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research-pipeline

Run autonomous research pipelines from idea discovery to paper draft.

2|1|Updated Apr 19, 2026
Search Tags:#code generation#multi-agent#literature review#review loop#paper writing#experiment execution#autonomous research
One-click install
npx skills add https://github.com/raja21068/AutoResearch --skill research-pipeline-raja21068
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-pipeline
Source: https://github.com/raja21068/AutoResearch/tree/main/skills/aris/research-pipeline
Command: npx skills add https://github.com/raja21068/AutoResearch --skill research-pipeline-raja21068

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the bottleneck of turning a vague research direction into validated experiments and a structured paper by chaining discovery, implementation, execution, review, and optional writing.

Core Features & Use Cases

  • End-to-end autonomous research lifecycle: runs idea discovery, implementation, experiment deployment, auto-review iterations, and optional paper writing.
  • Execution-grounded validation: routes through experiment runs and an adversarial review loop to improve results rather than relying on text-only generation.
  • Paper handoff ready for publication: generates a narrative report and can compile a LaTeX/PDF paper for a specified venue.

Quick Start

Run the full autonomous pipeline by sending: /research-pipeline "your research direction — AUTO_PROCEED: true, auto_write: false".

Frequently Asked Questions about research-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate the end-to-end research lifecycle from idea generation to paper writing?▼

Automated research pipelines chain idea discovery, experiment execution, and an adversarial review loop to convert broad research directions into validated outputs and structured paper drafts. Configurable gates like AUTO_PROCEED and AUTO_WRITE control the workflow stages.

What is execution-grounded validation in autonomous research workflows?▼

Execution-grounded validation routes research ideas through actual experiment runs and an automated review-and-fix loop rather than relying on text-only generation. This ensures experimental results are validated before producing a publication-ready paper draft.

How do I generate a publication-ready paper draft from a vague research direction?▼

Multi-agent research pipelines transform vague directions into publication-ready drafts by generating handoff artifacts like IDEA_REPORT.md and NARRATIVE_REPORT.md, optionally compiling a LaTeX/PDF paper for a specified venue when AUTO_WRITE is enabled.

Can I run a literature review and experiment deployment without manual intervention?▼

Yes, autonomous research workflows support literature review and experiment execution without manual intervention by setting AUTO_PROCEED to true. HUMAN_CHECKPOINT gates can be configured if manual review is needed between pipeline stages.

Does the automated review loop improve experiment results before paper writing?▼

The automated review loop applies adversarial review iterations to improve experiment results before paper writing. It generates an AUTO_REVIEW.md artifact and runs a review-and-fix cycle to validate and refine outputs.

What are the limitations of using multi-agent pipelines for autonomous research?▼

Multi-agent autonomous research pipelines require configurable gates to manage workflow stages and may need human checkpoints for complex validation. The pipeline relies on execution-grounded experiments, so insufficient experiment design can limit output quality.

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