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neuraforge-cl-esneuraforge-cl-es/adaptive-engineering/skills/existing-system-scan/SKILL.md

existing-system-scan

Skill1 starsChanged 11 days agoMITView on GitHub

Inspect the repository for existing behavior, conventions, native capabilities, and installed dependencies before creating new code or abstractions.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    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. Very specific:

    Check framework/runtime/standard-library support.

    line 13
  2. Distinctive:

    Check already-installed dependencies and whether they are already used for the same concern.

    line 14
  3. Distinctive:

    Do not reuse code just because it exists.

    line 20

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Existing System Scan

Search before inventing.

Scan order

  1. Find the closest existing implementation by behavior, not merely by filename.
  2. Identify conventions for errors, validation, logging, configuration, persistence, tests, and dependency injection.
  3. Check framework/runtime/standard-library support.
  4. Check already-installed dependencies and whether they are already used for the same concern.
  5. Identify extension points that remain coherent if reused.
  6. Record invariants that must not change.

Reject false reuse

Do not reuse code just because it exists. Reject reuse when it:

  • couples unrelated domains
  • weakens type or security boundaries
  • creates hidden behavior
  • would make the existing abstraction less coherent

Output

Return only evidence that affects the implementation decision:

  • reusable code/capability
  • relevant convention
  • invariant
  • gap that truly requires new code

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

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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.