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.
kairav7220Reads credentialsllms.txtkairav7220/travel-booking-agent/llms.txt
versatile as the LLM - PostgreSQL + PostgresSaver for conversation checkpointing - Streamlit for the frontend - AviationStack API for flight data - Tavily API for hotel/hotel search ## Environment Variables GROQ_API_KEY, TAVILY
kivanov82llms.txtkivanov82/ShipWith.AI/site/llms.txt
regulated fintech. - A regulatory feature shipped to production across one backend and two frontends in 1 day. - 100% of Critical, High and Medium audit findings adversarially re-verified before they
koinaraReads credentialsllms.txtkoinara/koinara-site/dist/llms-full.txt
# Koinara full public archive This file concatenates all public-safe reviewed Koinara records for
koinarallms.txtkoinara/koinara-site/dist/llms.txt
form-submit-lost-on-unmount, aigora-path:records/traps/frontend/dropdown-form-submit-lost-on-unmount.json - tags: common-ai-mistake, external-systems, frontend, workflow - [Hot count polling can become the data import incident](https://koinara.org/records/hot-count-polling-can-become-the-incident/) - raw Markdown
lj22503Reads credentialsllms.txtlj22503/mangoview/llms.txt
bias 6. **Decide** with audit trail ## Tech Stack | Layer | Tech | |---|---| | Backend | FastAPI + Python 3.11+ | | Frontend | Next.js 14 + Tailwind + Recharts/ECharts | | Data | AKShare / 东方财富 / 天天基金 / 新浪 / tushare | | Knowledge | investment-framework-skill (submodule
lroollellms.txtlroolle/skills/llms.txt
fonts, icons, and references by function - [kiln](https://raw.githubusercontent.com/lroolle/skills/main/skills/kiln/SKILL.md): design or restyle a frontend surface; audit an interface; rescue generic AI-looking output - [taste](https://raw.githubusercontent.com/lroolle/skills/main/skills/taste/SKILL.md): judge whether
MachengShenllms.txtMachengShen/MachengShen.github.io/llms-full.txt
wheels for multi-agent AI coding — drift checks, adversarial review, a reuse compiler, a frontend smoke gate. Built for the failure mode where every agent reports "done" and nobody actually
MachengShenllms.txtMachengShen/MachengShen.github.io/llms.txt
wheels for multi-agent AI coding — drift checks, adversarial review, a reuse compiler, a frontend smoke gate. Built for the failure mode where every agent reports "done" and nobody actually
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.
