agentleFS
maridlabsaimaridlabsai/jini/.claude/skills/llm-behavior/skill.md

llm-behavior

Skill1 starsChanged 5 months agoApache-2.0View on GitHub

Use this skill when Jini responds with the wrong intent, wrong route, or wrong output shape. Return repro, classification, root cause, fix, and test.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    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:

    Use this skill when Jini responds with the wrong intent, wrong route, or wrong output shape.

    line 3
  2. Distinctive:

    Add or update a prompt-bank or CLI UX gate fixture.

    line 10

≈ “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

LLM Behavior

Use this skill when Jini responds with the wrong intent, wrong route, or wrong output shape.

Procedure

  1. Capture the smallest prompt transcript that reproduces the issue.
  2. Classify the failure as intent, routing, context carryover, rendering, prompt, or tool-selection.
  3. Inspect the shared engine before proposing a one-off fix.
  4. Add or update a prompt-bank or CLI UX gate fixture.

Output

Return repro, classification, root cause, fix, and test.

Download now (ZIP)

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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.