Our AI co-author, from research problem to final publication.
ResearchStudio is a collection of skills covering the entire research lifecycle — from an under-specified research direction to a published paper. The skills run on Claude Code and Codex.
Presenting an all-in-one interactive reel.
IdeaSpark runs the full pipeline end-to-end.
News 🔥🔥🔥
- [2026-08-13]
featureIdeaSpark hands a dead end to the next attempt — an abandoned candidate now carries what passing would take: the condition any mechanism there needs, what is ruled out, and what to salvage. - [2026-08-13]
fixIdeaSpark audit guards can no longer stall a run — the re-check loops are bounded, and findings no compliant audit cleared route into the normal retry instead of repeating forever. - [2026-08-13]
featureIdeaSpark keeps the whole user query — the user query is persisted verbatim and read by every phase that reasons about intent; papers named in it without a link are resolved and deep-read; and a stated solution direction reaches idea selection, which must record whether it followed or departed from that direction, and why. - [2026-07-08]
releaseResearchStudio-Reel is released — the post-paper half: turn a finished paper PDF into the artifacts a publication needs — a print-ready poster, a narrated walkthrough video, a bilingual blog post, and an interactive reel viewer. - [2026-07-03]
releaseResearchStudio-Idea is released — the pre-paper half: turn an under-specified research direction into a reviewer-defensible, implementable idea, grounded in an empirical taxonomy induced from a large-scale corpus of ICLR / ICML / NeurIPS submissions.
Quick Start
We recommend creating an isolated environment first, using either conda or uv:
Option 1 — conda:
conda create -n researchstudio "python>=3.10" -y
conda activate researchstudioOption 2 — uv:
uv venv --python 3.10 source .venv/bin/activate # Windows PowerShell: .venv\Scripts\Activate.ps1
Then pick one of the two install paths below:
Option 1 — clone and run install.sh (installs native tools, Python deps, symlinks the skills from a local clone and scaffolds .env):
git clone https://github.com/microsoft/ResearchStudio.git && cd ResearchStudio bash install.sh
Option 2 — interactive npx installer (choose which plugins to install, enter your API keys when prompted, and it writes .env):
npx github:microsoft/ResearchStudio
For usage, see Idea and Reel. We recommend using these skills with model versions

