How real projects summarise themselves for language models.
attenlabsllms.txtattenlabs/saa-sdk/llms.txt
PCM16) - [Python](./examples/python): microphone + camera streaming demo - [Web](./examples/web): vanilla-JS browser client ## Documentation - Reference docs: https://attentionlabs.ai/docs - Repository: https://github.com/attenlabs/saa-sdk
OriNachumllms.txtOriNachum/claude-code-guide/llms.txt
Claude Code — setup, best practices, automation, and effective workflows. This file indexes the documentation for LLMs and agents. Every page is also available as raw markdown: append
pleaseaillms.txtpleaseai/shunt/wiki/llms-full.txt
shunt full documentation ## Overview Configuration exists to keep shunt generic: new upstreams are provider table entries, not code changes, and routing is a data problem expressed as exact model routes
pleaseaillms.txtpleaseai/shunt/wiki/llms.txt
shunt > Claude Code LLM gateway documentation for routing selected model IDs to Anthropic-compatible or OpenAI Responses providers while preserving the Claude Code harness. ## Onboarding - [Contributor Guide](./src/content/docs/onboarding/contributor-guide.md) — /onboarding/contributor-guide - [Executive
OraclesTechllms.txtOraclesTech/guardian-sdk/llms.txt
alignment to: - NIST Cybersecurity Framework 2.0 - NIST AI Risk Management Framework 1.0 These listings document the formal mapping of Guardian SDK's protection layers against NIST-recognized security and risk
thebanrillms.txtthebanri/limoni/llms.txt
github.com/thebanri/limoni/blob/main/docs/getting-started.md): first app, both application models - [API reference](https://pkg.go.dev/github.com/thebanri/limoni): package documentation - [Browser playground](https://thebanri.github.io/limoni/): the engine compiled to WebAssembly ## Guides - [Core API](https://github.com/thebanri/limoni/blob/main/docs/core-api.md):
agents-uillms.txtagents-ui/agents-kit/llms-full.txt
streaming, tool execution, permissions, and persistence. This library does not supply an agent backend. ## Documentation - [Overview](https://agents-ui.github.io/agents-kit/docs/introduction) - [Installation and required styles](https://agents-ui.github.io/agents-kit/docs/installation) - [Component catalog](https://agents-ui.github.io
agents-uillms.txtagents-ui/agents-kit/llms.txt
streaming, tool execution, permissions, and persistence. This library does not supply an agent backend. ## Documentation - [Overview](https://agents-ui.github.io/agents-kit/docs/introduction) - [Installation and required styles](https://agents-ui.github.io/agents-kit/docs/installation) - [Component catalog](https://agents-ui.github.io
future-agillms.txtfuture-agi/agent-learning-kit/docs/llms.txt
kind=agent-learning.suite.v1 ## Reference - [Cookbook Index](docs/cookbooks/index.md): twin=none kind=none - [Agent Learning Kit Documentation](docs/index.md): twin=none kind=none - [Artifact Reference](docs/reference/artifacts.md): twin=none kind=none - [CLI Reference](docs/reference/cli.md
BingoWonllms.txtBingoWon/apple-rag-mcp/public/llms.txt
born with Apple DNA. RAG infuses your agents with WWDC26, iOS 27, and official documentation insights. ## Why Developers Love Apple RAG MCP **Lightning Fast**: Get instant responses with our optimized
hermes-labs-aillms.txthermes-labs-ai/lintlang/llms-full.txt
FILE` as the discovery root; write `lintlang scan FILE --discover` instead. `-` scans exactly one document from standard input and requires `--stdin-filename `, which selects the parser (including `.py` AST extraction
hermes-labs-aillms.txthermes-labs-ai/lintlang/llms.txt
LINTLANG` linter and resolves the descriptor from this repository; the linked record documents an opt-in plugin entry, not a bundled MegaLinter default: https://github.com/oxsecurity/megalinter/blob/9d4e685d4f31cecdd53743a08704cd23d9c01811/docs/plugins.md - Independent Gentoo packaging
luongnv89llms.txtluongnv89/context-stats/docs/llms.txt
/context-stats/): Real-time context monitoring, three levels of analytics, terminal dashboard, and context zones ## Documentation - [Installation](https://luongnv89.github.io/context-stats/installation.html): Quick install via pip, one command, zero dependencies - [Configuration](https://luongnv89.github.io
Scottcjnllms.txtScottcjn/rustchain-mcp/llms.txt
agents through one MCP interface. ## Canonical URLs - Repository: https://github.com/Scottcjn/rustchain-mcp - Homepage: https://rustchain.org - Documentation: https://rustchain.org/docs - PyPI package: https://pypi.org/project/rustchain-mcp/ - BoTTube: https://bottube.ai - RustChain SDK: https://github.com
yschimkellms.txtyschimke/compose-ai-tools/site/llms.txt
/yschimke/skills/blob/main/skills/compose-preview/SKILL.md): Agent-oriented instructions for installing, rendering, inspecting, and iterating on Compose previews. ## Core documentation - [Data product reference](https://yschimke.github.io/compose-ai-tools/reference/): Index of structured outputs including accessibility, layout, theme, resources
Kilbexllms.txtKilbex/Vigla/llms-full.txt
below; cells are re-verified before each release. *Sources verified 2026-07-21.* “Not documented” means the linked product documentation does not describe that capability; it is not a claim
Kilbexllms.txtKilbex/Vigla/llms.txt
workflow uploads it. Keep the printed checksum with the artifact. [SECURITY.md](https://github.com/Kilbex/Vigla/blob/main/SECURITY.md#verifying-a-local-build) documents the independent `shasum`, `hdiutil`, and `codesign` checks. Prerequisites are the development tools listed in [Requirements
EliasOulkadillms.txtEliasOulkadi/shokunin/llms.txt
Ecosystem > 62 skills for AI coding agents. Infrastructure, backend, frontend, mobile, content, quality, productivity, documents, and AI agents. Each skill provides structured workflows, checklists, and domain-specific knowledge for production
EliasOulkadillms.txtEliasOulkadi/shokunin/.pack/llms.txt
Ecosystem > 62 skills for AI coding agents. Infrastructure, backend, frontend, mobile, content, quality, productivity, documents, and AI agents. Each skill provides structured workflows, checklists, and domain-specific knowledge for production
kagan-shllms.txtkagan-sh/kagan-legacy/docs/llms.txt
Kagan Documentation > Documentation for Kagan: a Kanban TUI for AI coding agents with a structural human review gate. No agent-authored task reaches your main branch without an explicit approval
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.
