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Agent skill

Brainstorming

by aipoch in aipoch/medical-research-skills

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

MITAuto-check passedAgent Workflows

Install Brainstorming

skills CLI
$ npx skills add aipoch/medical-research-skills --skill brainstorming -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills brainstorming --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/brainstorming .claude/skills/brainstorming && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
brainstorming
GitHub stars
2k
Token cost
~945 tokens
SKILL.md length
230 words
Files
3 (incl. references)
Skills in repo
567
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 5 steps: Clarify goals, constraints, and success… → Diverge: generate multiple distinct… → Decompose: break options into components… → …
  • You need to clarify goals/constraints
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Brainstorming is an agent skill from aipoch/medical-research-skills. Creative exploration and brainstorming; use it when you need to clarify goals/constraints, explore multiple options, and converge on a direction before implementation.

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `brainstorming_audit_result_v1.json` and `references/brainstorming-workflow.md`).

It sits in Agent Workflows, covering Brainstorming. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • You need to clarify goals/constraints
  • Explore multiple options
  • Converge on a direction before implementation

Example prompts

  • “/brainstorming”

Workflow steps

5 steps, taken from the first numbered list in SKILL.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.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Brainstorming loads about 945 tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~945
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 230 words, ~945 tokens.

Download SKILL.mdSave it as .claude/skills/brainstorming/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
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
text
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)
markdown
## 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.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in scientific-skills/Other/brainstorming of aipoch/medical-research-skills.

  • SKILL.md
  • brainstorming_audit_result_v1.json
  • references/brainstorming-workflow.md

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Brainstorming next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Brainstorming compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Brainstorming this skillaipoch/medical-research-skills2k—~945Automated safety check: PassMIT
Brainstormingxpinjection/test-driven-spring-boot11254 repos~2.6kAutomated safety check: PassMIT
LLM Councilgcpdev/llm-council-skill4611 repos~1kAutomated safety check: NotesMIT
Typesafe AIOpenAgentsInc/openagents4559 repos~2.5kAutomated safety check: PassMIT
Yao Meta Skillyaojingang/yao-meta-skill2.7k—~768Automated safety check: PassMIT
Trellis StartROYIANS/foliq-print-template-designer1356 repos~646Automated safety check: PassMIT

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Categories

Questions about Brainstorming

What does Brainstorming do?

Creative exploration and brainstorming; use it when you need to clarify goals/constraints, explore multiple options, and converge on a direction before implementation. Brainstorming is an agent skill from aipoch/medical-research-skills. Creative exploration and brainstorming; use it when you need to clarify goals/constraints, explore multiple options, and converge on a direction before implementation.

When should I use Brainstorming?

Brainstorming fits situations like: you need to clarify goals/constraints; explore multiple options; converge on a direction before implementation.

How do I install Brainstorming in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill brainstorming -a claude-code`. Or copy the skill folder (scientific-skills/Other/brainstorming in aipoch/medical-research-skills) into .claude/skills/brainstorming in your project. Claude Code loads it when a task matches its description.

How do I install Brainstorming in Codex?

Run `npx skills add aipoch/medical-research-skills --skill brainstorming -a codex`. Or copy the skill folder (scientific-skills/Other/brainstorming in aipoch/medical-research-skills) into .agents/skills/brainstorming in your project. Codex loads it when a task matches its description.

Can I use Brainstorming in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill brainstorming -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/brainstorming, .gemini/skills/brainstorming, .github/skills/brainstorming and .opencode/skills/brainstorming in your project.

What does Brainstorming need to run?

SKILL.md names no scripts, command-line tools or credentials: Brainstorming is instructions for the agent only.

Does Brainstorming access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Brainstorming safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Brainstorming use?

Brainstorming is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Brainstorming use?

About 945 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 816 tokens, read only when the agent opens those files.

What are the alternatives to Brainstorming?

Skills that share tags, products or a category with Brainstorming: Brainstorming (xpinjection/test-driven-spring-boot, 112 stars), LLM Council (gcpdev/llm-council-skill, 461 stars), Typesafe AI (OpenAgentsInc/openagents, 455 stars) and Yao Meta Skill (yaojingang/yao-meta-skill, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Brainstorming?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,974 GitHub stars. The repository holds 567 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.