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Brainstorming

  • 13 installs
  • 7 repo stars
  • Updated August 2, 2026
  • practicalswan/agent-skills

brainstorming is a Claude Code skill for ai & agent building.

About

brainstorming is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • brainstorming
  • AI & Agent Building
  • AI-coding skill

Brainstorming by the numbers

  • 13 all-time installs (skills.sh)
  • Ranked #11,409 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/practicalswan/agent-skills --skill brainstorming

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Listed on Skillselion
Installs13
repo stars7
Last updatedAugust 2, 2026
Repositorypracticalswan/agent-skills

How do I helps with ai & agent building tasks.?

Helps with ai & agent building tasks.

Who is it for?

Best when you're working on ai & agent building and need structured help with brainstorming.

Skip if: Teams with no ai & agent building needs, or anyone wanting a generic chat assistant without this specific workflow.

When should I use this skill?

When you need to helps with ai & agent building tasks., or when brainstorming is a claude code skill for ai & agent building.

What you get

Structured output aligned to brainstorming: brainstorming, AI & Agent Building.

Files

SKILL.mdMarkdownGitHub ↗

Brainstorming Ideas Into Designs

Overview

Help turn ideas into fully formed designs and specs through natural collaborative dialogue.

Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design and get user approval.

<HARD-GATE> Do NOT invoke any implementation skill, write any code, scaffold any project, or take any implementation action until you have presented a design and the user has approved it. This applies to EVERY project regardless of perceived simplicity. </HARD-GATE>

  • Leverage native parallel subagent dispatch and 200k+ context windows where available.

Anti-Pattern: "This Is Too Simple To Need A Design"

Every project goes through this process. A todo list, a single-function utility, a config change — all of them. "Simple" projects are where unexamined assumptions cause the most wasted work. The design can be short (a few sentences for truly simple projects), but you MUST present it and get approval.

Anti-Patterns

  • Delegating or evaluating without a scoped success condition: The output becomes hard to review and easy to overbuild.
  • Skipping the evidence step: A workflow that cannot be re-checked quickly is not ready for handoff.
  • Bundling unrelated subtasks together: It creates noisy prompts, weaker ownership, and avoidable integration risk.

Verification Protocol

Before claiming "skill applied successfully":

1. Pass/fail: The Brainstorming workflow starts from explicit success criteria, constraints, and stop conditions. 2. Pass/fail: Required evidence is collected before any completion, approval, or readiness claim. 3. Pass/fail: The next action follows the documented gate order without skipping review or verification steps. 4. Pressure-test scenario: Apply the workflow under time pressure with one failing check and one tempting shortcut. 5. Success metric: Zero rationalizations; blocked, failed, or unverified work is reported as such.

Checklist

You MUST create a task for each of these items and complete them in order:

1. Explore project context — check files, docs, recent commits 2. Ask clarifying questions — one at a time, understand purpose/constraints/success criteria 3. Propose 2-3 approaches — with trade-offs and your recommendation 4. Present design — in sections scaled to their complexity, get user approval after each section 5. Write design doc — save to docs/plans/YYYY-MM-DD-<topic>-design.md and commit 6. Transition to implementation — invoke writing-plans skill to create implementation plan

Process Flow

digraph brainstorming {
    "Explore project context" [shape=box];
    "Ask clarifying questions" [shape=box];
    "Propose 2-3 approaches" [shape=box];
    "Present design sections" [shape=box];
    "User approves design?" [shape=diamond];
    "Write design doc" [shape=box];
    "Invoke writing-plans skill" [shape=doublecircle];

    "Explore project context" -> "Ask clarifying questions";
    "Ask clarifying questions" -> "Propose 2-3 approaches";
    "Propose 2-3 approaches" -> "Present design sections";
    "Present design sections" -> "User approves design?";
    "User approves design?" -> "Present design sections" [label="no, revise"];
    "User approves design?" -> "Write design doc" [label="yes"];
    "Write design doc" -> "Invoke writing-plans skill";
}

The terminal state is invoking writing-plans. Do NOT invoke frontend-design, mcp-builder, or any other implementation skill. The ONLY skill you invoke after brainstorming is writing-plans.

