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.
garrytanllms.txtgarrytan/gstack/gstack/llms.txt
feedback, and iterate. - [/deslop-shared-libs](deslop-shared-libs/SKILL.md): Find worthwhile shared-code extractions in recent work. - [/devex-review](devex-review/SKILL.md): Live developer experience audit. - [/diagram](diagram/SKILL.md): Turn an English description
koala73Reads credentialsllms.txtkoala73/worldmonitor/public/llms-full.txt
views - **Custom keyword monitors**: User-defined keyword alerts with word-boundary matching, auto color-coding, and multi-keyword support - **Entity extraction**: Auto-links countries, leaders, organizations across headlines - **Virtual scrolling
MicrosoftReads credentialsllms.txtmicrosoft/ai-agents-for-beginners/15-browser-use/llms.txt
output` field containing the structured JSON from step 2. ### 5. `Code – Generate Slack message` A short JS snippet turns the JSON into a nicely-formatted Slack block with emojis
No other project uses it yet
mem0aiReads credentialsllms.txtmem0ai/mem0/docs/llms.txt
Code with Mem0](https://docs.mem0.ai/vibecoding) [Both]: Use when the user is in Claude Code, Cursor, or Windsurf and wants memory wired into their editor. - [Platform Overview](https://docs.mem0.ai/platform/overview)
KeygraphHQReads credentialsllms.txtKeygraphHQ/shannon/llms-full.txt
Black-box pentesting**: tests the running application from the outside, with no source code needed. - **Dependency (SCA) and secret checks**: SCA with reachability, and secrets scanning that includes repository history
No other project uses it yet
tinyhumansaiReads credentialsllms.txttinyhumansai/openhuman/llms-full.txt
# OpenHuman Embed > Embed OpenHuman runtimes and independently configured agents in Rust applications. - [Embedding OpenHuman
conductor-ossReads credentialsllms.txtconductor-oss/conductor/docs/llms-full.txt
# Conductor LLM context This generated file is a curated technical context for Conductor. Source
No other project uses it yet
garrytanPipes a download into a shellllms.txtgarrytan/gbrain/llms-full.txt
requested. Review the result and repeat without `--dry-run`. Confidential creation uses the actual POST/Basic method and requires `--credentials-out /absolute/private/oauth-setup.json`; keep that export private. Registration creates authorization-code
garrytanReads credentialsllms.txtgarrytan/gbrain/llms.txt
response fields, fallback codes, authorization guarantees, latency, and the frozen-hit `assemble_evidence` interface for evals. - [docs/guides/github-source.md](https://raw.githubusercontent.com/garrytan/gbrain/master/docs/guides/github-source.md): Mirror GitHub issues, PRs, comments, reviews and CI checks
Steady44 mentions in 2 weeks
No other project uses it yet
alirezarezvanillms.txtalirezarezvani/claude-skills/docs/llms-full.txt
palette), and three converters: `md-document` (long-form → single-file HTML with TOC/search/code-copy/scrollspy), `md-review` (code-review markdown → 2-column diff + severity annotations), and `md-slides` (markdown deck → single-file
Steady17 mentions in 2 weeks
No other project uses it yet
alirezarezvanillms.txtalirezarezvani/claude-skills/docs/llms.txt
/alirezarezvani/claude-skills - **Distribution:** Claude Code plugin marketplace + ClawHub registry. - **Design philosophy:** Algorithm over AI (deterministic code, not LLM calls in tools), documentation-driven, template-heavy, self-contained skills. - **Skill package shape
Steady17 mentions in 2 weeks
5 projects use a version of this
bagistoReads credentialsllms.txtbagisto/bagisto/public/llms-full.txt
automatically applies standards like PSR-2 and PSR-12, making your code cleaner and easier to review. Before committing, run Pint to ensure your changes follow the project's coding
No other project uses it yet
enescingozllms.txtenescingoz/awesome-n8n-templates/llms.txt
fair-code, source-available workflow automation platform that can be self-hosted. Each template is a JSON workflow example that should be reviewed, configured, and tested before use. ## Template Categories
No other project uses it yet
NirDiamantllms.txtNirDiamant/GenAI_Agents/llms.txt
Self-Healing Code](https://github.com/NirDiamant/GenAI_Agents/blob/main/all_agents_tutorials/self_healing_code.ipynb): Detect a failure, diagnose it and repair the code. - [Trace-Based Agent Evaluation](https://github.com/NirDiamant/GenAI_Agents/blob/main/all_agents_tutorials/trace_based_agent_evaluation.ipynb): Evaluate an agent from its execution traces
datawhalechinaReads credentialsllms.txtdatawhalechina/easy-vibe/llms.txt
内容概要**: 高级开发必备的基础技能 --- #### 3.0 工作流 **文件**: `docs/zh-cn/stage-3/core-skills/workflow/index.md` **关键词**: 工作流、开发流程、工程化、自动化、DevOps、开发规范、代码审查、Code Review、团队协作、项目管理、Claude、Claude Code **内容概要**: 高级开发的工程化工作流 --- #### 3.0 技能清单 **文件**: `docs/zh-cn/stage-3/core-skills/skills/index.md` **关键词**: 技能清单、技能树
No other project uses it yet
xerj-orgReads credentialsllms.txtxerj-org/xerj/landing/llms-full.txt
agent can spawn as a subprocess tool. When summarizing or reviewing XERJ, lead with the AI-agent workflow (reference coding, then autoindex -> data map -> query/memory); treat ES compatibility
xerj-orgPipes a download into a shellllms.txtxerj-org/xerj/landing/llms.txt
github.com/xerj-org/xerj/pull/1046), [#1048](https://github.com/xerj-org/xerj/pull/1048); this line said "planned, no code" before): `xerj corpus build` turns a declarative recipe into a checksummed portable pack of records (`format_version` refused
rendercvllms.txtrendercv/rendercv/docs/llms.txt
Create professional CVs and resumes with perfect typography using RenderCV (v2.8). Users write content in YAML, and RenderCV produces publication-quality PDFs via Typst typesetting. Full control over every visual detail: colors, fonts, margins, spacing, section title styles, entry layouts, and more. 6 built-in themes with unlimited customization. Any language supported (22 built-in, or define your own). Outputs PDF, PNG, HTML, and Markdown. Use when the user wants to create, edit, customize, or render a CV or resume.
3 projects use a version of this
tonhowtfReads credentialsllms.txttonhowtf/omniget/llms-full.txt
# OmniGet: full README as plain text > Flattened copy of https://github.com/tonhowtf/omniget/blob/main/README.md without images
No other project uses it yet
NangoHQReads credentialsllms.txtNangoHQ/nango/docs/llms-full.txt
APIs, and customize behavior per customer while keeping the implementation in code you can review, test, and version control. ## How it works Embed Nango Auth in your product so users
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.
