Documentos

Converts external documents (PDF, DOCX, PPTX, XLSX, HTML) into editable markdown. Use when ingesting external files for rewriting or project integration.

将epub用压缩软件打开修改� �中的opf文件 将<spine toc="ncx">改成<spine toc="ncx" page-progression-direction="rtl"搜索> 打开CSS文件，在body的大括号中添加一行：-webkit-writing-mode : vertical-rl ; 在CSS文件中，将p的大括号里的text-align句子改成text-align: left;

[wget][wget] 是一个命令行的下载工? ?。对于我们这些 Linux 用户来说，几乎每天都在使用它。下面为大家介绍几个有用的 wget 小技巧，可以让你更加高效而灵活的使用 wget。 >$ wget -r -np -nd http://example.com/packages/ 这条命令可以下载 http://example.com 网站上 packages 目录中的所有文件。? ?中，-np 的作用是不遍历父目录，-nd…

RICE, MoSCoW, Kano, and value-effort prioritization frameworks with scoring methodologies and decision documentation. Use when prioritizing features, evaluating competing initiatives, creating roadmaps, or making build vs defer decisions.

Create and validate product requirements documents (PRD). Use when writing requirements, defining user stories, specifying acceptance criteria, analyzing user needs, or working on requirements.md files in .start/specs/.

Requirement gathering techniques, stakeholder analysis, user story patterns, and specification validation. Use when clarifying vague requirements, resolving conflicting needs, documenting specifications, or validating requirements with stakeholders.

Generate and maintain documentation for code, APIs, and project components

Product compliance and safety — certifications, labeling requirements, restricted substances, documentation

Category and brand ungating — requirements, documentation, appeal process, restricted categories guide

Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion pipelines, embedding stores, vector search, and semantic search capabilities. Use when building chat-with-documents systems, document Q&A over PDFs or text files, AI assistants with knowledge bases, semantic search over document repositories, or knowledge-enhanced AI applic

Creates, updates, validates, and displays the architectural DNA of a project through two shared documents: docs/specs/architecture.md (technology stack, architectural rules, security constraints, AI guardrails) and docs/specs/ontology.md (domain glossary / Ubiquitous Language). Use BEFORE brainstorm as a project setup step, or at any point in the SDD lifecycle to validate specs/tasks against archi

Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.