idea-discovery

Convert research directions into validated, ranked, pilot-tested ideas with novelty checks.

2|1|Updated Apr 19, 2026
One-click install
npx skills add https://github.com/raja21068/AutoResearch --skill idea-discovery-raja21068
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-discovery
Source: https://github.com/raja21068/AutoResearch/tree/main/skills/aris/idea-discovery
Command: npx skills add https://github.com/raja21068/AutoResearch --skill idea-discovery-raja21068

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps turn a broad research direction into concrete, novelty-verified, pilot-tested ideas instead of relying on text-only brainstorming.

Core Features & Use Cases

  • Multi-phase idea discovery pipeline: runs a full chain of literature survey, idea creation, novelty checking, critical review, and method refinement.
  • Execution-grounded validation: pilots only the top ideas within defined GPU time budgets to prioritize empirically promising directions.
  • Structured outputs for next steps: produces an idea-stage/IDEA_REPORT.md plus refined proposal and an experiment plan for implementation.

Quick Start

Use the idea-discovery workflow for your topic by running: /idea-discovery "your research direction" and follow the checkpoints to approve, refine, or regenerate ideas.

Frequently Asked Questions about idea-discovery

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

FAQPage Schema
How do I turn a broad research direction into a validated research idea?

To turn a broad research direction into a validated idea, the idea-discovery pipeline orchestrates a multi-phase workflow including literature survey, idea creation, novelty verification, critical review, and method refinement to output empirically grounded proposals.

What is the best way to verify research idea novelty before running experiments?

The best way to verify research idea novelty is using a structured pipeline that applies multi-stage filtering and a dedicated novelty-check phase against existing literature, ensuring your proposal is distinct before committing GPU pilot budgets.

How do I plan research experiments with constrained GPU time budgets?

You can plan research experiments with constrained GPU time budgets by using an execution-grounded validation process that pilots only the top-ranked ideas within defined computational limits, generating a structured experiment plan for implementation.

Can I get reviewer feedback on a research proposal before implementation?

Yes, you can get reviewer feedback on a research proposal before implementation by running the multi-agent idea discovery workflow, which includes a critical review stage to refine methods and identify weaknesses prior to execution.

How do I structure a literature survey for a multi-agent research pipeline?

To structure a literature survey for a multi-agent research pipeline, apply the research-lit grounding phase which feeds into downstream idea creation and novelty checking, ensuring your experiment planning is anchored in existing research.