A structured brainstorming process that explores many ideas with parallel agents, filters them for practicality, scores trade-offs, and combines the strongest options into a design.

Use it to explore topics such as API design, compare alternatives, identify risks, and develop a recommendation from multiple ideas.

It turns a rough technical question into a set of considered approaches with explicit feasibility checks and criticism.

brainstorm — Command by yonatangross

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add commands/yonatangross/orchestkit/brainstorm

Clone the repo

git clone --depth 1 https://github.com/yonatangross/orchestkit

Per session 87 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 6,680 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00087	$0.06680
Opus 5	$0.00044	$0.03340
Sonnet 5	$0.00017	$0.01336
Haiku 4.5	$0.00009	$0.00668

Measured 2d ago against content hash 2b26fd7d4909, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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.

plugins/ork/.cursor-plugin/commands/brainstorm.md · 472 lines

How it starts

The opening of the file, as written. The whole thing — 472 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Auto-generated from skills/brainstorm/SKILL.md

Source: https://github.com/yonatangross/orchestkit

Brainstorming Ideas Into Designs

Transform rough ideas into fully-formed designs through intelligent agent selection and structured exploration.

Core principle: Analyze the topic, select relevant agents dynamically, explore alternatives in parallel, present design incrementally.

Argument Resolution

TOPIC = "$ARGUMENTS"  # Full argument string, e.g., "API design for payments"
# $ARGUMENTS[0] is the first token (CC 2.1.59 indexed access)

STEP -1: MCP Probe + Resume Check

Probe MCP servers once at skill start, store capabilities, and resume from any prior crashed session. Each phase emits a JSON handoff file consumed by the next.

Full procedure + handoff-file table: Read("${CLAUDE_PLUGIN_ROOT}/skills/brainstorm/references/mcp-probe-resume.md")

STEP 0: Project Context Discovery

BEFORE creating tasks or selecting agents, detect the project tier. This becomes the complexity ceiling for all downstream decisions.

Auto-Detection (scan codebase)

# PARALLEL — quick signals (launch all in ONE message)
Grep(pattern="take-home|assignment|interview|hackathon", glob="README*", output_mode="content")
Grep(pattern="take-home|assignment|interview|hackathon", glob="*.md", output_mode="content")
Glob(pattern=".github/workflows/*")
Glob(pattern="**/Dockerfile")
Glob(pattern="**/terraform/**")
Glob(pattern="**/k8s/**")
Glob(pattern="CONTRIBUTING.md")

Tier Classification

Signal	Tier
README says "take-home", "assignment", time limit	1. Interview
< 10 files, no CI, no Docker	2. Hackathon
`.github/workflows/`, 10-25 deps	3. MVP
Module boundaries, Redis, background jobs	4. Growth
K8s/Terraform, DDD structure, monorepo	5. Enterprise
CONTRIBUTING.md, LICENSE, minimal deps	6. Open Source

If confidence is low, ask the user:

AskUserQuestion(questions=[{
  "question": "What kind of project is this?",
  "header": "Project tier",
  "options": [
    {"label": "Interview / take-home", "description": "8-15 files, 200-600 LOC, simple architecture"},
    {"label": "Startup / MVP", "description": "MVC monolith, managed services, ship fast"},
    {"label": "Growth / enterprise", "description": "Modular monolith or DDD, full observability"},
    {"label": "Open source library", "description": "Minimal API surface, exhaustive tests"}
  ],
  "multiSelect": false
}])

Read the full file on GitHub · 472 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.

2d ago First seen · 472 lines · 87 tokens per session scan A 2b26fd7d4909

Subscribe to this mod's changes

brainstorm is a command published in the GitHub repository yonatangross/orchestkit (224 stars, last pushed 2d ago), licensed MIT. It adds 87 tokens to every session and 6,680 once invoked, about $0.0004 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.

LLM Planning agents ai-development claude-code claude-plugin langgraph

brainstorm