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brainstorming

Creative exploration and brainstorming; use it when you need to clarify goals/constraints, explore multiple options, and converge on a direction before implementation.

Install / Use

npx skills add aipoch/medical-research-skills --skill brainstorming

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

88/100

Supported Platforms

Universal

Our assessment of brainstorming

brainstorming scores 88/100 on our quality scale, 176th of 409 Education & Research skills we index (top 44%).

Its SKILL.md is 3.7 KB long, well organised into 12 sections with 2 code examples: a solid amount of guidance for an agent.

With 1,916 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
18/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 15 days ago, so brainstorming is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-02. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

brainstorming compared with similar skills

All 4 of these similar skills score higher than brainstorming; compare them before choosing.

SkillScoreStarsUpdatedFormat
brainstorming (this skill)by aipoch881.9k15d agoSKILL.md
Agent-Reachby Panniantong10088.1k17d agoCLAUDE.md
last30days-skillby mvanhorn10063.4k1d agoCLAUDE.md
algorithmic-artby anthropics100177.9k10d agoSKILL.md
pptxby anthropics100177.9k10d agoSKILL.md

Frequently asked questions

How do I install brainstorming?
Run npx skills add aipoch/medical-research-skills --skill brainstorming. The install tabs above show the steps for each supported agent.
Which AI agents does brainstorming work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is brainstorming safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is brainstorming still maintained?
The repository was last updated 15 days ago, so brainstorming is actively maintained.

name: brainstorming description: Creative exploration and brainstorming; use it when you need to clarify goals/constraints, explore multiple options, and converge on a direction before implementation. license: MIT author: AIPOCH

Source: https://github.com/aipoch/medical-research-skills

When to Use

  • You have a vague idea and need to clarify goals, scope, and constraints before committing to a plan.
  • You want to generate multiple solution directions for a problem and compare trade-offs.
  • You need to break down a complex problem into smaller, actionable parts.
  • You’re stuck and need alternative approaches, assumptions to challenge, or fresh angles.
  • You want to converge from many ideas into a prioritized shortlist and define next steps.

Key Features

  • Goal and boundary clarification (objectives, constraints, success criteria).
  • Structured ideation to produce multiple distinct options.
  • Problem decomposition into components, subproblems, and decision points.
  • Evaluation and convergence (trade-offs, risks, feasibility, impact).
  • Actionable next steps (experiments, prototypes, questions to validate).
  • Reference workflow support via references/brainstorming-workflow.md.

Dependencies

  • None

Example Usage

Prompt

I want to build a feature that helps users learn faster in our app, but I’m not sure what exactly to build.
Constraints: 2-week implementation, no new backend services, must work on mobile.
Goal: increase weekly retention.
Please brainstorm options, compare them, and recommend a direction with next steps.

Expected Output Structure (Runnable Template)

## 1) Clarify Goals & Boundaries
- Primary goal: increase weekly retention
- Constraints: 2-week build, no new backend services, mobile-first
- Success metrics: retention uplift, feature adoption, session frequency

## 2) Generate Options (Diverge)
1. **Spaced repetition reminders**
   - What it is: ...
   - Why it helps: ...
2. **Daily micro-challenges**
   - What it is: ...
   - Why it helps: ...
3. **Progress-based streaks + milestones**
   - What it is: ...
   - Why it helps: ...
4. **Personalized review queue (client-side)**
   - What it is: ...
   - Why it helps: ...

## 3) Compare & Evaluate
| Option | Effort | Risk | Expected impact | Notes |
|---|---:|---:|---:|---|
| Spaced repetition reminders | Medium | Low | Medium | ... |
| Daily micro-challenges | Medium | Medium | High | ... |
| Streaks + milestones | Low | Low | Medium | ... |
| Client-side review queue | Medium | Medium | Medium | ... |

## 4) Converge on a Recommendation
- Recommended direction: **Daily micro-challenges**
- Rationale: ...
- Key assumptions to validate: ...

## 5) Next Steps
- Prototype: ...
- Instrumentation: ...
- A/B test plan: ...
- Open questions: ...

Implementation Details

  • Workflow: Follow the structured process described in references/brainstorming-workflow.md:

    1. Clarify goals, constraints, and success criteria.
    2. Diverge: generate multiple distinct options (avoid premature convergence).
    3. Decompose: break options into components and required decisions.
    4. Evaluate: compare trade-offs (impact, effort, risk, feasibility).
    5. Converge: select a direction and define concrete next steps.
  • Core parameters to capture

    • Goal: what outcome to optimize (e.g., retention, cost, latency, satisfaction).
    • Constraints: time, budget, platform, compliance, dependencies.
    • Evaluation criteria: impact, effort, risk, reversibility, time-to-value.
    • Assumptions: what must be true for the chosen direction to work.
    • Next-step artifacts: shortlist, decision rationale, experiment plan, open questions.

Related Skills

View on GitHub
GitHub Stars1.9k
CategoryEducation
Updated15d ago
Forks175

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions