ds-idea

Generate and select literature-grounded research directions from an active baseline and codebase.

1.1k|116|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/OpenLAIR/dr-claw --skill ds-idea
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ds-idea
Source: https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-idea
Command: npx skills add https://github.com/OpenLAIR/dr-claw --skill ds-idea

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Research ideation often collapses onto the first plausible idea or produces vague inspiration that cannot survive novelty, feasibility, and manuscript-defensibility checks. This Skill turns an active baseline, codebase, and evaluation contract into concrete, testable, literature-grounded research directions with explicit tradeoffs.

Core Features & Use Cases

  • Bounded divergent-convergent ideation: Generates 6-12 raw candidate ideas using deliberate ideation lenses, then converges to a serious frontier of 2-3 differentiated candidates.
  • Mandatory literature grounding: Enforces a durable survey of at least 5-10 related papers with closest-prior-work tables and explicit novelty verdicts before any direction is promoted.
  • Structured handoff: Produces durable artifacts (limitations analysis, literature survey, selected idea draft, outline seed) and a falsifiable claim with minimal experiment and abandonment condition for the experiment stage.
  • Use Case: After establishing a baseline for a machine learning task, use this Skill to analyze failure modes, sweep arXiv for competing methods, rank candidate directions, and select one defensible research idea ready for experimentation.

Quick Start

Use the ds-idea skill to analyze the current baseline's limitations, survey related work, and select the next research direction for this quest.

Frequently Asked Questions about ds-idea

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

FAQPage Schema
How do I generate research ideas from an existing baseline?

Start from a concrete limitation of the baseline, split symptom from mechanism hypothesis, then run a bounded divergent pass producing 6-12 raw ideas across 2-4 ideation lenses. Converge to 2-3 serious candidates and select one with an explicit evidence-based decision path.

How many papers should a literature survey cover before selecting a research idea?

The survey must durably cover at least 5 and usually 5-10 task-relevant or mechanism-relevant papers before any direction is promoted. If the direct neighborhood is smaller, fill remaining slots with the closest adjacent translatable work and record that explicitly.

When should I not use the idea stage in a research workflow?

Skip it when the baseline gate is unresolved, the problem framing is still unclear, or the next step is obviously write-up or finalization. In those cases route back to baseline or scout stages first.

How do I check whether a research idea is novel?

Build a closest-prior-work table comparing mechanism, task, dataset, and metric overlap, then assign each candidate a verdict of novel, incremental but valuable, or not sufficiently differentiated. Never claim novelty without a written related-work comparison.

What artifacts does the idea stage produce for the experiment handoff?

It produces a limitations analysis, literature survey report, related-work map, candidate list, selected idea draft, and optionally a paper outline seed. The handoff includes a falsifiable claim, metric key, minimal experiment, abandonment condition, and strongest alternative hypothesis.