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research-brainstorm

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Atualizado3 de março de 2026 às 03:33

Brainstorm follow-up research ideas from papers. Use when asked to generate research directions or ideas.

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jusjinuk

jusjinuk/internbot

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Professores de antropologia e arqueologia do ensino superiorEducação e Biblioteconomia·SOC 25-1061

SKILL.md

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name	research-brainstorm
description	Brainstorm follow-up research ideas from papers. Use when asked to generate research directions or ideas.

Research Brainstorming

When to use

User says "what could we do next based on this paper?"
User asks for research directions, follow-ups, or extensions
User wants to identify gaps in existing work

Workflow

Understand the paper deeply before brainstorming
- What's the core contribution? What's actually new?
- What assumptions does it rely on?
- What did they NOT do, and why?
- What are the stated limitations?
Identify gaps from multiple angles:
- Methodology: can the approach be applied to different domains/modalities?
- Scale: does it work at 10x/100x the tested scale?
- Assumptions: what happens when key assumptions are relaxed?
- Combination: can this be combined with orthogonal recent work?
- Failure modes: where does the method break down?
Generate 3-5 concrete research directions, each with:
- One-line description: specific and actionable
- Gap: what's missing in the current work that this addresses
- Approach sketch: 2-3 sentences on how you'd actually do it
- Feasibility: easy (weeks, existing tools) / moderate (months, some new infrastructure) / hard (6+ months, fundamental challenges)
- Resources needed: data, compute, specific expertise
Quality bar: every idea must be specific enough to start working on
- Bad: "improve the model's performance"
- Bad: "apply to other domains"
- Good: "replace the cross-attention in the fusion module with a mixture-of-experts gate, since the current design scales quadratically with the number of modalities — test on the AudioSet + ImageNet joint benchmark"
Prioritize by the intersection of novelty and feasibility — the best ideas are those that are clearly doable and clearly haven't been done

Formatting for Slack

Number the ideas
Bold the one-line description
Keep feasibility assessments honest — don't oversell
If an idea requires specific expertise the lab may not have, say so

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name	research-brainstorm
description	Brainstorm follow-up research ideas from papers. Use when asked to generate research directions or ideas.

Research Brainstorming

When to use

User says "what could we do next based on this paper?"
User asks for research directions, follow-ups, or extensions
User wants to identify gaps in existing work

Workflow

Understand the paper deeply before brainstorming
- What's the core contribution? What's actually new?
- What assumptions does it rely on?
- What did they NOT do, and why?
- What are the stated limitations?
Identify gaps from multiple angles:
- Methodology: can the approach be applied to different domains/modalities?
- Scale: does it work at 10x/100x the tested scale?
- Assumptions: what happens when key assumptions are relaxed?
- Combination: can this be combined with orthogonal recent work?
- Failure modes: where does the method break down?
Generate 3-5 concrete research directions, each with:
- One-line description: specific and actionable
- Gap: what's missing in the current work that this addresses
- Approach sketch: 2-3 sentences on how you'd actually do it
- Feasibility: easy (weeks, existing tools) / moderate (months, some new infrastructure) / hard (6+ months, fundamental challenges)
- Resources needed: data, compute, specific expertise
Quality bar: every idea must be specific enough to start working on
- Bad: "improve the model's performance"
- Bad: "apply to other domains"
- Good: "replace the cross-attention in the fusion module with a mixture-of-experts gate, since the current design scales quadratically with the number of modalities — test on the AudioSet + ImageNet joint benchmark"
Prioritize by the intersection of novelty and feasibility — the best ideas are those that are clearly doable and clearly haven't been done

Formatting for Slack

Number the ideas
Bold the one-line description
Keep feasibility assessments honest — don't oversell
If an idea requires specific expertise the lab may not have, say so