skillberry-ai/cap-evolve/skill

<Skill Title>

One-sentence statement of what running this skill accomplishes.

When to use this skill

Concrete triggers. What situation in the pipeline calls for it.

Inputs

Read inputs/INPUTS.md. For every input marked NEEDED that is not already present, ASK THE USER — quote the expected path, the command/options to obtain it, and any alternatives — and do not fabricate it. RECOMMENDED inputs may be skipped, with a logged note.

What you must implement

The optimizer agent implements the abstract methods in scripts/abstract.py (or confirms the project adapter already covers them). Then run scripts/check.py — it refuses until every method is real and deterministic, and tells you exactly what is still stubbed.

How to run

python scripts/check.py        # gate: must pass first
python scripts/run.py <args>   # executes the step; prints a JSON result to stdout

The JSON on stdout is the contract surface — downstream skills (and hosts that can't import Python) consume it directly.

References — load only when you need them

• references/concepts.md — grounded background and the reasoning behind the design.
• references/examples.md — concrete worked examples.
• references/pitfalls.md — failure modes and important points to watch.

Prompt

prompt/PROMPT.md is the prompt template handed to the using-agent when this skill drives a model step. Fill its {{placeholders}} from the inputs.