skills/peer-review/SKILL.md
Simulate a tough but constructive peer review of an AI research artifact. Use when the user asks for a review, critique, feedback on a paper or draft, or wants to identify weaknesses before submission.
npx skillsauth add getcompanion-ai/feynman peer-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Run the /review 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, reviewer
Output: structured review in outputs/.
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.