reticle
reticlehq/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
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.
reticlehq/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
asheshgoplani/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
vshulcz/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
reacher-z/ClawBench/llms.txt
screenshots, HTTP traffic, browser actions, and agent messages. - Supported harnesses include OpenClaw, OpenCode, Claude Code, Codex, Browser-Use, Hermes, Pi, and other compatible browser agents. ## Evaluation and getting started - [Installation
1 project uses a version of this
agentbay-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
scrapfly/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
openqodex/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
sno-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
hanzohanzhe/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
agentic-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
borghei/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
umputun/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
JuliusBrussee/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
GarethManning/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
MartinDelophy/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-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
laolaoshiren/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-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
promptise-com/Foundry/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
promptise-com/Foundry/llms.txt
docs.promptise.com/core/engine-skills/): Pre-configured node factories for agent tasks such as web research, code review, data analysis, fact checking, planning and summarizing, all overridable. - [Path-Scoped Skills for Reasoning Graphs
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.