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.