微信小程序研究 是做什么的？
面向微信小程序竞品研究、Windows 微信抓取、OCR 及有界产品流程验证的、以证据为先的 Codex 技能。
以证据为先的 Codex 技能，适用于微信小程序竞品研究、Windows 微信抓取、OCR 及有界产品流程验证。
该技能专为 AI 代理（如 Codex）设计，用于进行系统化的微信小程序竞品研究。它采用“证据优先”的方法，核心能力包括：在 Windows 平台上捕获微信小程序界面、利用 OCR 技术提取文本，以及执行有界产品流程验证。这对于需要客观评估微信小程序生态内竞争格局或用户流程的开发者和产品经理极为有用。通过自动化的捕获与 OCR，该技能能够生成可重现的证据链，支持基于事实的决策，并可与支持 Codex skill 的平台（如 Cursor 或 Codex CLI）集成。
npx skills add simo0015/wechat-miniprogram-researchInstalled? 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 →
面向微信小程序竞品研究、Windows 微信抓取、OCR 及有界产品流程验证的、以证据为先的 Codex 技能。
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.