idea
Use when a quest needs concrete hypotheses, limitation analysis, candidate directions, or a selected idea relative to the active baseline.
Best for Research paper developmentWorks with GitHubLow risk
⌘source
- author
@ResearAI- language
- TypeScript
★2.3kstars
245forks
Apr 19, 2026
✦overview.md
Key Features
- ·Turns baseline and problem frame into testable research directions
- ·Focuses on selecting next executable route over brainstorming volume
- ·Hands off to optimize skill when concrete optimization handle exists
- ·Produces small method-brief frontier for algorithm-first cases
- ·Clarifies bottlenecks and constraints before handoff
Use Cases
- →Research teams needing structured ideation for paper-oriented projects
- →Development teams with concrete optimization handles requiring brief handoff to optimize skill
- →Projects requiring literature-grounded, testable directions from existing baselines
Best for
- ✓Research paper development
- ✓Algorithm optimization workflows
Not ideal for
- !Unstructured brainstorming sessions
- !Projects without existing baseline or problem frame
FAQs
name
idea
description
Use when a quest needs concrete hypotheses, limitation analysis, candidate directions, or a selected idea relative to the active baseline.
skill_role:stage
Idea
Use this skill to turn the current baseline and problem frame into concrete, literature-grounded, testable directions. The goal is to choose the next executable research route, not to maximize brainstorming volume.
When startup_contract.need_research_paper = false and the quest already has a concrete optimization handle, idea may stop after selecting or seeding a direction and then hand off into optimize instead of insisting on the full paper-oriented ideation loop.
In that algorithm-first case, idea should usually produce a small method-brief frontier and then defer candidate ranking, promotion, and bounded search to optimize.
When doing that handoff, prefer the brief-shaping discipline later used by optimize: clarify the bottleneck and constraints, keep only a small differentiated 2-3 option slate, and hand off a recommended brief rather than a pile of loose intuitions.
Interaction discipline
- Follow the shared interaction contract injected by the system prompt.
$install
1-click copynpx skills add ResearAI/DeepScientist --skill ideaSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
3/ 5
goodMostly clear, but there are still a few confusing or poorly structured parts.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
3/ 5
mediumPartially actionable with several concrete steps, but still missing important details.