Progressive four-tier URL content scraping with automatic fallback strategy. USE WHEN user says "scrape this URL", "fetch this page", "get content from", "can't access this site", "use Bright Data", "pull content from URL", or needs to retrieve web content that may have bot detection or access restrictions.
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安装前可以查看交给 AI 代理的指令内容。
CRITICAL: This workflow implements progressive escalation for URL content retrieval.
When user requests scraping/fetching URL content: Examples: "scrape this URL", "fetch this page", "get content from [URL]", "pull content from this site", "retrieve [URL]", "can't access this site", "this site is blocking me", "use Bright Data to fetch" → READ: ${PAI_DIR}/skills/brightdata/workflows/four-tier-scrape.md → EXECUTE: Four-tier progressive scraping workflow (WebFetch → Curl → Browser Automation → Bright Data MCP)
Progressive Escalation Strategy:
Key Features:
four-tier-scrape.md - Complete URL content scraping with four-tier fallback strategy
Integration Points:
mcp__Brightdata__scrape_as_markdown for advanced scrapingWhen Each Tier Is Used:
Configuration: No configuration required - all tools are available by default in Claude Code
Example 1: Simple Public Website
User: "Scrape https://example.com"
Skill Response:
Example 2: Site with JavaScript Requirements
User: "Can't access this site https://dynamic-site.com"
Skill Response:
Example 3: Site with Advanced Bot Detection
User: "Scrape https://protected-site.com"
Skill Response:
Example 4: Explicit Bright Data Request
User: "Use Bright Data to fetch https://difficult-site.com"
Skill Response:
Related Documentation:
${PAI_DIR}/skills/CORE/SKILL-STRUCTURE-AND-ROUTING.md - Canonical structure guide${PAI_DIR}/skills/CORE/CONSTITUTION.md - Overall Kai philosophyLast Updated: 2025-11-23
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Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
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Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
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Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
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This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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