How real projects summarise themselves for language models.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
NangoHQReads credentialsllms.txtNangoHQ/nango/docs/llms-full.txt
APIs, and customize behavior per customer while keeping the implementation in code you can review, test, and version control. ## How it works Embed Nango Auth in your product so users
No other project uses it yet
NangoHQllms.txtNangoHQ/nango/docs/llms.txt
Customize per customer](https://nango.dev/docs/getting-started/use-cases/customer-configuration.md): Adapt integration behavior for each customer without forking code. - [Use cases: React to connection lifecycle events](https://nango.dev/docs/getting-started/use-cases/implement-event-handler.md): Run integration logic when
No other project uses it yet
tw93llms.txttw93/Kami/site/llms.txt
kami` - Claude Desktop: download the release asset `kami.zip` from GitHub Releases (not the source-code ZIP) and upload it via Customize > Skills > "+" > Create skill - MCP client: `claude mcp add kami
Steady12 mentions in 2 weeks
No other project uses it yet
HKUSTDialllms.txtHKUSTDial/Supervisor-Skills/llms.txt
research discovery, idea evaluation, paper planning, drafting, polishing, figure design and reconstruction, pre-submission review, and AI-assisted research workflow. Usable as a standalone Chinese curriculum at `handbook
No other project uses it yet
replicatellms.txtreplicate/cog/docs/llms.txt
# Cog: Containers for machine learning Cog is an open-source tool that lets you
No other project uses it yet
chaitanyagirillms.txtchaitanyagiri/munder-difflin/docs/llms-full.txt
source: a desktop app that runs a team of coding agents > such as Claude Code, Codex and Gemini CLI on your own computer. It is presented as a > virtual office
1 project uses a version of this
chaitanyagirillms.txtchaitanyagiri/munder-difflin/docs/llms.txt
Engines it runs: Claude Code, OpenAI Codex, Gemini CLI, Antigravity (Gemini), xAI Grok, Kimi Code, Qwen, OpenCode, Crush, pi.dev, GitHub Copilot CLI, Cursor, or any custom command. Your
1 project uses a version of this
themesbergllms.txtthemesberg/flowbite/llms-full.txt
# Flowbite Documentation > Flowbite is a free and open-source UI component library based on
No other project uses it yet
keanllms.txtkean/Nuke/llms-full.txt
# Nuke > The documentation of Nuke, an image loading system for Apple platforms, in one
Steady6 mentions in 2 weeks
No other project uses it yet
lastmile-aiReads credentialsllms.txtlastmile-ai/mcp-agent/LLMS.txt
requests, handle flight modifications, cancellations, and lost baggage cases. https://github.com/user-attachments/assets/b314d75d-7945-4de6-965b-7f21eb14a8bd **Link to code**: [examples/workflows/workflow_swarm](./examples/workflows/workflow_swarm/) ## Core Components The following are the building blocks of the mcp-agent framework
No other project uses it yet
zumerlabllms.txtzumerlab/snapdom/docs/llms-full.txt
# SnapDOM: v3 reference Last updated: 2026-10-28. SnapDOM (`@zumer/snapdom`) is a high-performance
Steady18 mentions in 2 weeks
No other project uses it yet
SciPhi-AIReads credentialsllms.txtSciPhi-AI/R2R/llms.txt
# Understanding Internals of R2R Library ## Table of Contents 1. [Introduction](#introduction) 2. [Installation](#installation
No other project uses it yet
anbeimellms.txtanbeime/skill/public/llms-full.txt
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) - best-practices, commands, create-auth
Steady10 mentions in 2 weeks
No other project uses it yet
HenryNdubuakullms.txtHenryNdubuaku/maths-cs-ai-compendium/llms.txt
production software engineering/04. testing and quality assurance.md): pytest, mocking, testing ML code, CI/CD, linting, code review - [Deployment and DevOps](chapter 15: production software engineering/05. deployment and devops.md): Docker, model serving
No other project uses it yet
tw93llms.txttw93/claude-health/llms.txt
Code, Codex, Cursor, Antigravity, OpenCode, Pi, and compatible agents. - `think`: pressure-test a requirement and produce a decision-complete plan - `ui`: build or polish a distinctive frontend interface - `check`: review
1 project uses a version of this
wesmllms.txtwesm/agentsview/docs/llms.txt
/docs/commands.md): Commands, flags, environment variables, recovery hints, JSON stderr diagnostics, and command-specific exit codes. ## Monitor and Account - [Activity](https://agentsview.io/docs/activity.md): Activity, concurrency, and session-time reporting. - [Token Usage
1 project uses a version of this
FlorianBruniauxPipes a download into a shellllms.txtFlorianBruniaux/claude-code-ultimate-guide/llms-full.txt
lets developers interact with Claude directly from the terminal to write, edit, debug, and review code. Unlike IDE plugins, it has full filesystem access, can run shell commands, and works
Steady4 mentions in 2 weeks
No other project uses it yet
FlorianBruniauxllms.txtFlorianBruniaux/claude-code-ultimate-guide/llms.txt
privacy and retention, enterprise governance (guardrail tiers, MCP approval workflow, audit trails) - CI/CD and code review: GitHub Actions patterns, the Code Review feature (Teams/Enterprise), multi-provider review pipelines - Verification methods
Steady4 mentions in 2 weeks
No other project uses it yet
Q00llms.txtQ00/ouroboros/llms.txt
that rewrites its own architecture -- a different project with a different design, no shared code. ## Core Concepts - Seed Spec: An immutable YAML specification auto-generated from a Socratic interview. Contains
No other project uses it yet
HelixDBPipes a download into a shellllms.txtHelixDB/helix-db/docs/llms-full.txt
same `POST /v2/query` interface as Helix Cloud, which makes it the default development target: code written against it works unchanged in Cloud. ## Embedded Embedded clients open the engine inside your
No other project uses it yet
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.
