Web Performance Optimization

Q: Why use Web Performance Optimization on TypingMind?

Because you install it once and use it with any model. Web Performance Optimization 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.

Q: How do I install Web Performance Optimization in TypingMind?

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

Q: Which AI models can use Web Performance Optimization?

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.

Q: How many AI models can I use with Web Performance Optimization?

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

Q: Is the Web Performance Optimization 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.

Q: 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.

Q: 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.

Community

krishnakanthb13

web_performance_optimization

Optimize website and web application performance including loading speed, Core Web Vitals, bundle size, caching strategies, and runtime performance.

Overview

Publisher	krishnakanthb13
Repository	`antigravity_global_skills`
Skill name	`web_performance_optimization`
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 Web Performance Optimization 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/web_performance_optimization
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/web_performance_optimization

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/web_performance_optimization .claude/skills/web_performance_optimization

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

Use it in TypingMind

Enable Web Performance Optimization 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 Web Performance Optimization 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 Web Performance Optimization 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.

Web Performance Optimization

Help developers optimize website and web application performance to improve user experience, SEO rankings, and conversion rates. This skill provides systematic approaches to measure, analyze, and improve loading speed, runtime performance, and Core Web Vitals metrics.

Workflow

Measure Current Performance:
- Run Lighthouse audits
- Measure Core Web Vitals (LCP, FID, CLS)
- Check bundle sizes and network waterfall
Identify Issues:
- Large JavaScript bundles or unoptimized images
- Render-blocking resources
- Layout shifts or slow server response times
Prioritize Optimizations:
- Focus on high-impact improvements (critical rendering path, image optimization, code splitting).
Implement Optimizations:
- Optimize assets, add caching headers, lazy load non-critical resources.
Verify Improvements:
- Compare before/after metrics and monitor real user metrics.

Core Strategies

Images: Convert to WebP/AVIF, implement responsive images, specify dimensions, and use lazy loading.
JavaScript: Keep bundles under 200KB. Code split and remove unused dependencies. Delay non-critical JS.
CSS: Inline critical CSS, defer the rest, remove unused CSS.
Core Web Vitals Guide:
- LCP (< 2.5s)
- FID (< 100ms)
- CLS (< 0.1)

End-to-End Optimization (Advanced)

If coordinating optimization across the entire stack:

Performance Profiling & Observability: Generate flame graphs (CPU) and heap dumps (memory) to identify hot paths. Assess distributed tracing (OpenTelemetry) and APM tool integration.
Database & Backend: Analyze slow query logs, create missing indexes, optimize execution plans, implement query result caching (Redis). Fix N+1 queries. Implement pagination and response compression.
Frontend & CDN/Edge: Code split, tree shake, lazy load. Configure edge caching (CloudFlare/CloudFront), HTTP/2/3, Brotli compression, and WebP/AVIF images.
Mobile & PWA: Implement service workers for offline functionality. Adaptive loading for slow networks. Virtual scrolling for long lists.
Load Testing & Validation: Design realistic load scenarios using k6/Gatling to test normal, peak, and stress levels before deploying optimizations.

Frequently asked questions

What does the Web Performance Optimization AI skill do?

Optimize website and web application performance including loading speed, Core Web Vitals, bundle size, caching strategies, and runtime performance.

Why use Web Performance Optimization on TypingMind?

Because you install it once and use it with any model. Web Performance Optimization 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 Web Performance Optimization in TypingMind?

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

Which AI models can use Web Performance Optimization?

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 Web Performance Optimization?

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

Is the Web Performance Optimization 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

Web Performance Optimization

Workflow

Core Strategies

End-to-End Optimization (Advanced)

Frequently asked questions

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