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Independent project, not affiliated with Anthropic
secondsky avatar

Progressive Web App

secondsky/claude-skills
394 installs204 stars
Summary

This covers the core pieces you need to turn a web app into something users can install and use offline. You get service worker patterns for cache-first fetching, a manifest setup for the home screen icon, and the beforeinstallprompt handler so you can control when to show the install button. The push notification snippet is here too if you need it. Good for when you want your app to feel more native without actually building native, or when offline support matters for your users. The checklist at the end is a practical reminder of what actually needs to happen before browsers will consider it installable.

Install to Claude Code

npx -y skills add secondsky/claude-skills --skill progressive-web-app --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Files
SKILL.md

Select a file.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Categories
Backend & APIs
First SeenJun 3, 2026
View on GitHub

More from secondsky/claude-skills

All 146 skills →
  • Architecture Patterns393
  • Better Auth392
  • Api Security Hardening389
  • Mobile App Testing389
  • Access Control Rbac384
  • Payment Gateway Integration382
  • React Native Skills381
  • Technical Specification381
  • Ml Model Training380
  • Api Contract Testing378
  • Api Reference Documentation376
  • Tanstack Router376
  • Systematic Debugging370
  • Frontend Design369
  • Test Quality Analysis367
  • Csrf Protection364
  • Interaction Design364
  • Sequential Thinking362
  • Api Design Principles361
  • Api Error Handling357
  • Internationalization I18n357
  • Threejs357
  • Mobile App Debugging356
  • Root Cause Tracing353

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sentinelcore/roblox-skills

Use when implementing client-server communication in Roblox, firing events between LocalScripts and Scripts, passing data across the network boundary, syncing game state, or defending against exploits that abuse RemoteEvents or RemoteFunctions.
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alchaincyf/huashu-weread

微信读书高阶顾问。在底层 weread skill 的原子 API 之上,提供四类工作流:基于已读做个性化进阶推荐(advisor)、给方向规划入门到前沿的阶梯书单(path)、把零散划线想法提炼成读书笔记总结(alchemy)、做季度/年度阅读复盘并生成可发朋友圈/公众号的文章(review)。核心方法是「书架 + 笔记交叉分析」——书架揭示用户主动分类的兴趣,笔记数据揭示「真读过的」vs「只放着的」。当用户说「推荐书」「下一本读啥」「该读什么」「想搞懂 X 这个领域」「整理我的笔记」「这本书我记住了啥」「我今年读了什么」「读书复盘」「年度盘点」时触发。即使用户只是说「不知道读啥」「有没有相关的书」「帮我看看这本读完了吗」「这个领域我入门了吗」也应触发。
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Autonomous multi-round research review loop. Repeatedly reviews via external reviewer backend (Codex or manual), implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
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