agentleFS
DarthJonathanDarthJonathan/guac-skills/skills/how/SKILL.md

how

Skill0 starsChanged 17 days agoMITView on GitHub

Explain how a subsystem works, including runtime flow, ownership, layering, and code locations. Use for code walkthroughs and architecture questions.

90 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 89 edited versions we read keep these.

  • 1

    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:

    Read the Codex runtime adapter once per session before using this skill.

    line 6

“Common” is measured: kept by at least 6 in 10 of the 89 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

Read the Codex runtime adapter once per session before using this skill. Its tool, model, history, and authorization mappings apply to all linked instructions.

How

Answer the user's concrete question from the source and, when needed, observable runtime behavior.

For a narrow function or module, explore directly. For a cross-cutting subsystem, split the investigation into two to four useful angles and use permitted native subagents when they add value. Read the explorer prompt for delegated exploration and the explainer prompt for synthesis. Keep investigations read-only unless the user asked for implementation.

Trace entry points, data structures, ownership, calls, state changes, and error paths. Follow real callers rather than inferring use from a definition. Use the how explorer and how explainer role preferences from pstack configuration, defaulting to inheritance.

Bring the findings together in an explanation that builds a working mental model. Use the relevant sections from the explainer prompt: Overview, Key Concepts, How It Works, Where Things Live, and Gotchas. Include precise source pointers and distinguish runtime evidence from inferred behavior. Route motivation and historical rationale to why.

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