AIDotNet

自动分析B站视频内容，下载视频并拆解成帧图片，使用AI分析并生成详细的专题文档或实操教程。

设计RESTful API并生成OpenAPI/Swagger规范文档，遵循行业最佳实践。包括端点命名、请求/响应模式和错误处理模式。

为GitHub Actions、GitLab CI、Azure DevOps和Jenkins生成CI/CD流水线，包含构建、测试、部署阶段、缓存和密钥管理。

全面的代码审查技能，分析代码质量、识别问题、安全漏洞，并提供带严重性评级的改进建议。

设计和优化数据库模式，支持PostgreSQL、MySQL、SQLite和MongoDB。包括ER建模、规范化、索引优化和迁移脚本生成。

创建和管理多容器应用的Docker Compose配置，包含生产级设置、健康检查和网络配置。

生成全面的文档，包括README文件、API文档、代码注释（JSDoc、docstrings、XML）和架构文档。

生成Express.js REST API，包含TypeScript、中间件、验证、错误处理和认证模式。

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When GLM needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

Process, transform, analyze, and report on CSV and JSON data files. Use when the user needs to filter rows, join datasets, compute aggregates, convert formats, deduplicate, or generate summary reports from tabular data. Works with any CSV, TSV, or JSON Lines file.

Generate professional email drafts using Python templates. Use when the user needs to compose business emails, follow-ups, introductions, meeting requests, or other professional correspondence. Supports multiple tones, languages, and email types with structured output.

Read, write, analyze, and format Excel spreadsheets (.xlsx). Use when the user needs to create Excel files, extract data from spreadsheets, apply formulas, format cells, or generate Excel reports from data. Supports multiple sheets, charts, and conditional formatting.

Extract text from images using Python OCR. Use when the user wants to read text from screenshots, photos of documents, scanned pages, or any image containing text. Supports PNG, JPEG, TIFF, BMP, and WebP formats.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When GLM needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

Scrape web pages, search the internet, and extract structured content using Python. Use when the user wants to fetch a webpage, search for information online, extract links, or crawl JavaScript-rendered dynamic pages.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When GLM needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

any input (code, docs, papers, images, videos) to knowledge graph. Use when user asks any question about a codebase, documents, or project content - especially if graphify-out/ exists, treat the question as a /graphify query.

Deliberate reasoning skill: enforce multi-step analysis, hypothesis testing, and option evaluation before answering complex questions