Review ML Choices

SkillDev tools

Lets your agent review Claude skill-managed ML project choices and pass requested changes to the owning skill.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Review ML Choices skill

About this skill

Show the project choices already stored in status and let the user change one by re-entering the skill that owns it. Trigger when the user asks what we decided, what the current settings are, or to change a stored project choice.

What this skill tells your AI

The instructions your AI receives, as published by probabl-ai/skills in skills/review-ml-choices/SKILL.md and read by ahel’s review.

Show stored choices. A change loads the skill that already owns that decision. Do not write .skore or the journal from here.

Human-facing prose

Details: setup-workspace references/human_facing_prose.md. The board uses data-science labels: where reports go, executed notebooks, documentation site, git commits, who manages the environment, data analysis, and each filled framing cell (prediction goal, deployment, metric, fold count, and the others below). Do not put skill ids, G-* names, or the wrapper CLI in the question.

Sequence

  1. Run python -m skore_skills review choices. The JSON is the board. Do not rebuild which rows are offered. Do not run frame show or frame clear here.

  2. AskUserQuestion, one pick. Say first, in 2–4 lines, what a change authorizes — re-entering that setup, not a silent flag flip — and echo the current values from the JSON. A file link is an addition, never the context.

    Options are Keep these plus one option per changeable row and one option per framing row. read_only and not_offered are context, not options. Use each row's value. For not_offered, say that row's reason. When framing_reason is set, say it and do not offer framing rows.

  3. Keep these → stop. Do not load a skill.

  4. One changeable row → load that row's skill and stop. Do not policy set. Do not run the child's commands from memory.

    • skore_mode → the user asked to change where reports go.
    • notebooks_site → notebooks and the documentation site.
    • git_autocommit → the user asked to change that choice.
    • env_managed → do not run env add-skore here. If the recorded destination is hub or mlflow, do not use --mode local.
    • data_analysis when action is rerun → do not write a JOURNAL skipped row. The written analysis stays; the change is to run it again.
  5. One framing row → load frame-ml-problem naming that row's id. Do not blank the cell here.

  6. A request to change a read_only row: say that row's reason and stop. Do not load setup-workspace to rename. Do not policy set.

Stop conditions

  • Do not policy set any key.
  • Do not edit JOURNAL, including a Data understanding skipped row.
  • Do not load sync-ml-reports when policy.skore_mode is unset.
  • Do not env add-skore, git commit, or scaffold src/.
  • If the owning skill is not installed, show the value and skip the change in one line. Do not invent that skill's steps.

Signals

GitHub stars
132
Forks
9
Last commit
Sep 2026
Advanced
Item type
skill
Key
review-ml-choices
Source
github.com/probabl-ai/skills