Individual skill
firecrawl-reference-architecture
Design a production Firecrawl v2 ingestion system with policy gateway, bounded acquisition, validation, provenance, storage, indexing, observability, and deletion. Use when building a reusable platform. Trigger with "Firecrawl reference architecture", "Firecrawl ingestion system", or "Firecrawl RAG pipeline".
plugins/saas-packs/firecrawl-pack/skills/firecrawl-reference-architecture/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- firecrawl Declared skill tag
- architecture Declared skill tag
- ingestion Declared skill tag
- engineering Derived category
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# Firecrawl Governed Ingestion Architecture
## Overview
Create explicit trust boundaries from request intake through deletion. Keep source discovery, content retrieval, validation, and downstream publication independently retryable and auditable.
## Prerequisites
- The target repository or integration path and the requested operator outcome.
- The source authorization, data classification, and environment policy.
- Current Firecrawl documentation, credentials only when needed, and an owner for approvals.
## Current Contract
Firecrawl v2 provides scrape, crawl, map, search, batch scrape, parse, JSON extraction, agentic, and browser surfaces with different async, credit, retention, and availability contracts. The SDK can auto-wait and paginate, while explicit start/status methods support durable orchestration. Provider webhooks supplement but do not replace reconciliation.