llms.txt examples

scrapflyllms.txt

scrapfly-scrapers

scrapfly/scrapfly-scrapers/llms.txt

# Scrapfly Scrapers > Example web scrapers for 81 popular websites (Amazon, eBay, Zillow, Booking.com and

VladSezllms.txt

easy-invoice-pdf

VladSez/easy-invoice-pdf/public/llms.txt

Free, open-source browser-based invoice generator for creating and downloading professional PDF invoices.

No other project uses it yet

AnswerDotAIllms.txt

fastcore / nbs

AnswerDotAI/fastcore/nbs/llms.txt

show a function's real parameters in place of `**kwargs`, for IDEs and generated documentation. - Use fastcore's versions of `ThreadPoolExecutor` and `ProcessPoolExecutor` for simpler concurrent processing. - Prefer fastcore

No other project uses it yet

datacontractllms.txt

datacontract-cli

datacontract/datacontract-cli/llms.txt

entry point for the project's GitHub repository and README. The complete documentation is a separate site with its own, much larger llms.txt. - Contract format: the [Open Data Contract Standard

No other project uses it yet

gdsfactoryllms.txt

gdsfactory

gdsfactory/gdsfactory/docs/llms.txt

printable objects. It outputs CAD files (GDS, OASIS, STL, GERBER) from Python code. ## Documentation - [Getting Started](https://gdsfactory.github.io/gdsfactory/getting_started.html): Installation, setup, and prerequisites - [Layout](https://gdsfactory.github.io/gdsfactory/layout.html): Core layout concepts

hareharePipes a download into a shellllms.txt

mq

harehare/mq/docs/llms-full.txt

Workflows**: Efficiently manipulate and process Markdown used in LLM prompts and outputs - **Documentation Management**: Extract, transform, and organize content across multiple documentation files - **Content Analysis**: Quickly extract specific sections

hareharellms.txt

mq

harehare/mq/docs/llms.txt

easily slice, filter, map, and transform structured Markdown data. Especially useful for LLM workflows, documentation management, content analysis, and batch processing. ## Docs - [Introduction](https://mqlang.org/book/): Overview, features

borgheiReads credentialsllms.txt

Claude-Skills / site

borghei/Claude-Skills/site/llms.txt

tools - C-Level Advisory: 31 skills, 88 tools - Data Analytics: 6 skills, 20 tools - Documents: 4 skills, 4 tools - Engineering: 98 skills, 281 tools - Finance: 3 skills, 10 tools

No other project uses it yet

christo-auerllms.txt

eilmeldung

christo-auer/eilmeldung/docs/llms.txt

configurable). ## Lesser-Known Features Many useful features are not obvious from the basic documentation. Here is a curated list: - **Link hints** (`; ;`): Press `; ;` in the article content panel and letter hints

agentic-communityPipes a download into a shellllms.txt

mcp-gateway-registry

agentic-community/mcp-gateway-registry/docs/llms.txt

reusable modules) | | `tests/` | **Test Suite** - pytest unit, integration, E2E tests | `conftest.py`, `unit/`, `integration/` | | `docs/` | **Documentation** - Architecture, guides, design docs | `llms.txt` (this file), `design/` (architecture) | | `cli/` | **Command-Line Tools** - MCP client

adridallms.txt

tracer

adrida/tracer/llms.txt

python -m pip install -e . The published package may not contain the source changes documented here. ## Core API (4 functions) tracer.fit("traces.jsonl", embeddings=X) → FitResult tracer.load_router(".tracer", embedder

invertasellms.txt

react-native-google-mobile-ads

invertase/react-native-google-mobile-ads/llms.txt

Google Ad Manager), including Expo support. ## Primary guidance - [Integrator instructions](https://raw.githubusercontent.com/invertase/react-native-google-mobile-ads/main/packages/core/AGENTS.md) - [Documentation](https://docs.page/invertase/react-native-google-mobile-ads) - [Documentation llms.txt](https://docs.page/invertase/react-native-google-mobile-ads/llms.txt) - [Generated API reference](https://invertase.github.io/react-native-google-mobile-ads/) - [Source repository

No other project uses it yet

sirkirbyllms.txt

unifi-network-mcp

sirkirby/unifi-network-mcp/docs/llms.txt

only within the tool family that returned them unless an explicit resolver documents a verified bridge. ## Getting Started - [Quick start](https://github.com/sirkirby/unifi-mcp/blob/main/QUICKSTART.md): Install and configure a local MCP server

NVIDIAllms.txt

cudnn-frontend

NVIDIA/cudnn-frontend/llms.txt

SDPA/Flash Attention, MoE grouped-GEMM fusions, fused normalizations) for Hopper and Blackwell GPUs. Published documentation: https://docs.nvidia.com/deeplearning/cudnn/latest/developer/overview.html ## Start here - [README](https://github.com/NVIDIA/cudnn-frontend/blob/main/README.md): overview, installation, feature highlights - [AGENTS.md

Electricitysheepllms.txt

dsh-handbook

Electricitysheep/dsh-handbook/llms-full.txt

guide, plugin development, plugin 开发, sandbox security, cache hit rate, cost optimization, agent benchmark. ## Documentation - [Chinese README (canonical)](README.md) - [English README](README.en.md) - [Online docs site (searchable)](https://electricitysheep.github.io/dsh-handbook/) - [Cheatsheet

Electricitysheepllms.txt

dsh-handbook

Electricitysheep/dsh-handbook/llms.txt

guide, plugin development, plugin 开发, sandbox security, cache hit rate, cost optimization, agent benchmark. ## Documentation - [Chinese README (canonical)](README.md) - [English README](README.en.md) - [Online docs site (searchable)](https://electricitysheep.github.io/dsh-handbook/) - [Cheatsheet

Vrun-designllms.txt

openflowkit

Vrun-design/openflowkit/public/llms.txt

only the canvas changes, canonically numbered. "The box I selected" is `selection` in `get_document`. ## Draw this repo's architecture `discover_architecture` with `{ path }` proposes a C4 workspace (`dsl`) from

umputunllms.txt

revdiff / site

umputun/revdiff/site/llms.txt

revdiff > TUI for reviewing diffs, files, and documents with inline annotations revdiff is a terminal-based UI for code review and document annotation. It displays diffs from Git, Mercurial

JuliusBrusseellms.txt

caveman-code

JuliusBrussee/caveman-code/llms.txt

backed memory. This file is the LLM-friendly entry point to Caveman Code's documentation. Each linked page is plain markdown. ## Install ``` npm install -g @juliusbrussee/caveman-code ``` Requires Node.js 20+. Binaries

GarethManningllms.txt

claude-education-skills

GarethManning/claude-education-skills/llms.txt

planned three-layer education AI system (skill library → context engine → orchestrator). ## Key Documentation - [README.md](https://github.com/GarethManning/education-agent-skills/blob/main/README.md): Full overview, architecture, usage, and domain table - [ARCHITECTURE.md](https://github.com/GarethManning/education-agent-skills/blob/main/docs/ARCHITECTURE.md): Three-layer