first-principles-thinking
Skill20 starsChanged 27 days agoMITView on GitHub
Use for first principles thinking, or when the user questions an inherited default: "why do we do it this way?", "is this cost really necessary?", "should we copy what competitors do?". Strips analogies and rebuilds from fundamentals. Skip for convention-following checklists.
11 other projects use a version of this.
Adopted by
Most recently taken up by
- fzfclee/consulting-skillstheir own version, first seen Oct 13, 2026
- mindfold-ai/Trellistheir own version, first seen Oct 8, 2026
- hraness/personal-monorepo-templatetheir own version, first seen Sep 28, 2026
- jshsakura/awesome-opencode-skillstheir own version, first seen Jul 8, 2026
- risadams/ink-and-agencytheir own version, first seen Jul 7, 2026
- B143KC47/first-principles-thinking-skilltheir own version, first seen Jul 5, 2026
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- mindfold-ai/Trellis★ 15ksame name
- jshsakura/awesome-opencode-skills★ 30same name
- swapnildahiphale/first-principles-thinking-skill★ 9same name
- fzfclee/consulting-skills★ 6same name
- hraness/personal-monorepo-template★ 4same name
- weiliu1031/first-principles-thinking★ 4same name
- risadams/ink-and-agency★ 2same name
- akshat10/skills★ 1same name
- B143KC47/first-principles-thinking-skill★ 1same name
- useopencompany/skills★ 1same name
1 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- analytical-thinkingSkill
- creative-thinkingSkill
- critical-thinkingSkill
- design-thinkingSkill
- ethical-thinkingSkill
- fermi-estimationSkill
- five-whysSkill
- lateral-thinkingSkill
- pre-mortemSkill
- prioritizationSkill
- six-thinking-hatsSkill
- strategic-thinkingSkill
- swot-analysisSkill
- systems-thinkingSkill
- thinking-method-selectorSkill
- tradeoff-analysisSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
3
Distinctive
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 26
Gather first: Read the code, contracts, specs or data that show what is actually required (a regulation, an SLA, a measured limit) before …
- Distinctive: line 47
Cost of being wrong: if a tagged assumption fails.
- Distinctive: line 50
If bedrock is too thin to rebuild, write insufficient grounding and list the evidence that would fix it.
“Common” is measured: kept by at least 6 in 10 of the 10 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.
Files
First Principles Thinking
Question inherited baggage. Rebuild only from bedrock you can defend.
When to use
- "Why do we do it this way?", "is this really required?", "what would this cost if we started from scratch?"
- A strategy or design copied from an incumbent ("like Uber for X") that nobody has checked.
- Cost, architecture or process choices that exist only because they always have.
Skip: quick convention-following checklists with no wish to revisit assumptions, or purely social coordination with nothing to model.
Before you start
- State in one block: Reconstruction target (belief, cost, design or strategy to ground) and Pass (Surface, Question, Bedrock, Rebuild, Implications).
- Gather first. Read the code, contracts, specs or data that show what is actually required (a regulation, an SLA, a measured limit) before tagging anything fundamental. Ask up to 3 questions only for immutable constraints that tools cannot answer.
- Light path. Small ask: 3 assumptions, 3 bedrock items, a 3-step rebuild, 2 implications.
Steps
1. Surface
State the conventional answer or the analogy people rely on. List loaded words and hidden comparisons.
2. Question
For each major assumption: Assumption: ... - Why believed? (authority, analogy, experience) - What if false?
3. Bedrock
List truths that survive scrutiny: physics, logic, arithmetic, legal musts, documented needs of real users. Tag each [FUNDAMENTAL] or [ASSUMPTION].
Aim for three or more honest bedrock items. If fewer exist, say why in one line.
4. Rebuild
Derive conclusions in numbered steps using only [FUNDAMENTAL] items. "Industry standard" is not a premise unless translated into a fundamental (for example "buyers require SLA X because regulation Y"). A new premise goes into Bedrock first, with a tag.
5. Implications
- So what: what changes versus the conventional path.
- Cost of being wrong if a tagged assumption fails.
- A short vs convention contrast when it helps the decision.
If bedrock is too thin to rebuild, write insufficient grounding and list the evidence that would fix it.
Pitfalls
- Calling a preference or a habit "fundamental".
- Rebuilding from first principles and arriving exactly at the old answer. That is fine if each step is defended; say so.
- Faux profundity. Keep every step short and checkable.
- Ignoring switching cost. A better design from scratch may not beat the current one after migration.
Worked example: references/example.md.
Checklist
- Target and Pass stated
- Surface names the convention or analogy
- Question ties each assumption to why it is held
- Bedrock tagged
[FUNDAMENTAL]or[ASSUMPTION] - Rebuild uses only fundamentals
- Implications name what changes and the cost of being wrong
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.

