idea-discovery

Generates a research-ready report with ranked ideas and refined proposals from a text description.

1|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/Lingrongye/federated-learning --skill idea-discovery-lingrongye
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-discovery
Source: https://github.com/Lingrongye/federated-learning/tree/main/Auto-claude-code-research-in-sleep/skills/idea-discovery
Command: npx skills add https://github.com/Lingrongye/federated-learning --skill idea-discovery-lingrongye

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates a complete idea discovery workflow from literature mapping to validated proposals, reducing manual curation of early-stage research directions.

Core Features & Use Cases

  • End-to-end pipeline: integrates literature survey, idea generation, novelty verification, and proposal refinement to produce ready-to-act plans.
  • Collaborative research support: suitable for teams exploring new topics, validating directions, and planning experiments with structured deliverables.
  • Output-oriented: generates an IDEA_REPORT.md with ranked ideas, refined proposals, and experiment plans.

Quick Start

Describe your research direction and constraints to begin.

Frequently Asked Questions about idea-discovery

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

FAQPage Schema
How do I automate an end-to-end research idea discovery workflow?

Automate idea discovery by orchestrating a workflow that integrates literature survey, idea generation, novelty verification, and proposal refinement into a structured pipeline. This produces ranked research directions and ready-to-act plans with automated iterative checks across multiple phases.

Can I set constraints like scope and budget for experiment planning?

Yes, you can set constraints such as scope, budget, and timelines. The workflow uses these parameters to guide literature mapping, idea generation, and proposal refinement, ensuring the experiment planning and generated reports align with your project limitations.

What is the best way to generate a structured literature survey and proposal?

Generate a structured literature survey and proposal by running the end-to-end idea-discovery pipeline. It automatically maps relevant literature, verifies novelty, and refines proposals, outputting a comprehensive IDEA_REPORT.md with ranked ideas and experiment plans.

Does this idea discovery workflow support applied research contexts?

Yes, the workflow is applicable to both academic and applied research contexts. It supports teams exploring new topics by validating directions and planning experiments, generating structured deliverables suitable for comprehensive pipeline management across various research environments.

How does novelty check verification work during idea generation?

Novelty checks work by running automated iterative evaluations across multiple phases of the pipeline. During idea generation, the workflow verifies generated concepts against the mapped literature survey to ensure proposed research directions are original before refining them into final proposals.