first-principles-thinking
Skill6 starsChanged 4 months agoApache-2.0View on GitHub
Use when assumptions, analogies, legacy constraints, or accepted ways of working may be hiding a better solution. Use when applying First Principles Thinking, reasoning from fundamentals, assumption stripping, rebuilding from basic truths, or non-incremental problem solving.
11 other projects use a version of this.
Adopted by
Most recently taken up by
- ysskrishna/ai-agent-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
- ysskrishna/ai-agent-skills★ 20same name
- swapnildahiphale/first-principles-thinking-skill★ 9same 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 repository57 other files it gives its agents.
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- deductive-reasoningSkill
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- empathy-mapSkill
- evidence-mapSkill
- fifteen-percent-solutionsSkill
- fishbone-diagramSkill
- five-whys-root-causeSkill
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- go-to-market-diagnosisSkill
- hypothesis-treeSkill
- inductive-reasoningSkill
- issue-treeSkill
- jobs-to-be-doneSkill
- kano-modelSkill
- mece-frameworkSkill
- metrics-treeSkill
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- north-star-metricSkill
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- pre-mortemSkill
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- rice-scoringSkill
- risk-matrixSkill
- scenario-planningSkill
- service-blueprintSkill
- signal-vs-noise-filterSkill
- stakeholder-power-mapSkill
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- systems-thinkingSkill
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- validation-planSkill
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The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 4 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
Use this skill to run First Principles Thinking as a practical consulting method, not as a generic inspiration quote.
- Very specific: line 28
If an input is missing, do not block automatically.
- Distinctive: line 78
Do not confuse first principles with personal opinion.
- Distinctive: line 79
Every first principle must be backed by evidence, direct observation, economics, physics, customer reality, process reality, or a clearly …
- Distinctive: line 81
Do not ignore execution constraints.
- Distinctive: line 82
Keep wording professional and plain enough that a smart non-specialist can use it without translation.
“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
Use this skill to run First Principles Thinking as a practical consulting method, not as a generic inspiration quote.
Method Notes
- First principles thinking breaks a problem into the most basic truths that are still reliable in the current context.
- It deliberately avoids solving only by analogy, precedent, habit, or "how this is usually done."
- A useful first principle is not necessarily a universal law; it can be a context-specific truth that cannot be reduced further for the decision at hand.
- The method should rebuild options from the ground up, then reconnect them to constraints, economics, and execution reality.
Required Inputs
Collect or infer these inputs before execution:
- problem statement
- current assumptions
- known constraints
- evidence or facts
- desired outcome
If an input is missing, do not block automatically. Mark it as missing, state the assumption used, and add a validation action.
When Not To Use
Do not use for a routine root-cause investigation, evidence classification, or option scoring. Use five-whys-root-cause for one cause chain, fishbone-diagram for multi-factor operational causes, and evidence-map when the fact base is not yet reliable. Use first principles when inherited assumptions or analogy constrain the option set.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
| State the problem plainly | Problem statement, desired outcome, decision context. | Rewrite the issue without inherited labels, solution language, or organizational shorthand. | Plain problem statement. |
| List assumptions and analogies | Current beliefs, constraints, common practice, benchmark logic. | Separate facts from assumptions, habits, analogies, and rules of thumb. | Assumption inventory. |
| Strip to fundamentals | Evidence, physical/economic/customer/process realities. | Ask what must be true, what is directly observed, and what cannot be reduced further for this decision. | First-principles breakdown. |
| Rebuild options | Fundamental truths, desired outcome, constraints. | Derive candidate options from fundamentals, then check them against evidenced constraints. Do not invent alternatives to satisfy novelty. | Rebuilt solution options. |
| Test against reality | Options, constraints, economics, stakeholder needs, validation data. | Check feasibility, risks, tradeoffs, and the fastest test that would prove or disprove each option. If no feasible new alternative survives, retain the current solution or take no action; state the constraint evidence and observable condition for reopening the choice. | Validation plan and recommended option. |
Output Template
### 1. Problem Frame
- Plain problem statement:
- Desired outcome:
- Decision boundary:
### 2. Assumption Inventory
| Assumption / analogy | Type | Evidence | Keep / challenge / test |
|---|---|---|---|
| | fact / assumption / analogy / constraint | | |
### 3. First Principles
- Fundamental truth 1:
- Fundamental truth 2:
- Fundamental truth 3:
### 4. Rebuilt Options
| Option | Built from which first principle | Why it may work | Main risk | Fastest test |
|---|---|---|---|---|
| | | | | |
### 5. Recommendation
- Best next move:
- New alternative / retain current solution / no action:
- Constraint evidence and reasons alternatives are infeasible:
- Condition and signal for reopening the choice:
- What to stop assuming:
- Validation signal:Quality Gate
- Do not confuse first principles with personal opinion.
- Every first principle must be backed by evidence, direct observation, economics, physics, customer reality, process reality, or a clearly stated context boundary.
- When feasible new alternatives survive, show how they differ meaningfully from inherited solutions. If no feasible new alternative survives, a justified decision to retain the current solution or take no action is valid; provide constraint evidence, reasons alternatives are infeasible, and a condition and signal for reopening the choice. Do not invent alternatives or treat an unverified constraint as immutable.
- Do not ignore execution constraints; reintroduce constraints after rebuilding options from fundamentals.
- Keep wording professional and plain enough that a smart non-specialist can use it without translation.
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