Bernstein Plan

OrganizationPopular

sipyourdrink-ltd

bernstein-plan

Create and manage multi-step execution plans in Bernstein. Plans decompose complex goals into stages with dependencies. Use when the user wants to plan a complex feature, break down a large task, or review an execution plan before agents start working.

Overview

Publisher	sipyourdrink-ltd
Repository	`bernstein`
Skill name	`bernstein-plan`
Stars	1.2K
Forks	178
Bundled files	1
License	Apache-2.0
Links	Skill source Repository Homepage

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by sipyourdrink-ltd on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/sipyourdrink-ltd/bernstein/tree/main/packages/cursor-plugin/skills/bernstein-plan
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/sipyourdrink-ltd/bernstein/tree/main/packages/cursor-plugin/skills/bernstein-plan

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/sipyourdrink-ltd/bernstein.git /tmp/bernstein
mkdir -p .claude/skills
cp -r /tmp/bernstein/packages/cursor-plugin/skills/bernstein-plan .claude/skills/bernstein-plan

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bernstein Plan 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 Bernstein Plan 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 Bernstein Plan 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.

Bernstein Plan Mode

Create structured execution plans that get human approval before agents start.

When to Use

User describes a complex feature: "implement user authentication with OAuth"
User wants to break down a large task into stages
User says "plan this out" or "create a plan for..."
User wants to review what agents will do before they start

Instructions

Creating a plan

Analyze the user's request and decompose it into stages and tasks.
Write a plan YAML file using this structure:

yaml
name: "{descriptive plan name}"
description: "{what this plan achieves}"
stages:
  - name: foundation
    steps:
      - goal: "Create database models for user and session"
        role: backend
        scope: small
        complexity: low
      - goal: "Add migration scripts"
        role: backend
        scope: tiny

  - name: implementation
    depends_on: [foundation]
    steps:
      - goal: "Implement OAuth2 flow with Google provider"
        role: backend
        scope: medium
        complexity: medium
      - goal: "Create login/signup UI components"
        role: frontend
        scope: medium

  - name: verification
    depends_on: [implementation]
    steps:
      - goal: "Write integration tests for auth flow"
        role: qa
        scope: medium
      - goal: "Security review of token handling"
        role: security
        scope: small

Save the plan to plans/{plan-name}.yaml in the project root.
Tell the user to execute it: bernstein run plans/{plan-name}.yaml

Or submit via API

Run scripts/plan.sh submit plans/{plan-name}.yaml to submit for approval.
The plan enters pending state - use /bernstein-approve to review and approve.
Once approved, planned tasks promote to open and agents start picking them up.

Reviewing plans

Run scripts/plan.sh list to see all plans and their status.
Show the plan with stages, dependencies, and estimated cost/time.

Tips

Keep stages to 2-5 tasks each
Use depends_on to enforce ordering (foundation before implementation)
Assign appropriate roles: backend, frontend, qa, security, devops, docs
Mark risky tasks with complexity: high - they'll get more capable models
Foundation stages should be tiny or small scope

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/plan.sh1 KB

Frequently asked questions

What does the Bernstein Plan AI skill do?

Why use Bernstein Plan on TypingMind?

Because you install it once and use it with any model. Bernstein Plan 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 Bernstein Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sipyourdrink-ltd/bernstein/tree/main/packages/cursor-plugin/skills/bernstein-plan. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bernstein Plan?

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 Bernstein Plan?

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

Is the Bernstein Plan AI skill free?

Yes. It is published on GitHub by sipyourdrink-ltd under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Bernstein Plan Mode

When to Use

Instructions

Creating a plan

Or submit via API

Reviewing plans

Tips

Bundled files

Frequently asked questions

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