skills/ml-training-recipe/SKILL.md
Find implementable ML training recipes from papers, datasets, docs, and code. Use when the user wants to fine-tune, train, reproduce, or choose a practical ML method, dataset, hyperparameter setup, or benchmark recipe.
npx skillsauth add getcompanion-ai/feynman ml-training-recipeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Run the /recipe workflow. The slash command expands the full workflow instructions in the active session; do not try to read a relative prompt-template path from the installed skill directory.
Agents used: researcher, optionally verifier
Output: ranked recipe brief in outputs/ with dataset, method, code, and source provenance.
development
Call a configured Feynman model endpoint and interpret its response. Use when a task needs inference from a registered endpoint, remote model API, local model service, or custom connector-backed predictor.
data-ai
Design or screen protein sequences for solubility-aware constraints with SolubleMPNN-style workflows. Use when a task asks for soluble protein design, expression-friendly variants, or solubility risk filtering.
data-ai
Create or revise Feynman skills. Use when a research workflow needs a reusable on-demand capability, skill metadata, trigger wording, references, scripts, or skill validation.
tools
Inspect the active Feynman workbench session, artifacts, execution log, settings, and provenance. Use when the task asks what happened in this session, which files were written, what tools ran, or what remains unverified.