Optimize Codebase

Community

krishnakanthb13

optimize_codebase

Identifies and refactors monolithic files (>2k lines) into modular, performance-safe component structures.

Overview

Publisher	krishnakanthb13
Repository	`antigravity_global_skills`
Skill name	`optimize_codebase`
Stars	66
Forks	11
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by krishnakanthb13 on GitHub. Read the source before you install it.

Installation

Install the Optimize Codebase 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/krishnakanthb13/antigravity_global_skills/tree/main/optimize_codebase
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/krishnakanthb13/antigravity_global_skills/tree/main/optimize_codebase

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/krishnakanthb13/antigravity_global_skills.git /tmp/antigravity_global_skills
mkdir -p .claude/skills
cp -r /tmp/antigravity_global_skills/optimize_codebase .claude/skills/optimize_codebase

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

Use it in TypingMind

Enable Optimize Codebase 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 Optimize Codebase 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 Optimize Codebase 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.

Optimize Code Base

Use this skill to clean up technical debt by checking for massive source files and logically breaking them down.

Inputs

Scope: The directory to scan.
Threshold: Line count limit (Default: 2000).

Tooling Strategy

Use list_dir to see file sizes.
Use view_file_outline to understand structure before splitting.
Use write_to_file to create new modular files.

Workflow

1. Analysis (The "Weigh-in")

Scan: Identify files in the relevant scope (HTML, Python, JS, etc.) that exceed 2,000 lines.
Assess: correct functionality is paramount. Does this file need to be this big (e.g., a generated asset), or is it just technical debt?
Comprehensive Tech Debt Scan:
- Code Debt: Identify duplicated code (copy-paste), high cyclomatic complexity (>10), deeply nested conditionals (>3 levels), and long methods (>50 lines).
- Architecture Debt: Look for missing abstractions, circular dependencies, and feature envy.
- Testing Debt: Check for untested critical paths or brittle, environment-dependent tests.
- Impact Assessment: Quantify the cost (e.g., "Developer velocity is impacted by changing this logic in 5 places").

2. The Refactoring Plan

Before touching any code, propose a strategy:

Target Folder: Create a new directory named after the monolithic file (e.g., app.js -> app/).
Modules: Identify distinct logical blocks (classes, helper functions, distinct UI sections) that can be extracted.
Dependencies: Map out how these new modules will import/export to each other to avoid circular dependencies.

3. Execution (The "Split")

Create Modules: Move code into smaller, purpose-built files.
Entry Point: Create an index file (or keep the original filename as a shell) that imports and aggregates the new modules, preserving the original external API.
Constraint: Do not change the logic. This is a refactor, not a rewrite.

4. Verification

Integrity: Ensure all imports are resolved.
Functionality: Run existing tests or walk through the critical path to ensure nothing broke.
Performance: verify that splitting the file didn't introduce significant load overhead (e.g., excessive network requests in a web context without bundling).

Frequently asked questions

What does the Optimize Codebase AI skill do?

Identifies and refactors monolithic files (>2k lines) into modular, performance-safe component structures.

Why use Optimize Codebase on TypingMind?

Because you install it once and use it with any model. Optimize Codebase 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 Optimize Codebase in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/krishnakanthb13/antigravity_global_skills/tree/main/optimize_codebase. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Optimize Codebase?

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 Optimize Codebase?

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

Is the Optimize Codebase AI skill free?

It is published on GitHub by krishnakanthb13. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Optimize Code Base

Inputs

Tooling Strategy

Workflow

1. Analysis (The "Weigh-in")

2. The Refactoring Plan

3. Execution (The "Split")

4. Verification

Frequently asked questions

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