gru-ai: Skill for Claude Code

.claude/skills/brainstorm/SKILL.md

brainstorm is a skill for Claude Code from andrew-yangy/gru-ai. It costs 46 tokens per session (2,985 once invoked), scanned A, original, MIT.

A structured brainstorming guide for turning a question or topic into a clearer decision or plan before work begins.

In plain words
What is it for?
Use it to refine a focused design question or explore a larger strategy involving several areas such as product, technology, and operations.
Why use it?
It helps separate figuring out what to do from carrying out the work, and adjusts the discussion to the size and scope of the question.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: reads .claude/ paths; names the AskUserQuestion tool.

This is andrew-yangy/gru-ai's own configuration. It tells Claude Code how to work on gru-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gru-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to andrew-yangy/gru-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/andrew-yangy/gru-ai/main/.claude/skills/brainstorm/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/andrew-yangy/gru-ai

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for brainstorm

README.md
[![agentmods](https://agentmods.dev/badge/skills/andrew-yangy/gru-ai/brainstorm/github.svg)](https://agentmods.dev/skills/andrew-yangy/gru-ai/brainstorm)
Your own site
<a href="https://agentmods.dev/skills/andrew-yangy/gru-ai/brainstorm"><img src="https://agentmods.dev/badge/skills/andrew-yangy/gru-ai/brainstorm/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for brainstorm

Your own site · 80×15
<a href="https://agentmods.dev/skills/andrew-yangy/gru-ai/brainstorm"><img src="https://agentmods.dev/badge/skills/andrew-yangy/gru-ai/brainstorm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,985 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.02985
Opus 5 $0.00023 $0.01492
Sonnet 5 $0.00009 $0.00597
Haiku 4.5 $0.00005 $0.00298

Measured 10d ago against content hash 3ee92a918bcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

brainstorm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/brainstorm/SKILL.md · 341 lines

How it starts

The opening of the file, as written. The whole thing — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brainstorm — Structured Strategic Thinking

Role Resolution

Read .claude/agent-registry.json to map roles to agent names. Use each agent's id as the subagent_type when spawning. The COO = operations/orchestration, the CTO = architecture/technical, the CPO = product/UX, the CMO = growth/marketing.


The CEO has a question: $ARGUMENTS

Step 0: Triage

Read the question. Classify it before doing anything else.

Lightweight — single agent, Socratic dialogue, no external research:

  • Focused design question ("how should I structure this component?")
  • Single-domain topic (just architecture, or just UX, or just process)
  • Answer can be reached in one conversation
  • No cross-cutting impact (doesn't change multiple systems)

Heavyweight — multi-agent parallel research, synthesis, options:

  • Strategic question affecting multiple systems ("how should goal tracking work?")
  • Crosses domains (architecture + UX + operations)
  • Needs external research (how do others solve this?)
  • Decision has lasting consequences (data models, project structure, user flows)

State the classification:

Classification: {lightweight | heavyweight}
Reasoning: {one sentence}

Lightweight Path — Socratic Refinement

For focused questions. One agent, interactive dialogue. Think 5-minute whiteboard chat.

Pick the right agent based on the question domain:

  • Architecture / data model → the CTO
  • User experience / product → the CPO
  • Process / operations → the COO
  • Growth / positioning → the CMO

Spawn the agent (using the registry's id as subagent_type) with:

  • Their personality file (auto-loaded via subagent_type)
  • The CEO's question
  • .context/vision.md and .context/preferences.md
  • Relevant files the question touches
You are {Name}, {Title}. The CEO wants to think through a design question with you.

QUESTION: {question}

Your job: Socratic refinement. Don't jump to an answer. Instead:

1. CLARIFY — Ask 2-3 sharpening questions to make sure you understand what the CEO really needs. What are the constraints? What matters most? What have they already considered?

2. EXPLORE — Once you understand, propose 2 options with clear trade-offs. Be opinionated. "I'd go with A because..." not "both have merit."

3. DETAIL — After the CEO picks a direction, flesh it out: what changes, what the structure looks like, what to watch out for.

Keep it conversational. Short responses. This is a dialogue, not a report.

CRITICAL OUTPUT FORMAT: JSON only. First character `{`, last `}`.

{
  "agent": "{name}",
  "clarifying_questions": ["question 1", "question 2", "question 3"],
  "initial_instinct": "Your gut reaction to the question in 1-2 sentences"
}

Read the full file on GitHub · 341 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 341 lines · 46 tokens per session scan A 3ee92a918bcc

Subscribe to this mod's changes

brainstorm is a skill published in the GitHub repository andrew-yangy/gru-ai (153 stars, last pushed 6mo ago), licensed MIT. It adds 46 tokens to every session and 2,985 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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