firecrawl_skill 是做什么的？
此 Codex 技能将 Firecrawl 网络采集功能与持久化、可审计的研究语料库相结合。
此 Codex 技能将 Firecrawl 网络采集功能与持久化、可审计的研究语料库相结合。
fvanevski/firecrawl_skill 是一项针对 Codex 平台的 AI 技能，其核心价值在于结合了 Firecrawl 强大的网络数据采集能力与一个持久化、可审计的研究语料库。该技能非常适合开发者和研究人员，用于自动化地从网页中提取结构化数据，并将这些数据存储在一个可追溯、可验证的本地语料库中。它解决了传统网络抓取工具缺乏数据持久性和审计追踪的问题，确保每次采集的数据都有完整的记录，便于后续分析和合规性审查。此技能适用于需要频繁进行网络研究、竞争情报分析或构建知识库的场景，并且完全兼容 Codex 的工作流。
npx skills add fvanevski/firecrawl_skillInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
此 Codex 技能将 Firecrawl 网络采集功能与持久化、可审计的研究语料库相结合。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.