Integrate Firecrawl `/scrape` into product code for single-page extraction. Use when an app already has a URL and needs markdown, HTML, links, screenshots, metadata, or structured page output. Prefer this skill over broader crawl patterns when the feature is page-level.
npx skills add https://github.com/firecrawl/skills/tree/main/skills/firecrawl-build-scrapeIntegrate Firecrawl /scrape into product code for single-page extraction. Use when an app already has a URL and needs markdown, HTML, links, screenshots, metadata, or structured page output. Prefer this skill over broader crawl patterns when the feature is page-level.
This repo contains 3 individual skills — each has its own dedicated page.
Integrate Firecrawl `/interact` into product code for dynamic pages and browser actions after scraping. Use when a feature needs clicks, form fills, pagination, authentication-aware flows, or other multi-step interactions that plain `/scrape` cannot complete.
Get Firecrawl credentials and SDK setup into a project. Use when an application needs `FIRECRAWL_API_KEY`, when an agent should add Firecrawl to `.env`, when the user wants to authenticate Firecrawl for app code, or when choosing the first SDK and docs for a new Firecrawl integration. This skill includes its own browser auth flow, so it does not depend on the website onboarding skill.
Integrate Firecrawl `/search` into product code and agent workflows. Use when an app needs discovery before extraction, when the feature starts with a query instead of a URL, or when the system should search the web and optionally hydrate result content.
Fleet Pi , workspace for Pi-powered coding agents, with durable plans, memory, and repo-scoped tools
Orchestrate multi-agent AI workflows using open-source neural networks for internal support and structured data extraction in enterprise environments.
Apply ML training loops to prompt engineering — run evals, LLM-grade outputs, and track pass rates to iteratively improve Claude Code skills
End-to-end research workflow skill for Claude Code — adversarial validation gates across the full research lifecycle (explore through review and rebuttal).
Recently updated AI agent skill repository: Dlalmlurn/log-ai-assistant
Paperzilla Agent skills for OpenClaw, Claude Cowork/Code, Codex, ...