Simplify

Organization

ww-w-ai

simplify

Review changed code for reuse, quality, and efficiency, then fix any issues found. Use after PDCA Check >= 90% or when code review is needed. Triggers: simplify, clean code, refactor, reduce complexity, 간소화, 코드 정리, リファクタリング, コード整理, 简化, 代码清理, simplificar, simplifier, vereinfachen, semplificare

Overview

Publisher	ww-w-ai
Repository	`bkit-gemini`
Skill name	`simplify`
Stars	66
Forks	16
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Simplify 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.
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.

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/ww-w-ai/bkit-gemini.git /tmp/bkit-gemini
mkdir -p .claude/skills
cp -r /tmp/bkit-gemini/skills/simplify .claude/skills/simplify

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

Use it in TypingMind

Enable Simplify 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 Simplify 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 Simplify 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.

Simplify — Code Quality Review and Improvement

Review changed code for reuse, quality, and efficiency, then fix any issues found.

When to Use

After PDCA Check phase reaches >= 90% match rate.
When code review is needed before merging.
When refactoring is requested.

4-Step Workflow

Step 1: Collect Changed Files

Run git diff --name-only (and git diff --cached --name-only for staged files) to identify all recently changed files.

Filter to relevant source files only (exclude lockfiles, generated files, build artifacts).

Output: List of files to review.

Step 2: Analyze Each File

For each changed file, analyze for:

Category	What to Look For
Duplicate code	Repeated logic that can be extracted into shared functions
Unnecessary complexity	Nested conditionals, long functions, over-engineering
Naming improvements	Unclear variable/function names, inconsistent conventions
Unused code	Dead imports, unreachable branches, commented-out blocks
Error handling	Missing try/catch, unhandled edge cases
Performance	Unnecessary loops, redundant operations, missing caching

Output: Issue table per file.

Step 3: Apply Improvements

For each identified issue:

Apply the fix automatically using replace tool.
Ensure the fix does not change external behavior.
Preserve existing test coverage.

Rules:

Do NOT change public API signatures without confirmation.
Do NOT remove code that appears unused if it is exported.
Keep changes minimal and focused.

Step 4: Output Change Summary

Present a summary table of all changes made:

File	Change Type	Before	After	Impact
...	Dedup	3 copies	1 shared function	-20 lines
...	Naming	`tmp`	`userSession`	Readability
...	Dead code	Unused import	Removed	Clean

Final output:

Total files reviewed
Total issues found
Total issues fixed
Lines added / removed

References

Use project's existing linting rules and conventions.
Respect .eslintrc, .prettierrc, or equivalent config files.

Frequently asked questions

What does the Simplify AI skill do?

Why use Simplify on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-gemini/tree/main/skills/simplify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Simplify?

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 Simplify?

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

Is the Simplify AI skill free?

Yes. It is published on GitHub by ww-w-ai 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.

View all

Requesting Code Review

obra

CommunityPopular

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Test Driven Development

obra

CommunityPopular

Use when implementing any feature or bugfix, before writing implementation code

Using Git Worktrees

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Simplify — Code Quality Review and Improvement

When to Use

4-Step Workflow

Step 1: Collect Changed Files

Step 2: Analyze Each File

Step 3: Apply Improvements

Step 4: Output Change Summary

References

Frequently asked questions

Related AI Skills

Set up your own AI workspace now