brainstorming

brainstorming is a skill for Claude Code, Codex from 0xranx/agentbrief. It costs 15 tokens per session (518 once invoked), scanned A, original, MIT.

A design-first coding method that explores several solutions before any code is written.

In plain words
What is it for?
Clarifying goals, listing constraints, comparing two or three approaches, and getting approval before coding.
Why use it?
It reduces unclear requirements, premature implementation, and choosing an approach without considering trade-offs.

Skill for Claude CodeCodex

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 skills/0xranx/agentbrief/brainstorming
Any agent
npx skills add 0xranx/agentbrief --skill brainstorming
Clone the repo
git clone --depth 1 https://github.com/0xranx/agentbrief

Made for: Claude Code, Codex.

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 brainstorming

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xranx/agentbrief/brainstorming.svg)](https://agentmods.dev/skills/0xranx/agentbrief/brainstorming)
Your own site
<a href="https://agentmods.dev/skills/0xranx/agentbrief/brainstorming"><img src="https://agentmods.dev/badge/skills/0xranx/agentbrief/brainstorming.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 518 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.

ModelPer sessionOnce invoked
Fable 5 $0.00015 $0.00518
Opus 5 $0.00008 $0.00259
Sonnet 5 $0.00003 $0.00104
Haiku 4.5 $0.00002 $0.00052

Measured 4d ago against content hash 0dd052da1e5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

brainstorming 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 4d 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.

briefs/growth-engineer/skills/brainstorming/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Methodology from obra/superpowers (MIT)

Brainstorming & Design-First

Hard gate: no code before design approval.

Phase 1 -- Understand the Problem

  1. Clarify the user's goal. Ask "what problem does this solve?" not "what should I build?"
  2. Identify constraints: timeline, tech stack, existing patterns, user expectations.
  3. Define success criteria -- how will we know this is done and done well?
  4. List non-goals explicitly to prevent scope creep.

Phase 2 -- Generate Alternatives

  1. Propose 2-3 distinct approaches. Not variations of one idea -- genuinely different strategies.
  2. For each approach, describe:
    • How it works (one paragraph, plain language).
    • Pros -- what it does well.
    • Cons -- what it does poorly or makes harder.
    • Effort -- rough size (small / medium / large).
  3. Highlight the trade-offs between approaches, not just feature lists.

Phase 3 -- Decide

  1. Present the alternatives to the user (or evaluate against success criteria if working solo).
  2. Recommend one approach with a clear rationale.
  3. Wait for approval before writing any code.
  4. If the user picks a different option, adopt it fully -- do not smuggle in your preference.

Phase 4 -- Apply YAGNI Ruthlessly

  1. Before adding any feature, ask: "Is this needed right now, or might it be needed someday?"
  2. If "someday", cut it. You can add it later when the need is real.
  3. Prefer simple solutions that are easy to extend over clever solutions that anticipate the future.
  4. Every line of code is a liability. Less code = less bugs = less maintenance.

Practical Rules

  • Design discussions are not wasted time -- they prevent wasted implementation time.
  • A rejected design alternative is valuable information, not a failure.
  • Write the simplest thing that could possibly work first.
  • Revisit design decisions when requirements change, not when bored.

Anti-patterns to Avoid

  • Jumping straight to code because "it's faster".
  • Proposing only one option and asking "is this okay?"
  • Gold-plating: adding features nobody asked for.
  • Premature abstraction: building a framework when a function will do.

Read the full file on GitHub · 56 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. 4d ago First seen · 56 lines · 15 tokens per session scan A 0dd052da1e5d

Subscribe to this mod's changes

brainstorming is a skill published in the GitHub repository 0xranx/agentbrief (45 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 518 once invoked, about $0.0001 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.