Back Forward Cache

CommunityPopular

thedaviddias

back-forward-cache

Use when reviewing navigation performance, browser lifecycle events, or resume-from-memory behavior. Check the actual browser lifecycle and restore path, not only static code patterns.

Overview

Publisher	thedaviddias
Repository	`Front-End-Checklist`
Skill name	`back-forward-cache`
Stars	74.2K
Forks	6.7K
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by thedaviddias on GitHub. Read the source before you install it.

Installation

Install the Back Forward Cache 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/thedaviddias/Front-End-Checklist.git /tmp/Front-End-Checklist
mkdir -p .claude/skills
cp -r /tmp/Front-End-Checklist/skills/back-forward-cache .claude/skills/back-forward-cache

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

Use it in TypingMind

Enable Back Forward Cache 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 Back Forward Cache 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 Back Forward Cache 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 pages for back/forward cache

Back/forward cache turns many browser back and forward navigations into near-instant restores because the entire page is resumed from memory instead of being rebuilt from the network. Losing bfcache eligibility makes common navigations feel far slower than they need to.

Quick Reference

Never add an unload listener - it is the most common bfcache blocker
Use pagehide and pageshow instead of assuming every navigation reloads
Refresh time-sensitive state when pageshow.persisted is true
Keep beforeunload conditional and remove it when there are no unsaved changes
Verify eligibility in DevTools instead of assuming a page is cacheable

Check

Review this route for back/forward cache blockers. Search for unload or unconditional beforeunload listeners, state that assumes every navigation is a full reload, and resource lifecycles that break when the page is resumed from memory.

Fix

Replace unload logic with pagehide and pageshow handlers, remove unnecessary blockers, and refresh only the time-sensitive state that must change after a bfcache restore.

Explain

Explain how the back/forward cache differs from HTTP caching, why unload blocks it, and how pageshow/pagehide should be used instead.

Code Review

Review route code, global listeners, analytics hooks, and data-refresh logic related to Optimize pages for back/forward cache. Flag exact listeners, APIs, or lifecycle assumptions that prevent a restore or leave stale state after a restore.

For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/en/rules/performance/back-forward-cache

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/rule.md5 KB

Frequently asked questions

What does the Back Forward Cache AI skill do?

Use when reviewing navigation performance, browser lifecycle events, or resume-from-memory behavior. Check the actual browser lifecycle and restore path, not only static code patterns.

Why use Back Forward Cache on TypingMind?

Because you install it once and use it with any model. Back Forward Cache 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 Back Forward Cache in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedaviddias/Front-End-Checklist/tree/main/skills/back-forward-cache. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Back Forward Cache?

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 Back Forward Cache?

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

Is the Back Forward Cache AI skill free?

It is published on GitHub by thedaviddias. 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 pages for back/forward cache

Quick Reference

Check

Fix

Explain

Code Review

Bundled files

Frequently asked questions

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