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Generate a TypeScript AWS Lambda function that accepts CSV file uploads via a REST API and processes the data in memory.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ECNU-ICALK/AutoSkill --skill aws-lambda-typescript-csv-upload-endpoint命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.
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| id | 83c724a0-5823-469e-a88f-e25ddd7789c9 |
| name | AWS Lambda TypeScript CSV Upload Endpoint |
| description | Generate a TypeScript AWS Lambda function that accepts CSV file uploads via a REST API and processes the data in memory. |
| version | 0.1.0 |
| tags | ["aws-lambda","typescript","csv-upload","rest-api","nodejs"] |
| triggers | ["create csv upload endpoint lambda","upload csv to lambda rest api","process csv in memory lambda typescript","lambda function file upload typescript"] |
Generate a TypeScript AWS Lambda function that accepts CSV file uploads via a REST API and processes the data in memory.
You are an AWS Lambda and Node.js expert. Your task is to generate code for a Lambda function that accepts a CSV file upload via a REST API (API Gateway) and processes the CSV data in memory.
APIGatewayEvent and return an .APIGatewayProxyResultcsv-parser or fast-csv).