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idea-discovery

Automates research idea discovery from literature surveys to validated experiment plans for ML workflows.

14.4k|1.3k|Updated Mar 10, 2026
Search Tags:#research#idea generation#experiment planning#literature review#ml research#novelty check
One-click install
npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill idea-discovery
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: idea-discovery
Source: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/idea-discovery
Command: npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill idea-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the entire process of discovering novel research ideas, from initial literature surveys to generating and validating concrete proposals.

Core Features & Use Cases

  • End-to-End Idea Generation: Orchestrates multiple sub-skills to move from a broad research direction to a refined experiment plan.
  • Automated Literature Review: Maps the research landscape to identify gaps and opportunities.
  • Novelty Checking & Validation: Ensures ideas are original and empirically supported through pilot experiments.
  • Critical Feedback Loop: Incorporates rigorous review from advanced LLMs to strengthen ideas.
  • Use Case: A researcher wanting to explore a new area in AI safety can use this skill to get a ranked list of novel, validated research ideas with detailed experiment plans, ready for implementation.

Quick Start

Use the idea discovery skill to find new research ideas for the topic of "explainable AI".

Frequently Asked Questions about idea-discovery

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

FAQPage Schema
How do I automate literature review and research idea generation for ML research?▼

Automating literature review and research idea generation involves mapping the research landscape to identify gaps, then generating validated proposals. This Skill orchestrates that full pipeline, delivering refined experiment plans ready for implementation.

What is the best way to check research idea novelty before starting an experiment?▼

Checking research idea novelty requires evaluating generated concepts against existing literature to ensure originality. This Skill performs automated novelty checks and incorporates critical feedback from advanced LLMs to validate and strengthen your proposals.

Can I use autonomous workflows to generate pilot-tested experiment plans?▼

Yes, you can use autonomous workflows to generate pilot-tested experiment plans. By orchestrating literature surveys, idea generation, and empirical pilot tests, the workflow outputs a refined proposal with concrete experiment steps.

How do I plan experiments for a broad AI research direction?▼

Planning experiments for a broad AI research direction requires moving from general topics to validated, specific proposals. This Skill automates that transition, mapping the landscape and refining methods into a detailed experiment plan.

Does this research idea discovery process support critical feedback loops?▼

Yes, the research idea discovery process supports critical feedback loops. It incorporates rigorous critical reviews from advanced LLMs to evaluate and strengthen generated ideas, ensuring final proposals are empirically supported and robust.

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