agentleFS
freemtyfreemty/labmate/skills/new-experiment/SKILL.md

new-experiment

Skill25 starsChanged 2 months agoMITView on GitHub

Use when starting a new experiment or creating a variant of an existing `expNNx` run. Triggers on "new experiment", "新实验", "scaffold exp", "set up experiment", "create experiment".

1 other project uses a version of this.

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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. Distinctive:

    Use the bundled scaffold interface so experiment naming, files, summary rows, and pipeline state stay consistent.

    line 9
  2. Very specific:

    Never reuse an existing experiment directory.

    line 26

≈ “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

New Experiment

Use the bundled scaffold interface so experiment naming, files, summary rows, and pipeline state stay consistent.

  1. Establish a one-line motivation and optional parent. Infer the next ID unless the user supplied one.
  2. Resolve <plugin-root> and preview:

    python3 <plugin-root>/scripts/new_experiment.py plan \
      --motivation "<motivation>" [--parent expNNx] [--exp-id expNNx]
  3. Confirm only if the proposed ID or parent is ambiguous. Rerun with apply, then check using the returned experiment ID.
  4. Report the new paths and exact launch command. Monitoring remains a separate one-shot workflow.

Never reuse an existing experiment directory. A parent config may be copied, but code and results are not. Generated run.py refuses a live run until its experiment body is implemented.

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