semantic-release llms.txt
Browse semantic-release documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools.
What is semantic-release's llms.txt?
semantic-release publishes an /llms.txt file that provides AI systems with a structured index of its documentation. It follows the llms.txt specification, organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what semantic-release offers and where to find details.
Sections: beta · master · next
Add semantic-release Docs to Your AI Assistant
Select your tool to see how to add semantic-release's llms.txt as a documentation source.
- 1
Open any chat or composer panel
- 2
Type @Docs and select "Add new doc"
- 3
Paste the URL: https://semantic-release.gitbook.io/llms.txt
- 4
Wait for the green dot (indexing complete)
- 5
Reference @Docs in chat when asking about semantic-release
Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.
Frequently Asked Questions
semantic-release publishes its llms.txt at https://semantic-release.gitbook.io/llms.txt. This file provides a structured, markdown-formatted index of semantic-release's documentation that AI systems can consume to understand the project's APIs, guides, and references.
Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of semantic-release's documentation so it can provide better code suggestions and answers about semantic-release.
semantic-release's llms.txt contains 3 sections and 81 documentation links in 9.4 KB (~2.4k tokens). Key sections include beta, master, next.
The concise llms.txt index is approximately 2.4k tokens (9.4 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.
:package::rocket: Fully automated version management and package publishing. semantic-release's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with semantic-release.
Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.
Browse More llms.txt Files
飞书是先进企业协作与管理平台,一站式整合了即时消息、日历、云文档、视频会议等功能,通过顺畅沟通与高效协同,助力企业或团队组织升级。飞书开放平台是飞书利用对外开放的众多 OpenAPI,帮助飞书客户企业将自己的系统与飞书连接集成,打破系统间的壁垒,让信息传递更高效。
singlestoreSingleStore Inc. is a technology company offering a unified database platform designed for high-performance, real-time data processing. Our SingleStore database combines transactional and analytical capabilities in a modern relational architecture, supporting both cloud and on-premises deployments. By leveraging in-memory processing and scalable infrastructure, it enables rapid data ingestion and fast SQL analytics across diverse applications - including transactional systems, machine learning, and streaming analytics. Optimized for low latency, high throughput, and simplified operations, SingleStore provides built-in support for complex queries, distributed data storage, and seamless integrations to help organizations accelerate data-driven insights and meet demanding business needs.
LettaLetta is an open source framework for building stateful AI agents with persistent memory, tool execution, and multi-agent coordination.
SlidevPresentation slides for developers
Gradio 6 Migration GuideBuild and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Shuttle DocsGoodyVoltAgent: The Comprehensive Developer & LLM Guide (v1.0.x)VoltAgent is an open-source TypeScript framework designed for building, orchestrating, and observing sophisticated AI agents. It bridges the gap between the flexibility of pure code and the clarity of visual/no-code tools, providing structure without sacrificing control. Built specifically for the JavaScript/TypeScript ecosystem, VoltAgent empowers developers with modular components (Agents, Tools, Memory, RAG, Voice, Sub-agents) and integrates first-class observability through the dedicated VoltAgent VoltOps Platform.