workflow-brainstorming

workflow-brainstorming is a skill for Claude Code, Codex from Kastalien-Research/thoughtbox. It costs 78 tokens per session (1,314 once invoked), scanned A, a copy of brainstorming, MIT.

A guided discussion process for deciding what to build before planning or coding it.

In plain words
What is it for?
Use it when a feature request is vague, several solutions seem possible, or the scope needs to be narrowed. It can be skipped for a precise request or a straightforward bug fix.
Why use it?
It helps resolve unclear requirements, compare possible approaches, and discuss trade-offs before implementation begins.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it when a feature request is vague, several solutions seem possible, or the scope needs to be narrowed. It can be skipped for a precise request or a straightforward bug fix.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kastalien-research/thoughtbox/workflow-brainstorming
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.

Any agent
npx skills add Kastalien-Research/thoughtbox --skill workflow-brainstorming
Clone the repo
git clone --depth 1 https://github.com/Kastalien-Research/thoughtbox

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 workflow-brainstorming

README.md
[![agentmods](https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/workflow-brainstorming/github.svg)](https://agentmods.dev/skills/kastalien-research/thoughtbox/workflow-brainstorming)
Your own site
<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/workflow-brainstorming"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/workflow-brainstorming/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 workflow-brainstorming

Your own site · 80×15
<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/workflow-brainstorming"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/workflow-brainstorming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,314 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin 98% copy Near-identical to another mod 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 $0.00078 $0.01314
Opus 5.5 $0.00031 $0.00526
Sonnet 5.5 $0.00016 $0.00263
Haiku 4.5 $0.00008 $0.00131

Measured 1mo ago against content hash c1c0aa4513a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

workflow-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 1mo 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.

Origin

This is a copy

98% identical to brainstorming — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/workflow-brainstorming/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brainstorming

This skill provides detailed process knowledge for effective brainstorming sessions that clarify WHAT to build before diving into HOW to build it.

When to Use This Skill

Brainstorming is valuable when:

  • Requirements are unclear or ambiguous
  • Multiple approaches could solve the problem
  • Trade-offs need to be explored with the user
  • The user hasn't fully articulated what they want
  • The feature scope needs refinement

Brainstorming can be skipped when:

  • Requirements are explicit and detailed
  • The user knows exactly what they want
  • The task is a straightforward bug fix or well-defined change

Core Process

Phase 0: Assess Requirement Clarity

Before diving into questions, assess whether brainstorming is needed.

Signals that requirements are clear:

  • User provided specific acceptance criteria
  • User referenced existing patterns to follow
  • User described exact behavior expected
  • Scope is constrained and well-defined

Signals that brainstorming is needed:

  • User used vague terms ("make it better", "add something like")
  • Multiple reasonable interpretations exist
  • Trade-offs haven't been discussed
  • User seems unsure about the approach

If requirements are clear, suggest: "Your requirements seem clear. Consider proceeding directly to planning or implementation."

Phase 1: Understand the Idea

Ask questions one at a time to understand the user's intent. Avoid overwhelming with multiple questions.

Question Techniques:

  1. Prefer multiple choice when natural options exist

    • Good: "Should the notification be: (a) email only, (b) in-app only, or (c) both?"
    • Avoid: "How should users be notified?"
  2. Start broad, then narrow

    • First: What is the core purpose?
    • Then: Who are the users?
    • Finally: What constraints exist?
  3. Validate assumptions explicitly

    • "I'm assuming users will be logged in. Is that correct?"
  4. Ask about success criteria early

    • "How will you know this feature is working well?"

Read the full file on GitHub · 190 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. 1mo ago First seen · 190 lines · 78 tokens per session scan A c1c0aa4513a8

Subscribe to this mod's changes

workflow-brainstorming is a skill published in the GitHub repository Kastalien-Research/thoughtbox (65 stars, last pushed 3mo ago), licensed MIT. It adds 78 tokens to every session and 1,314 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to brainstorming, differing in 9 lines, and is treated as a copy.

Related

Other skills, from other repositories

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

phylogenetics

Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…

K-Dense-AI/scientific-agent-skills · 71 tokens

unity-yaml-editing

Last-resort guidance for safely hand-editing Unity YAML.

Besty0728/Unity-Skills · 17 tokens

ad-policy-check

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with…

gooseworks-ai/goose-skills · 128 tokens

render-3d-product-showcase

Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the chosen backdrop colour, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed…

gooseworks-ai/goose-skills · 159 tokens

render-airdrop-carousel

Assemble a viral iOS "AirDrop" notification-carousel video ad (≈6–8s, 9:16) from a brand line plus 6–16 real product photos — a native AirDrop share-sheet card ("Brand would like to share a · Decline / Accept") springs up and its preview window CYCLES through the products, landing on a range/lineup payoff with an…

gooseworks-ai/goose-skills · 207 tokens