Orchestrate multi-stage research workflows with resumable progress and asynchronous experiment execution.
npx skills add https://github.com/skyllwt/AutoSci --skill research-skyllwt
Please help me install this Agent Skill. Skill: research Source: https://github.com/skyllwt/AutoSci/tree/main/.claude/skills/research Command: npx skills add https://github.com/skyllwt/AutoSci --skill research-skyllwt
It eliminates the manual, error-prone work of planning and running an entire research cycle from idea generation through experiments to a paper-ready output.
Run the full pipeline by providing a one-sentence research direction and enabling auto mode: /research "sparse LoRA for edge devices" --auto --venue ICLR
High-intent search queries and answers about installing and using this skill.
A research pipeline coordinates end-to-end stages from idea discovery through experiment execution to paper-ready output. It orchestrates sub-skills for ideation, experiment design, deployment, and evaluation, while persisting progress to enable session recovery.
You can resume an interrupted research workflow by utilizing built-in state recovery. The pipeline saves progress to a persistent markdown file, allowing you to restart asynchronous experiment collection without losing prior stage gating results.
Non-blocking experiment deployment is handled through asynchronous execution within pipeline orchestration. You can deploy experiments and collect results later, enabling coordinated multi-stage workflows without halting overall research progress.
The pipeline supports skipping paper writing while still evaluating experiment results. You can run orchestration to generate experiment verdicts and iterate, optionally excluding paper drafting and refinement stages from the workflow.
You can execute a complete research workflow by providing a one-sentence research direction and enabling auto mode. This triggers the pipeline to autonomously coordinate idea discovery, experiment execution, and paper compilation.
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