Context Engineering for Coding Agents
面向 2026 年 AI 工作流的专业内容:Package the right files, constraints, architecture notes, and acceptance checks before asking a coding agent to edit a repo.
来自 skills.sh 生态的可复用 Agent Skill。 firecrawl from firecrawl/cli: Web scraping, search, crawling, and browser automation with LLM-optimized markdown output.
firecrawl is a reusable agent skill listed on skills.sh under firecrawl/cli. skills.sh rank #196, installs 55.7K, GitHub stars 419, first seen Jan 21, 2026.
Web scraping, search, crawling, and browser automation with LLM-optimized markdown output. Supports six command modes: search for discovery, scrape for single URLs, map to locate subpages, crawl for bulk site sections, browser for interactive content, and download for offline archives Returns clean markdown formatted for LLM context windows; write results to .firecrawl/ directory to avoid redundant fetches and manage large outputs Includes escalation workflow: start with search or scrape, use map to find specific URLs within sites, switch to browser when content requires clicks, form fills, or login interactions Parallel job execution up to concurrency limit; check firecrawl --status for remaining credits and active job slots before running bulk operations
SKILL.md and only load extra files referenced by that skill.npx skills add https://github.com/firecrawl/cli --skill firecrawlIs firecrawl an agent, a prompt, or a skill?
It is a skill: a reusable package of task-specific instructions and supporting files that an agent can load when the user's request matches the workflow.
Should I install it automatically?
Only after checking the repository, install command, audit status, and whether the user wants this capability in the current agent environment.
What makes it useful for AIDreamHub users?
It helps users discover practical agent capabilities from the open skills ecosystem and compare them by task, source, install count, and operational risk.
npx skills add https://github.com/firecrawl/cli --skill firecrawlnpx skills add https://github.com/firecrawl/cli --skill firecrawl面向 2026 年 AI 工作流的专业内容:Package the right files, constraints, architecture notes, and acceptance checks before asking a coding agent to edit a repo.
面向 2026 年 AI 工作流的专业内容:Manage prompts like production code with versions, eval sets, release notes, and rollback criteria.
面向 2026 年 AI 工作流的专业内容:Design agent workflows that use MCP tools safely, with permissions, secrets, audit logs, and human approvals.
面向 2026 年 AI 工作流的专业内容:Write reusable agent skills with clear triggers, workflows, assets, quality gates, and safe boundaries.