agentleFS
fzfcleefzfclee/consulting-skills/skills/first-principles-thinking/SKILL.md

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.

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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
  1. Very specific:

    Use this skill to run First Principles Thinking as a practical consulting method, not as a generic inspiration quote.

    line 9
  2. Very specific:

    If an input is missing, do not block automatically.

    line 28
  3. Distinctive:

    Do not confuse first principles with personal opinion.

    line 78
  4. Distinctive:

    Every first principle must be backed by evidence, direct observation, economics, physics, customer reality, process reality, or a clearly …

    line 79
  5. Distinctive:

    Do not ignore execution constraints.

    line 81
  6. Distinctive:

    Keep wording professional and plain enough that a smart non-specialist can use it without translation.

    line 82

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

StepRequired inputHow to executeOutput
State the problem plainlyProblem statement, desired outcome, decision context.Rewrite the issue without inherited labels, solution language, or organizational shorthand.Plain problem statement.
List assumptions and analogiesCurrent beliefs, constraints, common practice, benchmark logic.Separate facts from assumptions, habits, analogies, and rules of thumb.Assumption inventory.
Strip to fundamentalsEvidence, 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 optionsFundamental 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 realityOptions, 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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