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Evanflow Brainstorming

Community
evanklem
evanflow-brainstorming

Clarify intent, propose 2-3 approaches, embedded grill to stress-test the chosen path. Use before any creative work — new features, components, behavior changes, design questions. Mockup-only requests use mockup quick-mode (no spec/plan ceremony).

Overview

Publisherevanklem
Repositoryevanflow
Skill nameevanflow-brainstorming
Stars
418
Forks
18
Bundled files
Instructions only
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 evanklem on GitHub. Read the source before you install it.

Installation

Install the Evanflow Brainstorming 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/evanklem/evanflow/tree/main/skills/evanflow-brainstorming
  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/evanklem/evanflow.git /tmp/evanflow
mkdir -p .claude/skills
cp -r /tmp/evanflow/skills/evanflow-brainstorming .claude/skills/evanflow-brainstorming
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Evanflow Brainstorming 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 Evanflow Brainstorming 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 Evanflow Brainstorming 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.

EvanFlow: Brainstorming

Vocabulary

See evanflow meta-skill. Key terms used here: deep modules, deletion test, mockup quick-mode, grill.

When to Use

  • "Help me think through X"
  • "I want to build Y"
  • New feature scoping
  • Design questions where intent is unclear
  • Before any creative work that will produce code

SKIP this skill when: the user is asking a factual question, requesting a quick mockup, or doing exploratory reading. EvanFlow has no skill tax — answer directly.

Mockup Quick-Mode

If the user says "show me mockups", "give me visual options", "let's see designs", or anything similar and is NOT asking to implement — skip everything below. Produce mockups directly in whatever form the project uses:

  • HTML files (often easiest — write self-contained pages and tell the user where to open them, e.g., open mockup-1.html or via a local HTTP server)
  • Figma frames (if the project uses Figma)
  • ASCII layouts (for terminal UIs)
  • Whatever the project's CLAUDE.md documents as the design-iteration medium

No spec doc. No plan. No git operations. Just iterate visually until the user picks a direction.

The Flow

  1. Quick context check. Skim relevant files, recent commits, and any referenced docs. Do NOT exhaustively explore — just enough to ground the conversation.
  2. Scope check. If the request describes multiple independent subsystems, flag it and propose decomposition before going further. Don't refine details on something that needs to be split.
  3. Ask clarifying questions one at a time. Multiple-choice when possible (use AskUserQuestion). Focus on purpose, constraints, success criteria.
  4. Propose 2–3 approaches with trade-offs and your recommendation as option (a). Lead with "here's what I'd do and why."
  5. Embedded Grill (see below) — stress-test the chosen approach before committing.
  6. Present the design in sections sized to their complexity. Get explicit approval after each section.
  7. Decide: spec doc, straight to plan, or just go.

Embedded Grill

Once an approach is chosen, ask 3–5 sharp questions targeting:

  • Hidden constraints: "What breaks if a user does X?"
  • Reversibility: "If we ship this and it's wrong, what's the rollback?"
  • Boundaries: "What's explicitly NOT in scope?"
  • Existing patterns: "Is there code in the project that already does something similar? Should this conform or diverge?"
  • Domain language: "Are we using the right terms from CONTEXT.md?"

For each question, propose a recommended answer. The user accepts, refines, or rejects. Don't grill on every single design — only when the choice has irreversibility, security, or domain-modeling implications.

Hard Rules

  • Never auto-commit. Confirm in the current turn before any git op.
  • No forced spec path. If a spec doc is appropriate, ask the user where to put it. Default suggestion: docs/specs/YYYY-MM-DD-<topic>.md. Don't write to any vendor-specific path unless user requests.
  • No forced visual companion offer. Skip the browser-companion offer entirely; mockup quick-mode handles visual work directly.
  • No skill tax. If the user is just chatting or asking a factual question, exit this skill — don't force the flow.

Hand-offs

  • Spec written → evanflow-writing-plans (if non-trivial)
  • Substantial new feature (sprint-sized, multi-stakeholder) → evanflow-prd instead of writing-plans
  • Plan exists → evanflow-executing-plans (which itself offers evanflow-coder-overseer if the plan has 3+ parallelizable units)
  • Just go → start with evanflow-tdd for the first behavior
  • Domain term emerged → evanflow-glossary to update CONTEXT.md
  • Interface shape is the hard part of the design → evanflow-design-interface before writing-plans

Frequently asked questions

What does the Evanflow Brainstorming AI skill do?

Clarify intent, propose 2-3 approaches, embedded grill to stress-test the chosen path. Use before any creative work — new features, components, behavior changes, design questions. Mockup-only requests use mockup quick-mode (no spec/plan ceremony).

Why use Evanflow Brainstorming on TypingMind?

Because you install it once and use it with any model. Evanflow Brainstorming 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 Evanflow Brainstorming in TypingMind?

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

Which AI models can use Evanflow Brainstorming?

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 Evanflow Brainstorming?

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

Is the Evanflow Brainstorming AI skill free?

It is published on GitHub by evanklem. Check the repository for licensing terms. 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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