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
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 can connect
NangoHQllms.txtNangoHQ/nango/docs/llms.txt
nango.dev/docs/guides/functions/data-validation.md): How to validate data in your functions and in your app - [Functions: Testing integrations](https://nango.dev/docs/guides/functions/testing.md): How to test your Nango integrations using dry runs, mocks
Googlellms.txtgoogle/osv-scanner/llms.txt
extractor in `osv-scalibr/plugin/list/list.go` so it can be enabled by name. * Add thorough tests within `osv-scalibr`. * Get the changes merged into `osv-scalibr`. 2. **Enable in `osv-scanner
No other project uses it yet
gui-csllms.txtgui-cs/Terminal.Gui/llms.txt
recipes ### Contributing to Library (Contributor) - **Rules**: `AGENTS.md` and `.claude/rules/` - Coding conventions - **Workflows**: `.claude/workflows/` - Build, test, PR processes --- ## Core Concepts ### Correct Minimal App (v2) ```csharp using Terminal.Gui.App; using Terminal.Gui.Views; IApplication
No other project uses it yet
AWSllms.txtaws/amazon-sagemaker-examples/llms.txt
process and local-container modes, inference pipelines, multi-model and multi-container endpoints, A/B testing, shadow variants, deployment guardrails, autoscaling with inference components, `optimize()`, batch transform, Bedrock deployment, Marketplace model
No other project uses it yet
InsertKoinIOllms.txtInsertKoinIO/koin/llms.txt
whole graph at build time, DSL and Annotations alike. It replaces `checkModules()` / `verify()` tests. - **Koin KSP is deprecated** — never add `koin-ksp-compiler`, never import `org.koin.ksp.generated.*`, never pin `koin-annotations
InsertKoinIOllms.txtInsertKoinIO/koin/projects/llms.txt
Coroutines (lazy modules) implementation("io.insert-koin:koin-ktor") // Ktor server implementation("io.insert-koin:koin-test") // Testing implementation("io.insert-koin:koin-test-junit5") // JUnit 5 testing // Never Koin KSP: no com.google.devtools.ksp
replicatellms.txtreplicate/cog/docs/llms.txt
hosts a webhook sink so async predictions can be observed in the browser. Async/webhook testing against a containerized model requires the webhook URL to be reachable from inside the container
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
chaitanyagirillms.txtchaitanyagiri/munder-difflin/docs/llms.txt
# Munder Difflin > Munder Difflin is free and open source: a desktop app that runs
idurarllms.txtidurar/idurar-erp-crm/llms.txt
React, Next.js, TypeScript, Redux, Redux Thunk, React Query, Tailwind CSS, Ant Design, Storybook, React Testing Library, Jest, GraphQL/Apollo, Node.js, Express.js, REST APIs, MongoDB, PostgreSQL, Microsoft SQL, Docker - Tools & Workflow: Figma
No other project uses it yet
kellyjonbrazilllms.txtkellyjonbrazil/jc/llms.txt
raw.githubusercontent.com/kellyjonbrazil/jc/master/CONTRIBUTING.md): how to add or change a parser, including the schema guidelines and tests. - [jc.streaming reference](https://raw.githubusercontent.com/kellyjonbrazil/jc/master/docs/streaming.md) and [jc.utils reference](https://raw.githubusercontent.com/kellyjonbrazil/jc/master/docs/utils.md): helper functions for writing
Steady10 mentions in 2 weeks
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
lastmile-aiReads credentialsllms.txtlastmile-ai/mcp-agent/LLMS.txt
flight_mod_agent or lost_baggage_agent swarm = AnthropicSwarm(agent=triage_agent, context_variables={...}) test_input = "My bag was not delivered!" result = await swarm.generate_str(test_input) print("Result:", result
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
SciPhi-AIReads credentialsllms.txtSciPhi-AI/R2R/llms.txt
core/examples/hello_r2r.py`: ```python from r2r import R2RClient client = R2RClient("http://localhost:7272") # Create a test document with open("test.txt", "w") as file: file.write("John is a person that works at Google
No other project uses it yet
Rich-Harrisllms.txtRich-Harris/degit/llms.txt
vulnerabilities privately. - [AGENTS.md](https://raw.githubusercontent.com/Rich-Harris/degit/master/AGENTS.md): Entry point for coding agents; summarizes setup, scripts, tests, and key files. ## Agent skill - [skills/degit/SKILL.md](https://raw.githubusercontent.com/Rich-Harris/degit/master/skills/degit/SKILL.md): Reusable agent skill for scaffolding projects
anbeimellms.txtanbeime/skill/public/llms-full.txt
github.com/anbeime/skill/blob/main/SKILL_SOURCES.json ## 官方技能来源（顶级团队） 本技能商店收录了来自以下顶级团队的官方技能： - **Anthropic** (17个) - docx, pptx, xlsx, pdf, mcp-builder, webapp-testing 等 - **Vercel** (7个) - react-best-practices, next-best-practices, composition-patterns 等 - **Cloudflare** (7个) - agents
Steady13 mentions in 2 weeks
No other project uses it yet
HenryNdubuakullms.txtHenryNdubuaku/maths-cs-ai-compendium/llms.txt
outlier detection - [Sampling](chapter 04: statistics/03. sampling.md): Sampling methods, central limit theorem, bootstrap - [Hypothesis Testing](chapter 04: statistics/04. hypothesis testing.md): t-tests, p-values, confidence intervals, ANOVA - [Inference](chapter
No other project uses it yet
tw93llms.txttw93/claude-health/llms.txt
across Claude 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
Steady4 mentions in 2 weeks
1 project uses a version of this
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.
