How real projects summarise themselves for language models.
garrytanllms.txtgarrytan/gstack/gstack/llms.txt
read it, click through a flow, take screenshots, check console errors. - [/canary](canary/SKILL.md): Post-deploy canary monitoring. - [/careful](careful/SKILL.md): Safety guardrails for destructive commands. - [/claude-code](claude-code/SKILL.md): Claude Code
koala73llms.txtkoala73/worldmonitor/public/llms-full.txt
# World Monitor > Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and
Microsoftllms.txtmicrosoft/ai-agents-for-beginners/15-browser-use/llms.txt
# Check Balance Source: https://docs.browser-use.com/api-reference/accounts/check-balance https://api.browser-use.com/api/v1/openapi.json get /balance Returns the user
mem0aillms.txtmem0ai/mem0/docs/llms.txt
Migration](https://docs.mem0.ai/migration/oss-v2-to-v3) [OSS]: Use when upgrading a self-hosted deployment across major versions. - [Platform v2 to v3 Migration](https://docs.mem0.ai/migration/platform-v2-to-v3) [Platform]: Use when upgrading a Platform integration
LangChainllms.txtlangchain-ai/langgraph/docs/llms.txt
/oss/python/langgraph/changelog-py.md) - [Checkpointers](https://docs.langchain.com/oss/python/langgraph/checkpointers.md) - [Choosing between Graph and Functional APIs](https://docs.langchain.com/oss/python/langgraph/choosing-apis.md) - [Deployment](https://docs.langchain.com/oss/python/langgraph/deploy.md) - [GRAPH_RECURSION_LIMIT](https://docs.langchain.com/oss/python/langgraph/errors/GRAPH_RECURSION_LIMIT.md) - [INVALID_CHAT_HISTORY](https://docs.langchain.com/oss/python/langgraph/errors/INVALID_CHAT_HISTORY.md)
OpenAIllms.txtopenai/openai-agents-python/docs/llms-full.txt
tracked, how to retrieve usage metadata, and how to forecast cost for different deployment patterns. - [Configuration](https://openai.github.io/openai-agents-python/config/): Centralized reference for tuning model settings, retries, rate limits, timeouts, logging
alirezarezvanillms.txtalirezarezvani/claude-skills/docs/llms-full.txt
/alirezarezvani/claude-skills - **Documentation site:** https://alirezarezvani.github.io/claude-skills/ - **Author:** Alireza Rezvani - **License:** MIT (free to extract, deploy, adapt, and redistribute) - **Distribution:** Claude Code plugin marketplace (`.claude-plugin/marketplace.json`) and the ClawHub registry
alirezarezvanillms.txtalirezarezvani/claude-skills/docs/llms.txt
llms-full.txt](https://alirezarezvani.github.io/claude-skills/llms-full.txt). Key facts for agents: - **License:** MIT. Free to extract, deploy, and adapt. - **Repository:** https://github.com/alirezarezvani/claude-skills - **Distribution:** Claude Code plugin marketplace + ClawHub registry. - **Design philosophy:** Algorithm
NirDiamantllms.txtNirDiamant/GenAI_Agents/llms.txt
same author - [agents-towards-production](https://github.com/NirDiamant/agents-towards-production): Taking agents from prototype to deployed product. - [RAG_Techniques](https://github.com/NirDiamant/RAG_Techniques): 41 notebooks on Retrieval-Augmented Generation. - [Agent_Memory_Techniques
NirDiamantllms.txtNirDiamant/agents-towards-production/llms.txt
production stack: orchestration, memory, retrieval, security and guardrails, observability and tracing, evaluation, deployment, GPU serving, fine-tuning and user interfaces. Each track stands alone and can be followed without
Evil0ctalllms.txtEvil0ctal/Douyin_TikTok_Download_API/llms.txt
administrator account, and one link parsed — from the console and from `curl`. - [Installation and deployment](https://github.com/Evil0ctal/Douyin_TikTok_Download_API/blob/main/documents/en/02-installation.md): The compose file service by service, every `DTK_*` variable, profiles, reverse proxies
tonhowtfllms.txttonhowtf/omniget/llms-full.txt
Windows 10 / 11 omniget_x.y.z_x64-setup.exe (installer) omniget_x.y.z_x64-portable.exe (no install, runs from anywhere) omniget_x.y.z_x64_en-US.msi (for IT deployments) winget install -e --id tonhowtf.OmniGet macOS 10.15+ omniget_x.y.z_aarch64.dmg for Apple Silicon (M1 and later) omniget_x.y.z_x64.dmg
AWSllms.txtaws/amazon-sagemaker-examples/llms.txt
Amazon SageMaker Examples > Example notebooks for building, training, and deploying models with the Amazon SageMaker > Python SDK **v3**. This repository targets **v3 only**; `pip install sagemaker` installs
lastmile-aillms.txtlastmile-ai/mcp-agent/LLMS.txt
StreetLamb)](https://github.com/StreetLamb) > for developing and contributing this example! ### Streamlit You can deploy mcp-agent apps using Streamlit. #### Gmail agent This app is able to perform read and write
NirDiamantllms.txtNirDiamant/Prompt_Engineering/llms.txt
Retrieval-Augmented Generation. - [agents-towards-production](https://github.com/NirDiamant/agents-towards-production): Taking agents from prototype to deployed product. - [Course, Prompt to Production](https://diamant-ai.com/courses): Building software with AI, taught systematically. - [Newsletter
anbeimellms.txtanbeime/skill/public/llms-full.txt
practices, upgrade-stripe - **Supabase** (1个) - postgres-best-practices - **Expo** (3个) - expo-app-design, expo-deployment, upgrading-expo - **Sentry** (7个) - code-review, commit, create-pr, find-bugs 等 - **Better Auth** (3个
FlorianBruniauxllms.txtFlorianBruniaux/claude-code-ultimate-guide/llms-full.txt
organizations can use Team or Enterprise for workforce access, and usage-based deployments can authenticate with supported API or cloud-provider credentials. These paths have different billing and administrative controls
KnockOutEZllms.txtKnockOutEZ/wigolo/llms.txt
docs/sdks.md): wigolo-sdk (TS), wigolo (Python), LangChain/CrewAI/LlamaIndex/Vercel AI SDK integrations - [Self-hosting](docs/self-hosting.md): VPS/Docker deployment, tokens, wiring n8n and remote agents, resource sizing, datacenter-IP limits, reverse proxies - [Skills](docs/skills.md
dagucloudllms.txtdagucloud/dagu/llms.txt
Example of Human Input ```yaml steps: - id: review action: human.task with: prompt: Choose the deployment target form: type: object properties: environment: type: string enum: [staging, production] note: type: string default
melgarafaelllms.txtmelgarafael/DeskcommCRM/public/llms.txt
setup of every integration - [Self-host on a VPS](https://github.com/melgarafael/DeskcommCRM/blob/main/docs/deploy-selfhost/README.md): docker compose deploy on any VPS ## Repository - [GitHub](https://github.com/melgarafael/DeskcommCRM): source code, issues, discussions
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.
