agentleFS
waltyouwaltyou/skills/first-principles/SKILL.md

first-principles

Skill0 starsChanged 39 days agoMITView on GitHub

Guides first-principles analysis through decomposition, assumption auditing, recombination, and experiments. Use when the user requests first-principles thinking, D.A.R.E., or challenges inherited assumptions behind a difficult problem.

30 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use second-order-thinking, inversion and 2 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • itzcullSkill

    second-order-thinking

    Use second-order thinking to examine consequences beyond immediate effects. Use when evaluating decisions across time horizons, asking what happens next, or avoiding short-sighted optimization.

    Also in 3 projects that use this

  • itzcullSkill

    inversion

    Use inversion to solve problems by reasoning backward from failure, bad outcomes, or the opposite of success. Use when identifying risks, running premortems, or escaping overly idealized thinking.

    Also in 3 projects that use this

  • Ingramradical235Skill

    pre-mortem

    Pre-mortem analysis, scenario planning, future state narratives, and contingency frameworks. Use before finalizing any Strategy Kernel, when planning major initiatives, or when preparing Plan B triggers.

    Also in 3 projects that use this

  • MicrosoftSkill

    handoff

    Compact the current conversation into a handoff document for another agent to pick up.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 21 edited versions we read keep these.

  • 2

    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
  1. Distinctive:

    Default to one stage per response, starting with Decompose.

    line 14
  2. Distinctive:

    Read each reference only when its stage begins.

    line 20

“Common” is measured: kept by at least 6 in 10 of the 21 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

Apply Sandeep Swadia's D.A.R.E. framework. Respond in the user's language.

Scope and pacing

Extract the problem, desired outcome, success criteria, and constraints from context. Ask only for gaps that materially affect the current stage. Obtain the user's choice before replacing their problem with a deeper one.

Default to one stage per response, starting with Decompose. Deliver its output, invite corrections or continuation, and wait. If the user requests a complete analysis, run all stages in order with separate outputs.

Honor requests for a specific stage, reusing prior outputs or user-supplied equivalents. Ask for missing prerequisites rather than inventing them. Preserve explicit user constraints.

Routing

Read each reference only when its stage begins.

StageInputReferenceOutput
D: DecomposeChosen problemdecompose.mdComponent map
A: AuditComponent mapaudit.mdRanked assumption register
R: RecombineAudited facts, constraints, and unknownsrecombine.mdCandidate solutions
E: ExperimentCandidates and their assumptionsexperiment.mdTests and decision criteria

Evidence and continuity

Distinguish user claims, verified facts, inferences, and unknowns. Verify against inspected evidence and state its scope. Use conversation and authorized local materials first; source retrieval is unnecessary. Research when requested or required for verification.

Carry relevant findings and unresolved questions into the next stage. Revise affected conclusions when new evidence arrives. Save analysis to files only when requested.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.