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.
sammchardyllms.txtsammchardy/python-binance/llms-full.txt
Best price/qty on the order book for a symbol or symbols. - `client.futures_coin_ping()` — Test connectivity to the Rest API - `client.futures_coin_place_batch_order()` — Send in new orders
No other project uses it yet
smol-machinesllms.txtsmol-machines/smolvm/docs/llms.txt
smolvm documentation > Tested procedures, one task each, with their scripts, and the reference page for each feature. ## Skill packets - [branch-and-checkpoint](branch-and-checkpoint/SKILL.md): scheduled checkpoints with history
Steady10 mentions in 2 weeks
No other project uses it yet
FlorianBruniauxPipes a download into a shellllms.txtFlorianBruniaux/claude-code-ultimate-guide/llms-full.txt
future weights. No native Claude Code or self-hosted Large 4 integration was tested. ## Full Cheatsheet --- title: "Claude Code Cheatsheet" description: "One-page printable daily essentials for maximum Claude Code
FlorianBruniauxllms.txtFlorianBruniaux/claude-code-ultimate-guide/llms.txt
learning: installable learning-path skill with prerequisite gates, local evidence, scheduled reviews, and a tested seven-module companion project - Context window management: 1M-token context on Sonnet 5, Opus
Q00Reads credentialsllms.txtQ00/ouroboros/llms-full.txt
Multi-model consensus evaluation/trigger.py Consensus trigger matrix Stage 1: Mechanical ($0) Lint, build, test, static analysis, coverage (threshold: 70%) Any check fails -> pipeline stops Stage 2: Semantic ($$) AC compliance, goal
Steady29 mentions in 2 weeks
No other project uses it yet
Q00llms.txtQ00/ouroboros/llms.txt
specific configuration (claude-code, codex) api/ # API reference (core, MCP) contributing/ # Contributor guides (architecture, testing, patterns) tests/ # Test suite examples/ # Example projects pyproject.toml # Package metadata: ouroboros-ai, requires Python
Steady29 mentions in 2 weeks
No other project uses it yet
HelixDBPipes a download into a shellllms.txtHelixDB/helix-db/docs/llms-full.txt
with managed operations | HTTPS | Managed object storage | Highly available | | Local server | Development, production-shaped testing, and self-hosting | HTTP | Memory or S3-compatible storage | Single node | | Embedded | In-process applications
HelixDBPipes a download into a shellllms.txtHelixDB/helix-db/docs/llms.txt
/database/helix-cloud/start-here/using-the-cloud): Sign in, create a workspace and choose its plan, provision a database, and test the connection — Page type: Tutorial - [Connect to Helix Cloud](https://docs.helix-db.com/database/helix-cloud/start-here/working-with-enterprise): Connect
nirholasllms.txtnirholas/claude-code/llms-full.txt
copy of the leak you already hold, `grep -r x402 src/` is the test. ## Do not run copies of the leak The leaked tree imports internal packages that
1 project uses a version of this
tokio-rsllms.txttokio-rs/topcoat/llms.txt
mail).await?`. Plain text derived from HTML; attachments supported. FileTransport for .eml, MemoryTransport for tests, SmtpTransport for delivery. ## Optional HTTP integrations - `fs`: import `RouterBuilderDirectoryExt`; `.public_dir("./public")` or `.serve
Steady2 mentions in 2 weeks
No other project uses it yet
AgentOps-AIReads credentialsllms.txtAgentOps-AI/agentops/llms.txt
AgentOps > AgentOps is the developer favorite platform for testing, debugging, and deploying AI agents and LLM apps. Monitor, analyze, and optimize your agent workflows with comprehensive observability and analytics. ## Repository
Steady6 mentions in 2 weeks
No other project uses it yet
OpenBMBPipes a download into a shellllms.txtOpenBMB/UltraRAG/docs/llms.txt
path: str, ) ``` **Function** - Compares significance of two TREC result files using **Two-sided Permutation Test** to calculate p-value. - Default resampling count `n_resamples=10000`. - Outputs mean, difference, p-value
dunglasllms.txtdunglas/mercure/llms.txt
Actions](https://mercure.rocks/docs/deployment/github-actions): Run a Mercure hub as a service container for integration tests. ## AI and LLM use cases - [LLM token streaming with Mercure](https://mercure.rocks/docs/use-cases/llm-token-streaming): Stream OpenAI
No other project uses it yet
AnswerDotAIllms.txtAnswerDotAI/nbdev/nbs/llms.txt
your workflow, all while promoting software engineering best practices. It allows you to write, test, document, and distribute software packages and technical articles — all in one place, your notebook. Here
No other project uses it yet
shakacodeReads credentialsllms.txtshakacode/react_on_rails/llms-full.txt
explicit goal. - **[Spec/Dummy App](https://github.com/shakacode/react_on_rails/tree/main/react_on_rails/spec/dummy)** - In-repo reference for current generator and test behavior. - **[Live demo at www.reactrails.com](https://www.reactrails.com)** - Running React on Rails app you can click
Steady3 mentions in 2 weeks
No other project uses it yet
tinyplexllms.txttinyplex/tinybase/docs/llms-full.txt
exceptionally small (5.3kB-11.7kB), has zero runtime dependencies, and maintains 100% test coverage. - **Website**: https://tinybase.org - **Repository**: https://github.com/tinyplex/tinybase - **Documentation**: https://tinybase.org/api/ - **License**: MIT - **Author**: James
No other project uses it yet
eugeniughelburReads credentialsllms.txteugeniughelbur/obsidian-second-brain/llms.txt
every surface; README Contributors section. https://github.com/eugeniughelbur/obsidian-second-brain/releases/tag/v0.13.0 - v0.12.0 (2026-07-11) "The Stress Test": a 4-lane adversarial audit (32 AI agents: every command file, hostile synthetic vaults, live
Steady9 mentions in 2 weeks
No other project uses it yet
sitespeediollms.txtsitespeedio/sitespeed.io/docs/llms.txt
command line tools (Node.js 22 or later) and are also shipped as Docker containers. Test scripts are ES modules that get a `context` and a `commands` object, and they
No other project uses it yet
nibzardllms.txtnibzard/awesome-agentic-patterns/llms.txt
continuous learning, skill development, and adaptation in AI agents. ### Reliability & Eval Patterns for testing, evaluation, and ensuring reliable behavior in AI systems. ### Security & Safety Patterns for building secure, safe
No other project uses it yet
melgarafaelllms.txtmelgarafael/DeskcommCRM/public/llms.txt
Paid/Booked/Closed); Nuvemshop integration for the e-commerce vertical - Compliance: multi-tenant Postgres RLS (isolation tested in CI), LGPD by design (redact, data_request, anonymization), append-only audit log - Stack: Next.js
Steady4 mentions in 2 weeks
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.
