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Brainstorming Extension

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dsifry
brainstorming-extension

Enforces design review gate after brainstorming — bridges superpowers:brainstorming into the metaswarm quality pipeline

Overview

Publisherdsifry
Repositorymetaswarm
Skill namebrainstorming-extension
Stars
421
Forks
54
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by dsifry on GitHub. Read the source before you install it.

Installation

Install the Brainstorming Extension AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dsifry/metaswarm/tree/main/skills/brainstorming-extension
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dsifry/metaswarm.git /tmp/metaswarm
mkdir -p .claude/skills
cp -r /tmp/metaswarm/skills/brainstorming-extension .claude/skills/brainstorming-extension
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brainstorming Extension in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Brainstorming Extension on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Brainstorming Extension is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Brainstorming Extension - Mandatory Review Gate Bridge

Purpose

This skill bridges superpowers:brainstorming into the metaswarm quality pipeline by enforcing the Design Review Gate after any design document is created. Without this bridge, brainstorming flows directly into writing-plans, bypassing the 5-agent design review that catches architectural, security, and requirements issues before expensive implementation begins.

This is a critical workflow enforcement point, not a passive extension.


The Problem This Solves

superpowers:brainstorming has a built-in terminal state: "The ONLY skill you invoke after brainstorming is writing-plans." This creates a pipeline bypass:

text
WITHOUT this extension (broken flow):

superpowers:brainstorming
    └── Commits design doc
          └── writing-plans (DIRECTLY — no review!)
                └── executing-plans
                      └── Implementation begins on UNREVIEWED design
text
WITH this extension (correct flow):

superpowers:brainstorming
    └── Commits design doc
          │
          ▼
    ┌─────────────────────────────────────────┐
    │  MANDATORY DESIGN REVIEW GATE           │
    │  (Enforced by CLAUDE.md + start-task)   │
    │                                         │
    │  5 parallel review agents:              │
    │  • Product Manager (use cases)          │
    │  • Architect (architecture)             │
    │  • Designer (UX/API)                    │
    │  • Security Design (threats)            │
    │  • CTO (TDD readiness)                 │
    │                                         │
    │  ALL FIVE must APPROVE                  │
    └─────────────────────────────────────────┘
          │
          ▼
    ALL APPROVED? ────No────► Iterate on design (max 3)
          │
         Yes
          │
          ▼
    writing-plans → plan-review-gate → orchestrated-execution

How Enforcement Works

YAML frontmatter triggers (auto_activate, triggers) are metadata hints — Claude Code does not enforce them automatically. Instead, this enforcement works through three redundant mechanisms:

1. CLAUDE.md Template (Primary)

The CLAUDE.md template contains a "Workflow Enforcement (MANDATORY)" section that explicitly states:

After brainstorming: STOP → Run Design Review Gate → Wait for all 5 agents to APPROVE → Only then proceed

This instruction is loaded into every conversation and overrides conflicting skill instructions.

2. start-task Command (Secondary)

The /start-task command's Problem Definition Phase includes an explicit "MANDATORY HANDOFF" block that requires the design review gate after brainstorming.

3. This Skill Document (Reference)

When this skill is loaded (either by name or auto-activation), it provides the detailed procedure below.


Procedure: After Brainstorming Completes

When superpowers:brainstorming commits a design document:

Step 1: Announce the Gate

markdown
## Design Review Gate Activated

Your design document has been committed. Before proceeding to implementation,
I'll run it through our 5-agent review panel.

Spawning reviews:
- Product Manager Agent (use case/requirements validation)
- Architect Agent (technical architecture)
- Designer Agent (UX/API design)
- Security Design Agent (threat modeling/security review)
- CTO Agent (TDD readiness)

This typically takes 2-3 minutes...

Step 2: Invoke the Design Review Gate

Invoke the design-review-gate skill with the path to the design document. This spawns all 5 review agents in parallel.

Step 3: Report Results

If ALL APPROVED:

markdown
## Design Review Gate: PASSED

All five reviewers have approved your design!

| Agent           | Verdict  | Notes                                 |
| --------------- | -------- | ------------------------------------- |
| Product Manager | APPROVED | Clear use cases, measurable benefits  |
| Architect       | APPROVED | Clean architecture, follows patterns  |
| Designer        | APPROVED | Good API design, clear error states   |
| Security Design | APPROVED | No high-risk threats, mitigations OK  |
| CTO             | APPROVED | TDD specs present, ready to implement |

### Next Steps
1. Create epic for this feature
2. Create implementation plan (writing-plans)
3. Run plan through Plan Review Gate (3 adversarial reviewers)
4. Set up worktree for isolated development
5. Begin orchestrated execution

Ready to proceed? [Yes / No]

If ANY NEEDS_REVISION:

markdown
## Design Review Gate: NEEDS REVISION

Some reviewers found issues that need to be addressed.

### Blocking Issues
[Agent-specific issues listed here]

### Questions Requiring Answers
[Questions listed here]

---

Please revise the design document and I'll re-run the review gate.
(Iteration 1 of 3)

Step 4: Iterate or Proceed

  • If NEEDS_REVISION: Help user address issues, re-run gate (max 3 iterations)
  • If ALL APPROVED: Proceed to planning phase
  • After 3 failed iterations: Escalate to human decision (Override / Defer / Cancel)

Skip Conditions

The review gate can be skipped ONLY when:

  • The user explicitly requests it ("skip the review gate")
  • AND the agent confirms with the user before skipping
  • AND the design is genuinely simple (< 1 day of work, < 3 files)

Related Skills

  • superpowers:brainstorming — The upstream skill this bridges from
  • design-review-gate — The 5-agent review implementation
  • plan-review-gate — The next gate in the pipeline (after writing-plans)
  • orchestrated-execution — The execution framework after planning

Frequently asked questions

What does the Brainstorming Extension AI skill do?

Enforces design review gate after brainstorming — bridges superpowers:brainstorming into the metaswarm quality pipeline

Why use Brainstorming Extension on TypingMind?

Because you install it once and use it with any model. Brainstorming Extension is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Brainstorming Extension in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dsifry/metaswarm/tree/main/skills/brainstorming-extension. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Brainstorming Extension?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Brainstorming Extension?

As many as you like. As long as a model supports skills, you can use Brainstorming Extension with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Brainstorming Extension AI skill free?

Yes. It is published on GitHub by dsifry under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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