Researchforge Start

Start or resume a ResearchForge project

ResearchForge is a local CLI: Claude proposes (queries, syntheses, patches); the Python engine validates, executes, and records. Every command supports --json — prefer it and read the structured output instead of parsing prose.

Resume an existing project

Always check state first:

researchforge status --json

The next_action field names the exact next command. Follow it — the engine tracks the pipeline (papers → landscape → hypotheses → contract → baseline → experiments → validation → shipping) and will not let steps run out of order. Summarize where the project stands from the JSON counts, then invoke the matching skill (researchforge-papers, researchforge-baseline, …).

Start a new project

0. Ask where the project should live. ResearchForge is directory-scoped: the database, worktrees, artifacts, and dashboard all live under the directory you run it in — any folder works, it does not have to be a repository you already opened. If the user names a folder (e.g. "do all experiments at ~/Desktop/some_new_folder"), either cd there or prefix every command with researchforge -C <folder> …. Confirm the location back to the user; researchforge paths prints the full map afterwards. Commands run in a subfolder of a project walk up to the project root automatically (a Using project at <root> note appears on stderr). Tell the user their project appears in the hub at http://127.0.0.1:9000 (all projects on the machine, with folder locations).
1. Ask the user which journey they want:
   • Explore a research idea — literature search, landscape, hypotheses, citation-backed report. Mode: explore_research_idea.
   • Improve a repository — everything above plus a frozen baseline and benchmarked experiments on their code. Mode: improve_repository.
2. Ask for a one-sentence objective (for improve_repository it should name the metric to improve, e.g. "Improve classification F1 without increasing latency").
3. Run:

researchforge doctor --json
researchforge project create --mode <mode> --objective "<objective>" --json

4. For improve_repository, also scan the repository:

researchforge repo scan . --json

5. Report what was created and follow researchforge status --json → next_action into the next skill.

Rules

• The Python engine is the boundary: never work around a validation error, a protected path, or an approval gate — fix the artifact or ask the user.
• Approvals belong to the user: never pass --yes or type a confirmation unless the user explicitly approved that step in this conversation.
• Ground every summary in stored data: quote only numbers returned by --json output or files under .researchforge/ — never invent metrics.