hookradar-agent-skill 是做什麼的？
將您的AI代理連接到HookRadar，以自動化競爭性創意研究並透過MCP標準分析廣告成效數據。
將您的AI代理連接到HookRadar，以自動化競爭性創意研究並透過MCP標準分析廣告成效數據。
此技能允許AI代理（例如Claude Code、Cursor或Codex）透過MCP（模型上下文協定）標準與HookRadar平台整合。它使開發人員和行銷分析師能夠自動化競爭性創意研究，直接從廣告效能數據中提取洞察，無需手動API查詢。支援多種AI代理平台，它透過結構化的MCP工具簡化工作流程，讓您的代理可以檢索廣告創意、分析衡量指標並監控競爭對手動向。此技能對於希望優化廣告策略、節省研究時間並透過AI驅動的數據分析保持競爭優勢的團隊特別有用。
npx skills add Anagogic-blastinggelatin157/hookradar-agent-skillInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
將您的AI代理連接到HookRadar，以自動化競爭性創意研究並透過MCP標準分析廣告成效數據。
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.