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Reduce Similarities

OrganizationPopular
ccusage
reduce-similarities

Detects duplicated Rust code with the dev-shell similarity-rs CLI. Use when reviewing .rs files for repeated functions, impl methods, or parallel struct and enum definitions, or before extracting a shared helper.

Overview

Publisherccusage
Repositoryccusage
Skill namereduce-similarities
Stars
19K
Forks
871
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 ccusage on GitHub. Read the source before you install it.

Installation

Install the Reduce Similarities 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/ccusage/ccusage/tree/main/.agents/skills/reduce-similarities
  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/ccusage/ccusage.git /tmp/ccusage
mkdir -p .claude/skills
cp -r /tmp/ccusage/.agents/skills/reduce-similarities .claude/skills/reduce-similarities
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reduce Similarities 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 Reduce Similarities 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 Reduce Similarities 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.

Rust Code Similarity Detection

similarity-rs comes from the Nix dev shell (similarity in nix/dev-shell.nix); prefix it with direnv exec . from outside the shell. TypeScript duplication belongs to the typescript and ast-grep skills.

Run it over $ARGUMENTS, or over . when none was given. Functions and type definitions are separate passes, so a default run silently misses parallel structs and enums:

bash
similarity-rs . --threshold 0.85 --min-lines 5
similarity-rs . --threshold 0.85 --experimental-types

--print shows the matching snippets and similarity-rs --help has the rest; --skip-test is worth adding when fixture-shaped test functions drown out the real findings.

Triage

A score is a starting point, not a verdict. Usually worth refactoring:

  • 100% matches: extract a shared function or generic.
  • 95-100% across different types: generic function with trait bounds.
  • Duplicate impl methods on several types: trait with default implementations.
  • 85-95% match arms or error handling: shared helper or macro.
  • Parallel structs with identical fields: shared base or generic struct.

Usually left alone: short new() constructors, simple From/Into impls, and anything a derive would generate.

Report each surviving candidate as a concrete before/after shape, not as a list of scores.

Frequently asked questions

What does the Reduce Similarities AI skill do?

Detects duplicated Rust code with the dev-shell similarity-rs CLI. Use when reviewing .rs files for repeated functions, impl methods, or parallel struct and enum definitions, or before extracting a shared helper.

Why use Reduce Similarities on TypingMind?

Because you install it once and use it with any model. Reduce Similarities 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 Reduce Similarities in TypingMind?

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

Which AI models can use Reduce Similarities?

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 Reduce Similarities?

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

Is the Reduce Similarities AI skill free?

It is published on GitHub by ccusage. 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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