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.
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
arihantcodesllms.txtarihantcodes/spectrum-ui/public/llms-full.txt
# Spectrum UI — Full Catalog > Spectrum UI is an open-source React component and block
No other project uses it yet
ealushllms.txtealush/emoji-picker-react/llms-full.txt
excluded) # Integrating emoji-picker-react: agent guide A decision-first guide for coding agents and the people reviewing their output. Every snippet here matches the shipped API. For a task
Steady22 mentions in 2 weeks
No other project uses it yet
hotovoReads credentialsllms.txthotovo/aider-desk/llms.txt
important context. It is designed to be easily consumable by AI systems for analysis, code review, or other automated processes. File Format: ------------ The content is organized as follows: 1. This
No other project uses it yet
nucliwebllms.txtnucliweb/webperf-snippets/public/llms-full.txt
# WebPerf Snippets — Full Reference Tested JavaScript snippets that measure and debug web performance. Your
obseillms.txtobsei/obsei/website/llms.txt
strips PII from feedback before any LLM sees it. obsei collects customer feedback from reviews, tickets, survey exports and communities, redacts personal data and pseudonymizes authors at ingest, labels
mbaileyllms.txtmbailey/voicemode/llms.txt
based Git repository hosting, CI/CD via GitHub Actions, project management with Issues and Projects, code review via pull requests, AI-powered development with GitHub Copilot, and APIs (REST and GraphQL
Steady9 mentions in 2 weeks
No other project uses it yet
RyanAlbertsllms.txtRyanAlberts/best-of-Agent-Harnesses/llms.txt
# Best of Agent Harnesses > Hand-curated, ranked list of 187 AI agent harnesses — the
NousResearchReads credentialsllms.txtNousResearch/atropos/llms.txt
Developers:** Install pre-commit hooks to ensure code quality: ```bash pre-commit install ``` --- ## 7. Quick Start Guide 1. **Create Your First Environment:** * Review the [Base Environment Class Documentation](atroposlib/envs/README.md
sceneviewReads credentialsllms.txtsceneview/sceneview/llms.txt
# SceneView > Declarative 3D and AR SDK for Jetpack Compose (Filament, ARCore), SwiftUI (RealityKit, ARKit
sipyourdrink-ltdPipes a download into a shellllms.txtsipyourdrink-ltd/bernstein/docs/llms-full.txt
execution, git worktree isolation, janitor verification, quality gates (lint, types, PII scan), cross-model code review, circuit breaker for misbehaving agents, token growth monitoring with auto-intervention. - **Intelligence**. Contextual bandit
Surging3 mentions in 2 weeks
1 project uses a version of this
SceneViewReads credentialsllms.txtSceneView/sceneview-android/llms.txt
# SceneView > Declarative 3D and AR SDK for Jetpack Compose (Filament, ARCore), SwiftUI (RealityKit, ARKit
No other project uses it yet
ksimbackPipes a download into a shellllms.txtksimback/hermes-ecosystem/llms-full.txt
Hermes skill executions | — | Experimental | --- ## Security Notes All community repos with 25+ stars were reviewed for obfuscated code, credential harvesting, typosquatting, supply chain attacks, crypto mining, and excessive permissions. **No repos
ksimbackllms.txtksimback/hermes-ecosystem/llms.txt
marshallrichards/ClawPhone - [A multi-agent build pipeline](https://hermesatlas.com/use-cases/multi-agent-build-pipeline): I want several agents planning, coding, reviewing and shipping in parallel instead of one agent doing everything serially — builderz-labs/mission-control
LING71671Reads credentialsllms.txtLING71671/open-reverselab/docs/llms-full.txt
# ReverseLab — Full Knowledge Base Dump for LLM Ingestion Total articles: 183 Generated: 2026-08
No other project uses it yet
reticlehqPipes a download into a shellllms.txtreticlehq/reticle/llms.txt
puts `reticle` on PATH once per machine and registers the MCP server with every coding agent it can reach. Codex CLI keeps a TOML config, and without the `codex` command
asheshgoplaniPipes a download into a shellllms.txtasheshgoplani/agent-deck/llms-full.txt
wait`: returns immediately, check output later with `agent-deck session output "Title"` ### Examples ```bash # Code review from Codex $SKILL_DIR/scripts/launch-subagent.sh "Codex Review" "Read cmd/main.go and suggest improvements" --tool codex --wait
vshulczPipes a download into a shellllms.txtvshulcz/deja-vu/docs/llms.txt
sqlite3 recipes, search and sync - [Switching agents](https://vshulcz.github.io/deja-vu/guide/switching-agents.html): move between Claude Code, Codex and Cursor without re-explaining - [One set of rules for every agent](https://vshulcz.github.io/deja-vu/guide/one-rules-file.html):
Steady30 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.
