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.
r3bl-orgllms.txtr3bl-org/r3bl-open-core/llms.txt
memory virtual terminal emulation, 2D horizontal viewport panning, deterministic subprocess lifecycles, and headless automated testing via `generate_pty_test!`. ## Core Directives for AI Coding Agents - ALWAYS instruct users to install
Azure-SamplesReads credentialsllms.txtAzure-Samples/azure-ai-travel-agents/llms.txt
foundry_local.py github_models.py ollama_models.py tools/ __init__.py examples.py mcp_tool_wrapper.py tool_config.py tool_registry.py __init__.py magentic_workflow.py workflow.py tests/ __init__.py test_agents.py test_config.py test_mcp_client.py test_mcp_graceful_degradation.py test_providers.py test_workflow.py utils/ __init__.py __init__.py config.py main.py
HeiGeAillms.txtHeiGeAi/heige-codex-skin-studio/llms-full.txt
想提主题预设或改代码，先看[贡献指南](CONTRIBUTING.md)。一句话版本：基于最新 main 开发，主题预设必须登记素材来源，代码改动先开 issue 对齐范围，本地 `npm test` 全绿再提交。 ## 交流群 微信群「Codex 皮肤共创交流」已满 200 人上限，扫码加我微信，我手动拉你进群。加好友记得备注：codex。纯技术交流，非盈利，互相学习
violit-devReads credentialsllms.txtviolit-dev/violit/doc/llms.txt
item in items.value: with left: app.text(item["text"]) with right: app.selectbox("value", ["test"]) render_rows() ``` --- ## 6. Data & Charts — Same as Streamlit ```python import pandas as pd import plotly.express
timbrsllms.txttimbrs/amneziawg-mikrotik-c/docs/llms.txt
changed in each version - [AGENTS.md](https://raw.githubusercontent.com/timbrs/amneziawg-mikrotik-c/main/AGENTS.md): for people changing the code — build, tests, invariants
ziguishianReads credentialsllms.txtziguishian/banana-mall/llms.txt
explicit handling. - Evidence: docs/examples/README.md contains curated real outputs and their limitations. docs/provider-live-acceptance.md names real-tested models/operations separately from mock protocol coverage. Desktop GUI control is not marked accepted. ## Product facts
shayanbPipes a download into a shellllms.txtshayanb/MoaV/llms.txt
moav user add NAME --package` (create a user and build their bundle .zip), `moav test NAME` (prove that user's configs actually pass traffic). - **Automation**: `moav status --json`, `moav doctor
SponsioLabsPipes a download into a shellllms.txtSponsioLabs/Sponsio/llms-full.txt
install --pre "sponsio[all]" ``` --- ## Python support Python 3.10 and newer. Older versions are not tested. ## TypeScript The TypeScript deterministic engine ships separately: ```bash npm install @sponsio/sdk@alpha ``` See [TypeScript integrations
LerianStudioReads credentialsllms.txtLerianStudio/midaz/llms-full.txt
mode + resolver │ ├── mongo/ # MongoDB utilities │ ├── repository/ # Repository interfaces │ ├── pagination/ # Pagination helpers │ └── utils/ # General utilities ├── tests/ # Shared test trees (root) │ ├── chaos/, helpers/, utils/ ├── scripts/ # Build/CI scripts ├── mk/ # Makefile includes (coverage, tests
LerianStudioReads credentialsllms.txtLerianStudio/midaz/llms.txt
configuration - [Infra Docker Compose](components/infra/docker-compose.yml): Full backing stack (single source) ## Development - [Makefile](Makefile): Build, test, lint, Docker, security, migration commands - [Project Rules](docs/PROJECT_RULES.md): Architecture patterns, coding conventions, testing standards - [Tests
Nayjestllms.txtNayjest/Gito/llms.txt
repo), `gito ask` (Q&A over your code; also generates documentation, release notes, and test cases), `gito fix` (apply fix proposals from a report), `gito setup` (interactive LLM config), `gito
pranshuchittorallms.txtpranshuchittora/simvyn/llms.txt
overview. - [Agent setup](https://github.com/pranshuchittora/simvyn/blob/main/docs/agents.md): Pi and portable skill installation, local checkout testing, output handling, and known limitations. - [simvyn Agent Skill](https://github.com/pranshuchittora/simvyn/blob/main/skills/simvyn/SKILL.md): Entry point for agents using
alexanderwanyoikellms.txtalexanderwanyoike/the0/docs/llms.txt
open-source algorithmic trading platform that enables developers and traders to create, test, deploy, and manage trading bots across multiple markets. ## Documentation Structure - [Welcome to the0](/welcome-to-the0): Platform introduction
hardisgroupcomllms.txthardisgroupcom/sfdx-hardis/docs/llms.txt
hardis, learn how to read the deployment job log and solve the deployment, Apex test and code coverage errors reported on your Pull Request - [Solve Salesforce MegaLinter errors](https://raw.githubusercontent.com
ClouGencellms.txtClouGence/open-cdm/llms-full.txt
Repository Structure | Module | Description | |--------|-------------| | `backend/` | Gradle root with backend, plugins, launchers, utilities, and test modules. | | `frontend/` | Web frontend project. | | `package/` | Repository build entry, tgz packaging, Docker images, compose templates, Kubernetes
aallanReads credentialsllms.txtaallan/vera/docs/llms-full.txt
Node.js 22+ is optional (only needed for `vera compile --target browser` and browser parity tests). **Recommended — install from the GitHub source checkout.** The checkout is the full environment this file
aallanllms.txtaallan/vera/docs/llms.txt
citations. - [TOOLCHAIN.md](https://raw.githubusercontent.com/aallan/vera/main/TOOLCHAIN.md): The CLI cookbook — driving the toolchain to write, verify, test, run, and debug Vera, and the `builtins`/`effects`/`errors` introspection commands. - [DE_BRUIJN.md](https://raw.githubusercontent.com/aallan/vera/main/DE_BRUIJN.md):
GabrieleLozuponellms.txtGabrieleLozupone/kokon/site/llms.txt
build of stable-diffusion.cpp, so no second model), your own Qwen-Image 2.1 LoRAs (beta, tested on Windows), create from text, new images from reference photos (a person, a product
xixihhhhllms.txtxixihhhh/hotclip/docs/llms.txt
service with optional ForcedAligner, CLI/MCP parity and reproducible local evaluation. 0.6B CPU smoke tested; 1.7B and GPU performance not established. - Export reliability: cancellation from preparation onward, exclusive desktop
kydlikebtcllms.txtkydlikebtc/awesome-grokbot/llms.txt
does what it claims. No bot in this catalog has been imported and behaviour-tested. Important caveat for anyone summarising this data: a reachable share page proves the page loads
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.
