agentleFS
TheOnlyFusionCubeTheOnlyFusionCube/potetos-for-everyone/skills/how/SKILL.md

how

Skill18 starsChanged 53 days agoMITView on GitHub

Trace how a subsystem works using code and runtime evidence. Use for architecture walkthroughs, data flow, call paths, and are-we-sure investigations.

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 82 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read the core types and state ownership before narrating individual functions.

    line 10
  2. Very specific:

    Use vcs, tests, or observe when they resolve an ambiguity.

    line 11
  3. Distinctive:

    Test at least one claim that could easily be wrong by running or inspecting the real path.

    line 13

“Common” is measured: kept by at least 6 in 10 of the 82 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

How

Build an evidence-backed explanation of how the requested subsystem works.

  1. Find the public/consumer entry point, then trace data and control flow toward the effect. Do not start from filenames guessed by name alone.
  2. Read the core types and state ownership before narrating individual functions.
  3. Use vcs, tests, or observe when they resolve an ambiguity. If delegate exists, split independent exploration areas and reconcile them yourself.
  4. Draw a compact text or Mermaid diagram when it reduces reader load.
  5. Test at least one claim that could easily be wrong by running or inspecting the real path.
  6. Explain in consumer order: trigger -> boundary -> state/transform -> side effect -> observable result. Name file/symbol evidence and uncertainty.

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.

Reviews can't be read right now.

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.