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Evanflow Design Interface

Community
evanklem
evanflow-design-interface

Design a module's interface using parallel sub-agents producing radically different designs ("design it twice"). Compare on depth, simplicity, and efficiency. Embedded grill on the synthesized choice. Use when designing a new API, exploring interface options, or deciding the shape of a refactor before writing code.

Overview

Publisherevanklem
Repositoryevanflow
Skill nameevanflow-design-interface
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 Design Interface 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-design-interface
  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-design-interface .claude/skills/evanflow-design-interface
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Evanflow Design Interface 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 Design Interface 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 Design Interface 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: Design an Interface

Source principle: "Design It Twice" from John Ousterhout's A Philosophy of Software Design. Your first idea is unlikely to be the best. Generate radically different designs, compare, synthesize.

Vocabulary

See evanflow meta-skill. Key terms: interface, depth, module, adapter.

When to Use

  • Designing a new API surface (tRPC router, service interface, public function set)
  • Refactor changes a public interface — design before implementing
  • Stuck on the shape of a module
  • The team disagrees on the right interface

The Flow

1. Gather Requirements

  • What problem does this module solve?
  • Who are the callers? (other modules, external users, tests)
  • Key operations
  • Constraints (performance, compatibility, existing project patterns from CONTEXT.md)
  • What should be hidden vs. exposed

2. Spawn Parallel Sub-Agents (Design It Twice — actually 3+)

Dispatch 3+ Explore or general-purpose agents simultaneously (single message, multiple Agent tool calls). Each gets a radically different constraint:

  • Agent 1: "Minimize method count — aim for 1–3 methods max."
  • Agent 2: "Maximize flexibility — support many use cases."
  • Agent 3: "Optimize for the most common case (specify what that is)."
  • (Optional) Agent 4: "Take inspiration from ."

Each returns:

  1. Interface signature (types, methods, params)
  2. Usage example (how the caller actually uses it)
  3. What the design hides internally
  4. Trade-offs

3. Present Designs Sequentially

Show each design separately so the user can absorb each before comparison. No tables yet — let each design stand on its own.

4. Compare

After all designs are shown, compare on:

  • Interface simplicity: fewer methods, simpler params
  • General-purpose vs. specialized: flexibility vs. focus
  • Implementation efficiency: does the shape allow efficient internals or force awkward ones?
  • Depth: small interface hiding significant complexity (good) vs. large interface with thin implementation (bad)
  • Ease of correct use vs. ease of misuse

Discuss in prose. Highlight where designs diverge most.

5. Synthesize

Often the best design combines insights from multiple options. Ask:

  • "Which design best fits the primary use case?"
  • "Any elements from other designs worth incorporating?"

6. Embedded Grill on the Synthesis

Before committing to the design:

  • "What's the simplest way a caller could misuse this?"
  • "What test would force this interface to change unnecessarily? Does that test exist or would we write it?"
  • "Is the interface still simple after we incorporate the borrowed elements, or did the synthesis bloat it?"
  • "Apply the deletion test to internal helper modules implied by this design."

Hard Rules

  • Don't let sub-agents converge. Enforce radical difference. If agents return similar designs, re-spawn with sharper constraints.
  • Don't skip comparison. The value is in the contrast.
  • Don't implement. This skill is purely about interface shape. Implementation goes through evanflow-writing-plans + evanflow-tdd.
  • Don't evaluate based on implementation effort. Evaluate on interface quality.
  • Never auto-commit. Even a design doc gets staged, not committed.

Hand-offs

  • Design chosen → evanflow-writing-plans (the plan implements the design)
  • Design reveals architecture concerns → evanflow-improve-architecture first
  • New domain terms emerged → evanflow-glossary to update CONTEXT.md

Frequently asked questions

What does the Evanflow Design Interface AI skill do?

Design a module's interface using parallel sub-agents producing radically different designs ("design it twice"). Compare on depth, simplicity, and efficiency. Embedded grill on the synthesized choice. Use when designing a new API, exploring interface options, or deciding the shape of a refactor before writing code.

Why use Evanflow Design Interface on TypingMind?

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

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

Which AI models can use Evanflow Design Interface?

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 Design Interface?

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

Is the Evanflow Design Interface 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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