💡

AI EngineeringPython

Structured Brainstorming

Structured Brainstorming is an AI Engineering skill for Claude Code, published by nWave-ai in nWave.

598 stars61 forkson nWave-ai/nWaveAdded 2026/08/25+1% in starsRepository updated 2026/06/27

View source on GitHub Download repo ZIP

agentic-aiagentic-codingagentic-frameworkagentic-workflowaiatddbddclaude-codeclaude-code-cliclaude-code-commandsclaude-code-hooksclaude-code-skillsclaude-code-subagentsdevopslean-uxopencodesoftware-architecturesoftware-craftmanshiptdd

Install in seconds

Install Structured Brainstorming

Copy Structured Brainstorming into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-brainstorming ~/.claude/skills/nw-brainstorming

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nWave-ai/nWave.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: nWave/skills/nw-brainstorming/SKILL.md in nWave-ai/nWave
Installs to: ~/.claude/skills/nw-brainstorming
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Structured Brainstorming does

Structured Brainstorming guides divergent ideation with HMW framing, SCAMPER, and Crazy 8s. It is used when you need many distinct options before any evaluation or ranking begins.

Structured Brainstorming is cataloged under AI Engineering on DirSkills. Structured Brainstorming comes from a repository tagged agentic-ai, agentic-coding, agentic-framework, agentic-workflow and ai.

Documentation

README

Excerpt

Structured Brainstorming

The Separation Principle — Foundational Rule

Generation and evaluation CANNOT happen simultaneously. Osborn (1953): "You cannot get hot and cold water from the same faucet at the same time — you only get tepid water."

Consequence for the agent: All options must be generated before any option is scored. Never filter or rank during generation. Self-censorship during generation degrades both the quality of ideas and the quality of evaluation.

Phase 1: HMW Framing — Set Up the Ideation Space

Before generating any options, reframe the problem as a "How Might We" question.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Structured Brainstorming

What else does nWave-ai publish alongside Structured Brainstorming?
Structured Brainstorming is one of 25 skills that DirSkills catalogs from nWave-ai/nWave, the repository it ships in. Its siblings there include AT Completeness Check, Acceptance Test Critique Dimensions and Agent Creation Workflow. Each one is a separate skill with its own page in this directory, installs the same way Structured Brainstorming does, and is maintained by nWave-ai in that same repository. The rest of the collection is listed on the nWave-ai/nWave page.
How does Structured Brainstorming compare to other AI Engineering skills?
Structured Brainstorming ranks #1940 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Structured Brainstorming against them. Open each page to compare what they document and how they install.

More from nWave-ai/nWave

Structured Brainstorming is one of 25 skills cataloged on DirSkills from nWave-ai/nWave.

See all 25 skills →

AT Completeness Check

AT Completeness Check gates acceptance-test sets against a canonical 7-category taxonomy and 15-item checklist. Use it to spot missing boundary, state, lifecycle, flag, negative, and environment cases.

Acceptance Test Critique Dimensions

Acceptance Test Critique Dimensions reviews acceptance tests for coverage, GWT structure, business-language wording, observable assertions, and traceability. Use it when peer-reviewing scenarios or walking skeletons before handoff.

Agent Creation Workflow

Agent Creation Workflow guides agent design from requirements analysis through validation and refinement. Use it when creating a new agent or modifying an existing one with clear responsibilities, tools, and quality gates.

Agent Quality Critique Dimensions

Agent Quality Critique Dimensions provides checks for Claude Code agent definitions, including template compliance, safety, examples, loading, and priority. Use it when reviewing an agent file for correctness and fit.

Agent Quality Critique Dimensions

Agent Quality Critique Dimensions provides review criteria for Claude Code agent definitions, including template compliance, safety, examples, and loading behavior. Use it when validating an agent before release or refactor.

Agent Testing Framework

Agent Testing Framework defines a 5-layer approach for validating agent outputs, handoffs, and adversarial cases. It is used to check prompt injection resistance and other security constraints in Claude Code agents.

More AI Engineering skills

Structured Brainstorming is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1940 by stars among them.

Browse all AI Engineering skills →

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.