idea-discovery

Generate and validate research ideas with novelty checks and proposal outputs.

1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/tqLi99/claude-skills-for-writing --skill idea-discovery-tqli99
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: idea-discovery
Source: https://github.com/tqLi99/claude-skills-for-writing/tree/main/idea-discovery
Command: npx skills add https://github.com/tqLi99/claude-skills-for-writing --skill idea-discovery-tqli99

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turns a broad direction into a concrete, validated research idea with a clear problem anchor, novelty assessment, and a ready-to-use proposal.

Core Features & Use Cases

  • Landscape mapping to identify 2-4 meaningful sub-directions and key constraints.
  • Candidate idea generation with problem anchors, feasibility estimates, and success criteria.
  • Novelty check and external critique to sharpen direction and surface risks.
  • Handoff to /experiment-pipeline with ready-to-execute proposal artifacts.

Quick Start

Provide a broad topic or problem area to begin literature mapping, candidate ideas, novelty checks, and a final proposal.

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 topic into a validated proposal?▼

To turn a broad research topic into a validated proposal, you map the literature landscape, generate candidate ideas with problem anchors, and perform a novelty check to crystallize a ready-to-use experiment proposal.

What is the best way to check research idea novelty before writing a proposal?▼

Checking research idea novelty involves mapping the landscape to identify sub-directions and constraints, then applying external critique to generated candidate ideas to surface risks and sharpen the final proposal direction.

Can I generate actionable research ideas from a general problem area?▼

Yes, you can generate actionable research ideas from a general problem area by mapping the domain landscape to identify 2-4 meaningful sub-directions and generating candidates equipped with feasibility estimates and success criteria.

How does landscape mapping work for early stage research projects?▼

Landscape mapping for early stage research works by identifying meaningful sub-directions and key constraints within a broad topic, providing the structural foundation needed to generate and validate candidate research ideas.

Does this research validation workflow require any specific input data?▼

This research validation workflow requires no specific dependencies or input data formats; you simply provide a broad topic or problem area to initiate the deterministic process of literature mapping and proposal generation.

What outputs do I get from an automated idea generation and validation workflow?▼

The outputs from an idea generation and validation workflow include an IDEA_REPORT.md detailing the mapped landscape and validated candidates, and a FINAL_PROPOSAL.md artifact ready for execution in an experiment pipeline.