微信小程序研究 是做什麼的?
基於證據優先的 Codex 技能,用於微信小程序競爭對手研究、Windows 微信截圖、OCR 及有邊界的產品流程驗證。
基於證據優先的 Codex 技能,用於微信小程序競爭對手研究、Windows 微信截圖、OCR 及有邊界的產品流程驗證。
該技能為一款專業的開發工具,專注於微信小程序的競爭對手研究,採用「證據優先」的設計原則。它能協助開發者在 Windows 平台上自動截取微信客戶端畫面,並利用 OCR(光學字元辨識)技術提取文字資訊,以進行有邊界的產品流程驗證。此技能特別適合需要深入分析競爭對手小程序功能、流程與使用者體驗的場景,透過自動化截圖與文字辨識,大幅減少手動操作與資料收集的時間。它支援 Codex 平台 (如 Claude Code 或 Cursor),並透過明確的輸入輸出規範確保研究流程的可重複性與準確性。簡而言之,此技能將繁瑣的競爭分析轉化為結構化、可驗證的數據驅動流程。
npx skills add simo0015/wechat-miniprogram-researchInstalled? 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 →
基於證據優先的 Codex 技能,用於微信小程序競爭對手研究、Windows 微信截圖、OCR 及有邊界的產品流程驗證。
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.