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.
ranutsllms.txtranuts/document/public/llms.txt
Rewrite, summarize and translate currently operate on Word selections. Generated text is shown for review and only replaces the selection after confirmation. Changed targets invalidate proposals. Stop or turn
No other project uses it yet
pyrevitlabsllms.txtpyrevitlabs/pyRevit/docs/llms-full.txt
# https://docs.pyrevitlabs.io/ llms-full.txt ## pyRevit Development Tools [Skip to content](https://docs.pyrevitlabs.io/#pyrevit-can-help-you) pyRevitRapid Application
No other project uses it yet
MicrosoftPipes a download into a shellllms.txtmicrosoft/WhatTheHack/068-AzureOpenAIApps/Student/Resources/data/mcp-info/llms-full.txt
# Example Clients Source: https://modelcontextprotocol.io/clients A list of applications that support MCP integrations
1 project uses a version of this
OpenAdaptAIllms.txtOpenAdaptAI/OpenAdapt/llms-full.txt
weeks") # the agent does it; a DRAFT is saved # a person reviews, runs the canary, and admits the draft jit.run(note="Recheck knee in ten days") # the program runs
OpenAdaptAIllms.txtOpenAdaptAI/OpenAdapt/llms.txt
named agents answer. Released. 8. **Repairs itself, with a person approving.** Governed repair (propose, review, campaign, canary, rollback), agent-demonstrated fixes for a halted run, and fleet drift patches shared
kenn-iollms.txtkenn-io/roborev/docs/llms.txt
roborev > roborev is local, continuous code review for the agentic loop: an > open-source review daemon for teams that ship with coding agents. A git > hook reviews every commit
Surging5 mentions in 2 weeks
2 projects use a version of this
fynnflueggePipes a download into a shellllms.txtfynnfluegge/agtx/llms-full.txt
coding agents in parallel. agtx manages coding agent sessions through a spec-driven workflow with phases: backlog, planning, implementation (running), review, and done. Each task gets its own git worktree
No other project uses it yet
fynnflueggePipes a download into a shellllms.txtfynnfluegge/agtx/llms.txt
orchestrates multiple AI coding agents in parallel. agtx manages coding agent sessions through a spec-driven workflow: backlog, planning, implementation, review, done. Each task gets its own git worktree
No other project uses it yet
patrickchughllms.txtpatrickchugh/terravision/docs/llms-full.txt
staging and prod from one codebase with `--varfile`; why it matters (security review of another team's code against its design or an approved pattern, onboarding without account access, seeing
Steady3 mentions in 2 weeks
No other project uses it yet
patrickchughllms.txtpatrickchugh/terravision/docs/llms.txt
staging and prod from one codebase with `--varfile`; why it matters (security review of another team's code against its design or an approved pattern, onboarding without account access, seeing
Steady3 mentions in 2 weeks
No other project uses it yet
siddsacharPipes a download into a shellllms.txtsiddsachar/Thoth/docs/llms-full.txt
Code Folders](/docs/developer/) for binding or cloning a folder from a conversation and working on it in the Developer panel. - [Knowledge](/docs/knowledge/) for local memory, durable document ingestion, graph review
No other project uses it yet
siddsacharllms.txtsiddsachar/Thoth/docs/llms.txt
conversation's Design panel. - [Code Folders](/docs/developer/) Route: /docs/developer/. Work on a folder or repository from a conversation: bind or clone it, review changes, run checks
No other project uses it yet
TraceMachinaDeletes or force-pushesllms.txtTraceMachina/nativelink/llms-full.txt
your own hardware, and cannot leave; and when agents write and commit code faster than people can review it, the build is the last checkpoint that has to stay honest
No other project uses it yet
TraceMachinallms.txtTraceMachina/nativelink/llms.txt
second check for whether your build is one that benefits. - [AI coding agents](https://docs.nativelink.com/use-cases/ai-coding-agents): An agent's edit-build-test loop runs far more often than a human
No other project uses it yet
razzantllms.txtrazzant/ouroboros/docs/llms.txt
Claudexor](https://claudexor.ai/): The local execution layer Ouroboros uses for delegated coding and hosted-agent review. - [Claudexor source](https://github.com/razzant/claudexor): Routing, execution, and durable evidence for connected coding
Steady3 mentions in 2 weeks
No other project uses it yet
skforecastllms.txtskforecast/skforecast/docs/llms-full.txt
# Skforecast > Python library for time series forecasting using scikit-learn compatible models, statistical methods
No other project uses it yet
bartblastReads credentialsllms.txtbartblast/hologram/llms-full.txt
# Hologram > Full-stack isomorphic Elixir web framework that lets you build interactive web applications
No other project uses it yet
najmuzzaman-mohammadllms.txtnajmuzzaman-mohammad/gawkbot/website/llms.txt
Runs on: your machine, with your keys; local models keep everything offline - Models: Claude Code (default), Codex CLI, Opencode, local models, Hermes Bot, OpenClaw - Bot computers: each bot gets
1 project uses a version of this
umputunReads credentialsllms.txtumputun/ralphex/llms.txt
Executes implementation plans task by task in fresh Claude sessions, then runs multi-phase code reviews. Write a plan, start ralphex, walk away. **GitHub:** https://github.com/umputun/ralphex ## Installation ```bash # from
No other project uses it yet
aklofasllms.txtaklofas/kicad-happy/llms.txt
kicad-happy > AI-powered design review skills for KiCad electronics projects A suite of 11 skills that turn an AI coding agent into an electronics design assistant. Structured Python analysis
Steady6 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.
