How real projects summarise themselves for language models.
garrytanllms.txtgarrytan/gstack/gstack/llms.txt
context saved earlier by /context-save. - [/context-save](context-save/SKILL.md): Save working context. - [/cso](cso/SKILL.md): Security audit: supported static findings; qualified profiles add reproduction and repair candidates. - [/design-consultation](design-consultation/SKILL.md
koala73llms.txtkoala73/worldmonitor/public/llms.txt
event score weights conflict at 30%, unrest at 25%, information signals at 25%, and security signals at 20%, then applies bounded boosts and authoritative floors. Each country has an instability
alirezarezvanillms.txtalirezarezvani/claude-skills/docs/llms-full.txt
handoff, andreessen ├── markdown-html/ # Markdown-to-interactive-HTML converter suite ├── standards/ # Communication, quality, git, security standards ├── templates/ # Reusable templates ├── docs/ # This MkDocs Material documentation site └── scripts/ # Build, sync, and validation
alirezarezvanillms.txtalirezarezvani/claude-skills/docs/llms.txt
/claude-skills/commands/): The 102 slash commands. ## Domains - [Engineering — Core](https://alirezarezvani.github.io/claude-skills/skills/engineering-team/): Fullstack, AI/ML, DevOps, security, data, QA. - [Engineering — POWERFUL](https://alirezarezvani.github.io/claude-skills/skills/engineering/): Agent design, RAG, MCP, CI/CD, observability, SLOs, skill
enescingozllms.txtenescingoz/awesome-n8n-templates/llms.txt
store integration. - [Slack](https://github.com/enescingoz/awesome-n8n-templates/tree/main/Slack): 9 templates for AI bots, customer support ticketing, security operations, sentiment analysis, and information monitoring. - [OpenAI and LLMs](https://github.com/enescingoz/awesome-n8n-templates/tree/main/OpenAI_and_LLMs): 17+ templates
NirDiamantllms.txtNirDiamant/agents-towards-production/llms.txt
independent tutorial tracks, each covering one layer of the production stack: orchestration, memory, retrieval, security and guardrails, observability and tracing, evaluation, deployment, GPU serving, fine-tuning and user interfaces. Each
Evil0ctalllms.txtEvil0ctal/Douyin_TikTok_Download_API/llms.txt
configuration layers and all 54 runtime settings, with defaults and when to change them. - [Security](https://github.com/Evil0ctal/Douyin_TikTok_Download_API/blob/main/documents/en/15-security.md): What the instance protects, what you are responsible for, and what
corsairdevllms.txtcorsairdev/corsair/docs/llms.txt
with OAuth 2.0 flows. - [OAuth process](https://docs.corsair.dev/concepts/oauth-process.md): A production OAuth implementation with security best practices. ## Hub Optional hosted relay for the parts of Corsair that need a public
chaitanyagirillms.txtchaitanyagiri/munder-difflin/docs/llms-full.txt
github.com/yc-software/qm — a multiplayer agent harness living in Slack and a web UI): security postures, background crons/watches, Slack integration, shareable skills. The difference is where it lives and what
chaitanyagirillms.txtchaitanyagiri/munder-difflin/docs/llms.txt
code never > leaves your machine. It covers the same jobs as YC's qm (security postures, background > crons/watches, Slack, shared skills) as a simpler local-first desktop app, and adds
NirDiamantllms.txtNirDiamant/Prompt_Engineering/llms.txt
prompt structure and role prompting through chain-of-thought, self-consistency, task decomposition, prompt security and systematic evaluation. Each notebook explains one technique, implements it, and shows the difference
anbeimellms.txtanbeime/skill/public/llms-full.txt
Cloudflare** (7个) - agents-sdk, durable-objects, wrangler 等 - **Trail of Bits** (26个) - building-secure-contracts, static-analysis, property-based-testing 等 - **Hugging Face** (8个) - model-trainer, datasets, evaluation, jobs
Q00llms.txtQ00/ouroboros/llms.txt
progress, token tracker, agents panel mcp/ # Model Context Protocol integration server/ # MCP server with security client/ # MCP client manager, protocol, adapter tools/ # Tool registry, dashboard tools resources/ # Resource handlers observability
FlorianBruniauxllms.txtFlorianBruniaux/claude-code-ultimate-guide/llms.txt
slash commands: current SKILL.md frontmatter, description-based discovery, progressive disclosure, personal/project/vendor/marketplace ownership scopes, security versus maintenance boundaries, with/without-skill eval evidence, /skill-doctor, lifecycle and retirement, and the judgment-versus-harness decision
KnockOutEZllms.txtKnockOutEZ/wigolo/llms.txt
extractor plugins - [Troubleshooting](docs/troubleshooting.md): symptom-to-fix table, blocked_by_challenge, logs, FAQ - [Privacy & security](docs/privacy-security.md): local-only data, credential handling, serve hardening, SSRF guards, disclosure policy - [Licensing](LICENSING.md): AGPL
yvgudellms.txtyvgude/lean-ctx/llms.txt
numbers (`lean-ctx benchmark report .`). - [Changelog](https://github.com/yvgude/lean-ctx/blob/main/CHANGELOG.md): release history (Keep a Changelog). - [Security](https://github.com/yvgude/lean-ctx/blob/main/SECURITY.md): hardening and disclosure policy. - [Pricing & Cloud](https://leanctx.com/pricing/): local
Microsoftllms.txtmicrosoft/skills/docs/llms-full.txt
models](https://learn.microsoft.com/en-us/azure/ai-foundry/control-plane/quickstart-create-guardrail-policy?view=foundry) - [Optimize cost and performance](https://learn.microsoft.com/en-us/azure/ai-foundry/control-plane/how-to-optimize-cost-performance?view=foundry) - [Manage compliance and security](https://learn.microsoft.com/en-us/azure/ai-foundry/control-plane/how-to-manage-compliance-security?view=foundry) - [Configure an AI gateway](https://learn.microsoft.com/en-us/azure/ai-foundry/configuration/enable-ai-api-management-gateway-portal?view=foundry) ## Observability, evaluation, & tracing - [Observability overview
Microsoftllms.txtmicrosoft/skills/docs/llms.txt
models](https://learn.microsoft.com/en-us/azure/ai-foundry/control-plane/quickstart-create-guardrail-policy?view=foundry) - [Optimize cost and performance](https://learn.microsoft.com/en-us/azure/ai-foundry/control-plane/how-to-optimize-cost-performance?view=foundry) - [Manage compliance and security](https://learn.microsoft.com/en-us/azure/ai-foundry/control-plane/how-to-manage-compliance-security?view=foundry) - [Configure an AI gateway](https://learn.microsoft.com/en-us/azure/ai-foundry/configuration/enable-ai-api-management-gateway-portal?view=foundry) ## Observability, evaluation, & tracing - [Observability overview
tractorjuicellms.txttractorjuice/arc-kit/docs/llms.txt
Wardley, ADRs), research, vendor procurement (G-Cloud/DOS), UK Government compliance (GDS, TCoP, Secure by Design, NCSC CAF, Orange/Green Book), EU regulations (GDPR, NIS2, AI Act, DORA, CRA, DSA, Data
mrgooniellms.txtmrgoonie/claudekit-skills/.claude/skills/claude-code/llms.txt
Common servers (filesystem, GitHub, PostgreSQL, Brave Search, Puppeteer) - Remote MCP servers - Environment variables and security - See: references/mcp-integration.md ### Hooks and Plugins - Hook types (pre-tool, post-tool, user-prompt-submit) - Hook
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.
