Slash Commands
Slash commands are available inside the Feynman REPL. They map to research workflows, research-session utilities, and setup utilities. Type /help inside the REPL for Feynman’s curated live command list.
Research workflows
| Command | Description |
|---|---|
/deepresearch <topic> |
Run a thorough, source-heavy investigation and produce a research brief with inline citations |
/lit <topic-or-lab> |
Run a structured literature review with consensus, disagreements, open questions, and lab/PI corpus mode |
/review <artifact> |
Run an internal research review with severity-graded feedback and inline annotations |
/audit <item> |
Compare a paper’s claims against its public codebase for mismatches and reproducibility risks |
/replicate <paper> |
Plan a replication workflow for a paper, claim, or benchmark; execute only after choosing an environment |
/recipe <task-or-paper> |
Find ranked, implementable ML training recipes backed by papers, datasets, docs, and code |
/compare <topic> |
Compare multiple sources and produce an agreement/disagreement matrix |
/draft <topic> |
Generate a paper-style draft from research findings |
/autoresearch <idea> |
Start a bounded research experiment loop that iteratively optimizes against a benchmark |
/watch <topic> |
Create a research watch baseline and optionally schedule follow-up checks |
These are the primary commands you use during research runs. Workflow prompts can call specialized agents (researcher, reviewer, writer, verifier) through Pi’s subagent tool when delegation helps; narrow tasks stay lead-owned. ML recipe and replication runs can inspect Hugging Face dataset metadata, repo files, and small Hub files when grounding implementation plans.
Project and session
| Command | Description |
|---|---|
/log |
Write a durable session log with completed work, findings, open questions, and next steps |
/jobs |
Inspect visible research-run process/scheduler state and durable watch or experiment artifacts |
/help |
Show grouped Feynman commands and prefill the editor with a selected command |
/feynman-model |
Open the non-Pro model picker for the main default model and per-subagent overrides |
/init |
Bootstrap AGENTS.md and session-log folders for a new research project |
/outputs |
Browse all research artifacts (papers, outputs, experiments, notes) |
/btw <question> |
Ask a side question while the main research agent is busy and hand the result back when needed |
/thinking [level] |
View the current model thinking level, open a model-aware picker, or set off, minimal, low, medium, high, xhigh, or max directly |
/search |
Search prior research-session transcripts for past research and findings |
Session management commands help you organize ongoing work. The /log command is particularly useful at the end of a research session to capture what was accomplished and what remains.
The /feynman-model command opens an interactive picker that lets you either change the main non-Pro default model or assign a different non-Pro model to a bundled subagent like researcher, reviewer, writer, or verifier.
Running workflows from the CLI
All research workflow slash commands can also be run directly from the command line:
feynman deepresearch "topic"
feynman lit "topic"
feynman review artifact.md
feynman audit 2401.12345
feynman replicate "claim"
feynman recipe "fine-tune a small model for math reasoning"
feynman compare "topic"
feynman draft "topic"This is equivalent to launching the REPL and typing the slash command. The CLI form is useful for scripting and automation.
See ML Training Recipe for the /recipe workflow and Hugging Face Hub for the dataset and repo inspection tools used by recipe and replication runs.