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.
chernistryPipes a download into a shellllms.txtchernistry/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
1 project uses a version of this
hanzohanzhellms.txthanzohanzhe/Grandet/llms.txt
raw.githubusercontent.com/hanzohanzhe/Grandet/main/data/RELEASE-v3.json : schema, SHA-256, observation policy and release status - https://raw.githubusercontent.com/hanzohanzhe/Grandet/main/data/free-tokens-v3.json : complete reviewed v3 records and conditions - https://raw.githubusercontent.com/hanzohanzhe/Grandet/main/CATALOGUE-v3.md : full bilingual records - https://raw.githubusercontent.com/hanzohanzhe/Grandet/main/METHODOLOGY.md : how the data
DeepMystllms.txtDeepMyst/Mysti/llms.txt
separate fix. - [History and checkpoints](https://raw.githubusercontent.com/DeepMyst/Mysti/main/docs/walkthroughs/history-and-checkpoints.md): Reopen, fork, export and understand code rewind boundaries. - [Troubleshooting](https://raw.githubusercontent.com/DeepMyst/Mysti/main/docs/TROUBLESHOOTING.md): Diagnose setup, authentication, transport, browser and recovery failures. - [Backup
agentbay-aiReads credentialsllms.txtagentbay-ai/wuying-agentbay-sdk/llms-full.txt
Directory structure: └── wuying-agentbay-sdk/ ├── README.md ├── docs/ │ ├── README.md │ ├── guides/ │ │ ├── README.md │ │ ├── browser-use/ │ │ │ ├── README.md │ │ ├── codespace
1 project uses a version of this
scrapflyllms.txtscrapfly/scrapfly-scrapers/llms.txt
search - `scrape_reviews(skuid, max_pages=None)`: scrape review data from the reviews API - **Bing.com** (`bing-scraper/`): [code](https://github.com/scrapfly/scrapfly-scrapers/tree/main/bing-scraper) | guide: [How to Scrape Bing Search with Python
openqodexllms.txtopenqodex/openqodex/docs/llms.txt
OpenQodex for AI agents](for-agents.md) - [Agents](agents.md) - [Benchmark results](benchmark-results.md) - [The review benchmark](benchmark.md) - [Code review in Claude Code](claude-code-review.md) - [Commands](cli.md) - [Configuration](config.md) - [Custom scanners](custom-scanners.md) - [FAQ](faq.md) - [GitHub
Steady7 mentions in 2 weeks
No other project uses it yet
borgheiReads credentialsllms.txtborghei/Claude-Skills/site/llms.txt
posture security across AWS, Azure, and GCP — IAM least privilege, public exposure, encryption, logging... - [Code Reviewer](https://borghei.github.io/Claude-Skills/skills/engineering/code-reviewer.html): Code review automation for TypeScript, JavaScript, Python, Go, Swift, and Kotlin
Steady6 mentions in 2 weeks
No other project uses it yet
agentic-communityPipes a download into a shellllms.txtagentic-community/mcp-gateway-registry/docs/llms.txt
Agent State Management **Agent State File (registry/agents/agent_state.json):** ```json { "agents": { "/code-reviewer": { "path": "/code-reviewer", "name": "Code Reviewer Agent", "enabled": true, "registered_at": "2024-11-09T14:45:00Z", "last_modified
sno-aillms.txtsno-ai/sno-station/llms.txt
Station > Open-source software that turns the agents a developer already uses (Claude Code, > Codex, Cursor, Hermes Agent, OpenClaw) into one squad on their own machine (Sno Station
Steady9 mentions in 2 weeks
No other project uses it yet
MartinDelophyllms.txtMartinDelophy/ai-video-editor/public/llms.txt
multi-track timeline editing, visual keyframes and MP4/WebM export. Canonical site: https://video-editor.ai-creator.top/ Source code: https://github.com/MartinDelophy/ai-video-editor License: MIT ## Primary pages - [Open the editor](https://video-editor.ai-creator.top/): The live
Vrun-designllms.txtVrun-design/openflowkit/public/llms.txt
repo's architecture `discover_architecture` with `{ path }` proposes a C4 workspace (`dsl`) from the code. Review its names, `create_diagram` with it, and write the text to `architecture.ofk
umputunllms.txtumputun/revdiff/site/llms.txt
diffs, files, and documents with inline annotations revdiff is a terminal-based UI for code review and document annotation. It displays diffs from Git, Mercurial, and Jujutsu repositories with syntax
JuliusBrusseellms.txtJuliusBrussee/caveman-code/llms.txt
format-per-model ## Cookbook & API - [Cookbook](docs/cookbook.md): GitHub Actions, multi-agent review, daemon pair programming - [Comparison](docs/comparison.md): Caveman Code vs Claude Code / Codex / Aider / Crush / opencode - [Troubleshooting](docs/troubleshooting.md): install, auth
GarethManningllms.txtGarethManning/claude-education-skills/llms.txt
science/](https://github.com/GarethManning/education-agent-skills/tree/main/skills/memory-learning-science): 8 skills — retrieval practice, spaced practice, interleaving, cognitive load, dual coding, elaborative interrogation, feedback - [self-regulated-learning/](https://github.com/GarethManning/education-agent-skills/tree/main/skills/self-regulated-learning): 5 skills — metacognition, self-regulation scaffolds
AVIDS2Reads credentialsllms.txtAVIDS2/memorix/llms-full.txt
evidence can be requalified when code moves. - **Claim Ledger** keeps provenance, confidence, conflicts, and lifecycle state separate from prose. - **Knowledge Workspace** compiles claims into reviewable Markdown proposals; it does
AVIDS2Reads credentialsllms.txtAVIDS2/memorix/llms.txt
provenance - **Code State**: versioned local file/symbol/import facts and freshness links that keep memory tied to the current checkout - **Claim Ledger and Knowledge Workspace**: source-backed claims compiled into reviewable Markdown
borskillms.txtborski/travel-hacking-toolkit/llms.txt
unified comparison tools. Designed for use by AI coding assistants and agents (OpenCode, Claude Code, Codex). Key concepts: - **Cash prices** come from GDS feeds (Duffel, Ignav) and are bookable fares
laolaoshirenllms.txtlaolaoshiren/claude-code-skills-zh/docs/llms.txt
全局）或项目内 `.claude/skills/`（项目级） 当前精选数量与最近更新日期以 README 顶部徽章为准（由自动维护任务同步），此处不再重复硬编码，避免与实际数据脱节。 ## 值得先装的 5 个原创技能 - zh-code-reviewer：中文代码审查，输出中文审查报告 — https://github.com/laolaoshiren/claude-code-skills-zh/tree/main/skills/zh-code-reviewer - zh-readme：先分析项目，再生成中文 README — https://github.com/laolaoshiren/claude-code-skills-zh/tree/main/skills/zh-readme
kinopio-clubllms.txtkinopio-club/kinopio-client/public/llms.txt
features - real-time collaboration with privacy settings - backlinked [[Tags]] - add images, websites, and PDFs - code blocks - trackable todos - groups for shared spaces - quick capture browser extensions - save as pdf - mobile
cryxnetReads credentialsllms.txtcryxnet/DeepMCPAgent/llms-full.txt
Data Analysis Agent](guides/lab-data-analysis.md): SQL queries, cross-table analysis, specialized reasoning pattern - [Lab: Code Review Agent](guides/lab-code-review.md): Adversarial critique, per-node models, security scanning - [Lab: MCPcast Your SaaS API](guides/lab-mcpcast-storefront.md
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.
