Token Efficiency logo

Token Efficiency

Organization
TheBushidoCollective
token-efficiency

Minimize token consumption through efficient tool usage patterns

Overview

PublisherTheBushidoCollective
Repositoryhan
Skill nametoken-efficiency
Stars
195
Forks
20
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 TheBushidoCollective on GitHub. Read the source before you install it.

Installation

Install the Token Efficiency 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.
  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/TheBushidoCollective/han.git /tmp/han
mkdir -p .claude/skills
cp -r /tmp/han/plugins/core/skills/token-efficiency .claude/skills/token-efficiency
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Token Efficiency 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 Token Efficiency 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 Token Efficiency 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.

Token Efficiency

Name

han-core:token-efficiency

Description

Minimize token consumption without sacrificing quality. Every token spent on overhead is a token not available for thinking.

File Operations

  • Use Edit for modifications — sends only the diff (~50-100 tokens), not the whole file
  • Use Write only for new files — full file content costs ~500-5000 tokens
  • Never re-read a file you just wrote — you already know its contents
  • Batch related edits to the same file in one Edit call

Search Operations

  • Use Glob for file finding — faster and cheaper than Bash find
  • Use Grep for content search — cheaper than Bash grep
  • Set head_limit on Grep — avoid returning thousands of matches

Context Management

  • Don't repeat what the user said — they can see their own message
  • Lead with the answer — skip preamble and filler
  • Use structured output — tables and lists over prose for data

Anti-Patterns

WastefulEfficient
Read file → Write entire file with 1 line changedEdit the specific line
cat file.txt via BashRead tool
find . -name "*.ts" via BashGlob **/*.ts
"Let me start by reading the file to understand..."Just read it

When to Apply

Always. Token efficiency is not premature optimization — it directly extends how much work fits in a session.

Frequently asked questions

What does the Token Efficiency AI skill do?

Minimize token consumption through efficient tool usage patterns

Why use Token Efficiency on TypingMind?

Because you install it once and use it with any model. Token Efficiency 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 Token Efficiency in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheBushidoCollective/han/tree/main/plugins/core/skills/token-efficiency. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Token Efficiency?

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 Token Efficiency?

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

Is the Token Efficiency AI skill free?

It is published on GitHub by TheBushidoCollective. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