idea-discovery

Orchestrate research idea discovery from direction to pilot-tested experiment plans.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/Shallow-W/llm-wiki --skill idea-discovery-shallow-w
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-discovery
Source: https://github.com/Shallow-W/llm-wiki/tree/main/.claude/skills/idea-discovery
Command: npx skills add https://github.com/Shallow-W/llm-wiki --skill idea-discovery-shallow-w

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you go from an initial research direction to a set of validated, pilot-tested ideas by orchestrating literature review, idea generation, novelty verification, and critical review.

Core Features & Use Cases

  • Full idea discovery pipeline: chains research-lit → idea-creator → novelty-check → research-review → research-refine-pipeline into one workflow.
  • Checkpointed validation with pilots: generates ranked ideas, runs limited parallel pilot experiments, then deep-checks novelty and refines the best proposal into an experiment plan.
  • Optional reference-paper anchoring: when you provide a reference paper, it summarizes it first and steers idea generation to improve or extend that work.
  • Use case: when you are starting from scratch or need a complete “find ideas” workflow, including pilots and a concrete next-step plan.

Quick Start

Run the full pipeline for your topic by executing: /idea-discovery "your research direction"

Frequently Asked Questions about idea-discovery

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

FAQPage Schema
How do I find and validate research ideas from a broad direction?

To find and validate research ideas, this Skill orchestrates an end-to-end pipeline chaining literature review, idea generation, novelty verification, and critical review into ranked reports with pilot experiments.

How do I generate research ideas based on an existing arxiv paper?

You can generate research ideas from a reference paper by providing it during initialization. The workflow summarizes the paper first and steers idea generation to improve or extend that specific work.

What is the best way to plan pilot experiments during idea discovery?

The best way to plan pilot experiments during idea discovery is using a checkpointed validation workflow that enforces GPU and pilot budgets, running limited parallel pilots before refining the top proposal.

Can I refine a research proposal into an experiment plan automatically?

Yes, you can refine a research proposal into an experiment plan automatically. After deep-checking novelty, the workflow writes refined outputs for the top-ranked idea into a concrete next-step plan.

Do I need to run literature review and novelty verification separately for research planning?

No, you do not need to run literature review and novelty verification separately for research planning. The pipeline chains these sub-skills together, executing the full discovery workflow from a single command.

What are the GPU budget limitations when running parallel pilot experiments?

Parallel pilot experiments are constrained by enforced pilot and GPU budgets to limit resource consumption. This checkpointed validation ensures only the top-ranked ideas undergo deep novelty checks and proposal refinement.