
Brainstorming Research Ideas
Run structured research ideation frameworks to turn vague curiosity into concrete, defensible research directions before committing to a project.
Install
npx skills add https://github.com/orchestra-research/ai-research-skills --skill brainstorming-research-ideasWhat is this skill?
- Ten complementary ideation lenses for comprehensive exploration
- Frameworks for new directions, pivots, stuck projects, and collaborator brainstorms
- Explicit boundaries: not for execution, experimental design, or literature review
- Combines individual lenses or stacks them for field gap analysis
- Defensible research proposals from half-formed ideas
Adoption & trust: 1 installs on skills.sh; 9.4k GitHub stars.
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Journey fit
Primary fit
Discovery is the first journey stop for exploring new problem spaces and gaps before validation or build. Discover is the canonical shelf because the skill targets moving from vague curiosity to concrete directions—not scoping a locked product or running experiments.
SKILL.md
READMESKILL.md - Brainstorming Research Ideas
# Research Idea Brainstorming Structured frameworks for discovering the next research idea. This skill provides ten complementary ideation lenses that help researchers move from vague curiosity to concrete, defensible research proposals. Each framework targets a different cognitive mode—use them individually or combine them for comprehensive exploration. ## When to Use This Skill - Starting a new research direction and need structured exploration - Feeling stuck on a current project and want fresh angles - Evaluating whether a half-formed idea has real potential - Preparing for a brainstorming session with collaborators - Transitioning between research areas and seeking high-leverage entry points - Reviewing a field and looking for underexplored gaps **Do NOT use this skill when**: - You already have a well-defined research question and need execution guidance - You need help with experimental design or methodology (use domain-specific skills) - You want a literature review (use `scientific-skills:literature-review`) --- ## Core Ideation Frameworks ### 1. Problem-First vs. Solution-First Thinking Research ideas originate from two distinct modes. Knowing which mode you are in prevents a common failure: building solutions that lack real problems, or chasing problems without feasible approaches. **Problem-First** (pain point → method): - Start with a concrete failure, bottleneck, or unmet need - Naturally yields impactful work because the motivation is intrinsic - Risk: may converge on incremental fixes rather than paradigm shifts **Solution-First** (new capability → application): - Start with a new tool, insight, or technique seeking application - Often drives breakthroughs by unlocking previously impossible approaches - Risk: "hammer looking for a nail"—solution may lack genuine demand **Workflow**: 1. Write down your idea in one sentence 2. Classify it: Is this problem-first or solution-first? 3. If problem-first → verify the problem matters (who suffers? how much?) 4. If solution-first → identify at least two genuine problems it addresses 5. For either mode, articulate the gap: what cannot be done today that this enables? **Self-Check**: - [ ] Can I name a specific person or community who needs this? - [ ] Is the problem I am solving actually unsolved (not just under-marketed)? - [ ] If solution-first, does the solution create new capability or just replicate existing ones? --- ### 2. The Abstraction Ladder Every research problem sits at a particular level of abstraction. Deliberately moving up or down the ladder reveals ideas invisible at your current level. | Direction | Action | Outcome | |-----------|--------|---------| | **Move Up** (generalize) | Turn a specific result into a broader principle | Framework papers, theoretical contributions | | **Move Down** (instantiate) | Test a general paradigm under concrete constraints | Empirical papers, surprising failure analyses | | **Move Sideways** (analogize) | Apply same abstraction level to adjacent domain | Cross-pollination, transfer papers | **Workflow**: 1. State your current research focus in one sentence 2. Move UP: What is the general principle behind this? What class of problems does this belong to? 3. Move DOWN: What is the most specific, constrained instance of this? What happens at the extreme? 4. Move SIDEWAYS: Where else does this pattern appear in a different field? 5. For each new level, ask: Is this a publishable contribution on its own? **Example**: - **Current**: "Improving retrieval accuracy for RAG systems"