The Process

Understanding the idea:

  • Check out the current project state first (files, docs, recent commits)
  • Ask questions one at a time to refine the idea
  • Prefer multiple choice questions when possible, but open-ended is fine too
  • Only one question per message - if a topic needs more exploration, break it into multiple questions
  • Focus on understanding: purpose, constraints, success criteria

Exploring approaches:

  • Propose 2-3 different approaches with trade-offs
  • Present options conversationally with your recommendation and reasoning
  • Lead with your recommended option and explain why

Presenting the design:

  • Once you believe you understand what you're building, present the design
  • Scale each section to its complexity: a few sentences if straightforward, up to 200-300 words if nuanced
  • Ask after each section whether it looks right so far
  • Cover: architecture, components, data flow, error handling, testing
  • Be ready to go back and clarify if something doesn't make sense

After the Design

Documentation:

  • Write the validated design to docs/plans/YYYY-MM-DD-<topic>-design.md
  • Use elements-of-style:writing-clearly-and-concisely skill if available
  • Commit the design document to git

Implementation:

  • Invoke the writing-plans skill to create a detailed implementation plan
  • Do NOT invoke any other skill. writing-plans is the next step.

Key Principles

  • One question at a time - Don't overwhelm with multiple questions
  • Multiple choice preferred - Easier to answer than open-ended when possible
  • YAGNI ruthlessly - Remove unnecessary features from all designs
  • Explore alternatives - Always propose 2-3 approaches before settling
  • Incremental validation - Present design, get approval before moving on
  • Be flexible - Go back and clarify when something doesn't make sense

<!-- PORTABILITY:START -->

Cross-Client Portability

This skill is written to stay usable across GitHub Copilot, Claude Code, Codex, and Gemini CLI.

  • GitHub Copilot: keep the folder in a Copilot-visible skill or plugin path, or wrap the workflow as project instructions if the host does not support portable skill folders directly.
  • Claude Code: keep the folder in a local skills directory or a compatible plugin or marketplace source.
  • Codex: install or sync the folder into $CODEX_HOME/skills/<skill-name> and restart Codex after major changes.
  • Gemini CLI: this repository generates a project command named /skills:brainstorming from this skill. Rebuild commands with python scripts/export-gemini-skill.py brainstorming and then run /commands reload inside Gemini CLI.

<!-- PORTABILITY:END -->

<!-- MCP:START -->

MCP Availability And Fallback

Preferred MCP Server: None required

  • Fallback prompt: "Use the Brainstorming Ideas Into Designs skill without MCP. Rely on the local SKILL.md, bundled references or scripts, and manual verification. Show the exact commands, evidence, and final checks you used before concluding."
  • If the current host does not expose a matching server, use the bundled references, scripts, native toolchain, and manual workflow already described in this skill.
  • Treat direct local verification, rendered output, logs, tests, or screenshots as the fallback evidence path before completion.

<!-- MCP:END -->

Related Skills

  • agent-task-mapping: Use it when the workflow also needs task-to-agent routing decisions.
  • custom-agent-usage: Use it when the workflow also needs loading and invoking custom agent definitions safely.
  • subagent-delegation: Use it when the workflow also needs safe, scoped delegation to helper agents.
  • subagent-driven-development: Use it when the workflow also needs plan-driven implementation with reviewer loops.

Related skills

FAQ

What does brainstorming do?

brainstorming is a Claude Code skill for ai & agent building.

When should I use brainstorming?

When you need to helps with ai & agent building tasks., or when brainstorming is a claude code skill for ai & agent building.

What are the main capabilities?

brainstorming; AI & Agent Building; AI-coding skill.

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