data-feeds

Extract structured data from 40+ websites including Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and more. Uses Bright Data's Web Data APIs with automatic polling. Returns clean JSON with product details, profiles, reviews, posts, and comments.

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仓库: davila7/claude-code-templates
最近来源活动: 2026年3月13日 23:18
检测到的 SKILL.md 语言: 英语
星标: 33,360
Forks: 3,917

安装方式

默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。

用 AI 助手安装

复制这段 Prompt，发给你正在使用的 AI 助手。

Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/web-data/data-feeds.

直接命令不会经过审查 Prompt；运行前请先检查来源。

npx skills add https://github.com/davila7/claude-code-templates --skill data-feeds

命令会保持在同一行。复制前请横向滚动并检查完整内容。

想先保存到本地？可下载 SkillsMP 当前能够提供的文件。

检查来源文件

决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。

文件资源管理器

3 个文件

SKILL.md

来源说明 · 只读预览

name	data-feeds
description	Extract structured data from 40+ websites including Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and more. Uses Bright Data's Web Data APIs with automatic polling. Returns clean JSON with product details, profiles, reviews, posts, and comments.

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senior-frontend

You MUST use this whenever you build, change or review user interface code, including small UI tweaks and when the user is in a hurry: pages, components, forms, lists, tables, modals, navigation, layout or styling in React, Next.js, Vue, Svelte, Astro or plain HTML/CSS/Tailwind. Reuse the project's own components and tokens, design every state (loading, empty, error, long content), make it work with a keyboard and a screen reader and at phone width, then open it in a real browser and check it before saying it is done.

2026-11-11

render-deploy

Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.

2026-11-08

technical-debt-auditor

Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO/FIXME/HACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like "where should I focus refactoring", "find code smells", "audit my codebase", "what technical debt do we have", "prioritize cleanup work", or asks about code quality metrics. Also trigger when the user mentions "code rot", "legacy cleanup", "refactoring priorities", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say "technical debt" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.

2026-11-08

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data-feeds

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