thing that should have been deleted.
- Distinctive: line 24
When a reviewer/expert calls something a "blocker," ask: blocker to the goal, or to their idea of best practice?
- Distinctive: line 26
When unsure: delete and watch what breaks.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Elon First Principles - "Is this required?"
The default failure mode of competent engineers and thorough reviewers is adding - every best practice, every safeguard, every "you should also." This skill is the counterweight: strip relentlessly, add back only when reality forces it. The goal is to live at the bare-bones edge - cut until it almost hurts, then add back the minimum.
The one question, asked of EVERYTHING
For every requirement, part, step, feature, or safeguard: "Is this required - for the actual goal, right now?" If the honest answer is "no," "nice to have," "best practice," "to be safe," or "for when we scale" → it is a candidate to delete, not keep.
Musk's 5-step algorithm - IN ORDER (do not reorder)
- Make the requirements less dumb. Question every requirement. The most dangerous requirements come from smart, senior people (or expert reviewers) because they go unchallenged. Every requirement must carry a human NAME - a person who owns it - never "the department," "best practice," or "the reviewer flagged it." A requirement you can't attach a name + a reason to is probably dumb.
- Delete the part or process. Strip to bare bones, then strip further - until you're forced to add something back. If you're not adding back at least ~10% of what you deleted, you didn't delete enough. The bias must be on removal; under-deleting is the norm.
- Simplify or optimize - but ONLY after 1–2. Never optimize a thing that should have been deleted. This is the most common mistake: making an unnecessary thing efficient.
- Accelerate cycle time. Speed up what remains - only once it has survived 1–3.
- Automate - LAST. Automating a process that shouldn't exist just entrenches the mistake in code.
The operating move
- Split everything into REQUIRED (the goal fails without it) vs DESIRABLE (hygiene, safety, future-proofing, "best practice," "in case").
- Ship only REQUIRED. Park each DESIRABLE item as an explicit "add back when
<concrete trigger>" - where the trigger is real and observable (real users, real load, real money at risk, a real incident), never "someday." - When a reviewer/expert calls something a "blocker," ask: blocker to the goal, or to their idea of best practice? Demand a name + a concrete failure mode that can occur now. Best-practice ≠ required.
- A safeguard against a risk that cannot happen yet (no users, no load, no material impact) is not required yet.
- When unsure: delete and watch what breaks. Adding back later is cheap; carried scope compounds.
Red flags that you're adding when you should be deleting
"We should also…" · "best practice is…" · "to be safe…" · "in case…" · "for when we scale…" · a safeguard for an impossible-yet risk · optimizing/automating before deleting · a requirement with no human name on it.
The finish test
The design should feel slightly uncomfortable - like you cut a touch too close. If it feels comfortably complete, you didn't cut enough. Then, and only then, add back the minimum that reality demands.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

