skillberry-ai 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.