discover-research-idea

Converts a broad research direction into one literature-grounded, experimentally testable idea.

Updated Aug 18, 2026
One-click install
npx skills add https://github.com/Nitrogen216/awesome-dsh-mods --skill discover-research-idea-nitrogen216
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: discover-research-idea
Source: https://github.com/Nitrogen216/awesome-dsh-mods/tree/main/modes/dsh-autoresearch/skills/discover-research-idea
Command: npx skills add https://github.com/Nitrogen216/awesome-dsh-mods --skill discover-research-idea-nitrogen216

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Starting from a vague research direction often leads to unfocused brainstorming, untested ideas, and wasted compute. This Skill anchors the problem first, establishes a measurable baseline, and narrows the direction to a single falsifiable, literature-grounded idea before any experimentation begins. ## Core Features & Use Cases - Problem Anchoring: Freezes one problem, one primary metric, one evaluation setting, and a compute bound in a PROBLEM_ANCHOR.md file before generating ideas. - Baseline Establishment: Identifies the strongest runnable reference implementation and measures a reproducible baseline before proposing any new method. - Guided Idea Selection: Ranks mapped candidate ideas by failure match, evidence, falsifiability, and screening cost, then tests one candidate at a time. - Use Case: A researcher says "explore improving retrieval quality for long-context QA." The Skill anchors the metric and budget, measures the existing baseline, deep-reads the nearest literature, and carries one selected idea through experiments and optionally a paper. ## Quick Start Ask the agent to use discover-research-idea to turn your broad research direction into one literature-grounded, experimentally tested idea.

Frequently Asked Questions about discover-research-idea

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

FAQPage Schema
How do I turn a broad research direction into a testable idea?▼

Anchor the problem first by fixing one objective, one primary metric, one evaluation setting, and a compute bound. Then measure a runnable baseline, map candidate ideas from the nearest literature, and test one candidate at a time against that baseline.

How does the skill choose which research idea to pursue?▼

Candidates are ranked by match to the measured baseline failure, strength of source evidence, distinct contribution, falsifiability, and screening cost. A targeted closest-work check is required before selecting, and only one candidate is implemented and trained at a time.

What happens if no runnable baseline exists for my research direction?▼

The skill reports the concrete missing dependency instead of fabricating an idea ranking. A reproducible baseline under the anchored protocol is required before any candidate idea is evaluated.

When should I use this skill instead of brainstorming ideas directly?▼

Use it when the direction lacks an established runnable method and you need evidence-bounded selection. It avoids large parallel brainstorms by grounding every candidate in measured failures and literature evidence.

Can this skill carry a research idea through to a full paper?▼

Yes, but only when the original objective explicitly requests a manuscript or full research-to-paper lifecycle. Otherwise the deliverable defaults to a validated method, and paper writing is handed off as a separate stage.