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.
agents-uillms.txtagents-ui/agents-kit/llms.txt
then switch to voice without losing your draft. - [example-coding-app](https://agents-ui.github.io/agents-kit/c/example-coding-app.json): An agent proposes a patch, you review it, and the checks explain the result. - [example-voice
marcimastro98llms.txtmarcimastro98/Xenon/docs/llms.txt
Deck profiles and widgets, with no coding required - [Publish to the catalog](https://xenon-app.com/submit/): how to submit a creation; a human reviews every submission - [Privacy](https://xenon-app.com/privacy.html): what
KilbexReads credentialsllms.txtKilbex/Vigla/llms-full.txt
Read the architecture · Take an open task --- Five coding agents should not mean five terminals, five diff reviews, and five unread merges. Vigla gives the work one operations
Kilbexllms.txtKilbex/Vigla/llms.txt
Revert the whole mission when the result is wrong. --- Five coding agents should not mean five terminals, five diff reviews, and five unread merges. Vigla gives the work one operations
JSv4llms.txtJSv4/Docxodus/docs/llms.txt
revisions`, `docx_diff_get_edit_script`, `docx_diff_get_semantic_changes`. - Merge several reviewers' copies into one multi-author redline: .NET `DocxDiff.Consolidate`; npm `docxDiffConsolidate`; Python `docx_diff_consolidate`; MCP `docxodus
EliasOulkadillms.txtEliasOulkadi/shokunin/llms.txt
Mobile**: flutter, react-native - **Quality**: test-commander, performance-profiler, code-review - **Content**: content-marketing, translate-craft, communication, documentation - **Productivity**: git-workflow, windows-powershell, strategy, finance - **Documents**: kami, kagen, portfolio-auto
EliasOulkadillms.txtEliasOulkadi/shokunin/.pack/llms.txt
Mobile**: flutter, react-native - **Quality**: test-commander, performance-profiler, code-review - **Content**: content-marketing, translate-craft, communication, documentation - **Productivity**: git-workflow, windows-powershell, strategy, finance - **Documents**: kami, kagen, portfolio-auto
jangtrinhllms.txtjangtrinh/design-os-3d-blender/docs/llms.txt
graded reviews in interactive Three.js 3D viewers. ## Model Context Protocol (MCP) Server `design-os-3d-blender` exposes a certified First-Party Model Context Protocol server for AI coding agents (Claude
jangtrinhllms.txtjangtrinh/design-os-3d-blender/llms.txt
graded reviews in interactive Three.js 3D viewers. ## Model Context Protocol (MCP) Server `design-os-3d-blender` exposes a certified First-Party Model Context Protocol server for AI coding agents (Claude
tecnologicachilePipes a download into a shellllms.txttecnologicachile/mail-mcp/site/llms-full.txt
Apple Silicon), Windows (x86_64), Docker ## What it does Connect mail-mcp to Claude Code, Claude Desktop, Cursor or any MCP client and the agent can work with an inbox
tecnologicachilePipes a download into a shellllms.txttecnologicachile/mail-mcp/site/llms.txt
WRITE_ENABLED=true; draft tools, which save messages in the account's Drafts folder for review, need MAIL_DRAFTS_ENABLED=true. Install: `brew install tecnologicachile/tap/mail-mcp` (macOS/Linux), `curl --proto '=https' --tlsv1.2 -LsSf
trahloffllms.txttrahloff/Aldine/site/llms.txt
Cowork; a signed link in Claude Code and other MCP clients). Every change is a git commit authored "Claude", with review and revert in the editor. Connect claude.ai or Claude
kagan-shllms.txtkagan-sh/kagan-legacy/docs/llms.txt
Kagan Documentation > Documentation for Kagan: a Kanban TUI for AI coding agents with a structural human review gate. No agent-authored task reaches your main branch without an explicit approval
hogancvllms.txthogancv/coordinate-agents/docs/llms.txt
Coordinate Agents > Local Web Workspace for coding-agent terminal pairs. Default Collaboration > uses Codex to clarify, delegate and review, and Antigravity to implement. > Custom Terminals supports two user-selected
NARUBROWNllms.txtNARUBROWN/spine/llms.txt
generated Swagger files are supporting material; when they disagree with code, follow code. The external demos reviewed on 2026-07-30 all pin Spine `v0.5.1`. Their architecture is useful
Apra-LabsReads credentialsllms.txtApra-Labs/apra-fleet/llms-full.txt
built by the product you are looking at.** An > autonomous apra-fleet workflow plans, codes, reviews, tests, and ships > this codebase in multi-hour sprints -- filing bugs against itself
Apra-Labsllms.txtApra-Labs/apra-fleet/llms.txt
doer-reviewer loop. - [Troubleshooting](docs/troubleshooting.md): Common symptoms and fixes. ## Project - [Roadmap](ROADMAP.md): What is planned next for Apra Fleet. - [Contributing](CONTRIBUTING.md): How to contribute code, docs, and skills. ## Community - [GitHub
UmairReads credentialsllms.txtUmair/stalemap/site/llms-full.txt
were written by an author who never saw stalemap's code, notes or results. A second, equally blind reviewer checked every task and applied the pilot rule. - The build
Umairllms.txtUmair/stalemap/site/llms.txt
registry and GitHub. Source code is scanned locally and never uploaded. - **Install for Claude Code:** `/plugin marketplace add Umair/stalemap` then `/plugin install stalemap@stalemap`. Other agents: `npx stalemap setup --agent
2389-researchllms.txt2389-research/claude-plugins/docs/llms.txt
Linux, Windows, and macOS without Xcode - [speed-run](https://skills.2389.ai/plugins/speed-run/): Token-efficient code generation pipeline - parallel implementation with hosted LLM (Cerebras) for ~60% token savings. Includes MCP server. - [binary
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.
