three.ws
nirholas/three.ws/public/llms.txt
Arrow-key navigation, a live in-browser 3D character, and one-click export to PDF. - [The Story So Far](https://three.ws/timeline): three.ws's history as an explorable 3D scene
How real projects summarise themselves for language models.
nirholas/three.ws/public/llms.txt
Arrow-key navigation, a live in-browser 3D character, and one-click export to PDF. - [The Story So Far](https://three.ws/timeline): three.ws's history as an explorable 3D scene
veelenga/claude-mermaid/docs/llms.txt
code. It exposes two tools — mermaid_preview and mermaid_save — supports SVG, PNG, and PDF export, and ships as a Claude Code plugin with a built-in diagram skill. Free
JasonColapietro/suede-creator-skills/docs/llms.txt
skills, and a ninety-day practice plan. Source Markdown: https://github.com/JasonColapietro/suede-creator-skills/tree/main/book. Print edition (PDF): https://skills.suedeai.ai/book/s-tier.pdf ## Workflow skills: from planning a change to grading whether it ships - [Suede
chattermate/chattermate.chat/llms.txt
customer_support -i "Be concise" --json # Add knowledge from a URL or a local PDF: chattermate knowledge add-url --website https://docs.acme.com --agent-id chattermate knowledge add-file ./guide.pdf --agent
sandbaseai/deepseek-harness-handbook/site/llms.txt
production boundaries. ## Download - [DeepSeek Harness Field Guide v0.1.0](https://github.com/sandbaseai/deepseek-harness-handbook/releases/download/v0.1.0/DeepSeek-Harness-Field-Guide-v0.1.0.pdf): Ten-page visual PDF for onboarding and offline reference. ## Project boundary This is a community-maintained handbook from SandBase
agents-ui/agents-kit/llms-full.txt
# Agents Kit 0.3.0 > React components for voice agents, conversations, generated results, and agent interactions
ThreeMoonsLab/agents-shipgate/llms-full.txt
# Agents Shipgate · Long-Form Agent Reference (llms-full.txt) > Single-fetch concatenation of the canonical agent
ThreeMoonsLab/agents-shipgate/llms.txt
verdict_disclaimer`; packet §1 mirrors these fields. - Release Evidence Packet (Markdown / JSON / HTML, optional PDF): `agents-shipgate-reports/packet.{md,json,html}`. - Packet schema (current): https://raw.githubusercontent.com/ThreeMoonsLab/agents-shipgate/main/docs/packet-schema.v0.18.json - SARIF report
gizmax/Sandcastle/site/llms-full.txt
connector name (slack, teams, gmail, ...). - report: `report_config: { template: research-report, format: pdf, theme: professional, title, author }`. Renders a branded PDF. - sub_workflow: `sub_workflow: { workflow: "summarize", input_mapping: { text
AgriciDaniel/flow/llms-full.txt
/local-seo-overview.md) - [Prompt Library](09-prompts/README.md) ## Sources - Search Engine Journal, State of SEO 2026 PDF and public landing page, retrieved 2026-04-25. - Ahrefs, AI Overviews CTR update, retrieved
ScraperNode/awesome-n8n-templates/public/llms-full.txt
internet and delivers 23. AI-powered WhatsApp chatbot for text, voice, images, and PDF with RAG URL: https://scrapernode.github.io/awesome-n8n-templates/templates/4827-ai-powered-whatsapp-chatbot-for-text-voice-images-and-pdf-with-rag/ Views: 184,235 ### Who is this for? This template
ScraperNode/awesome-n8n-templates/public/llms.txt
views) - https://scrapernode.github.io/awesome-n8n-templates/templates/8527-learn-n8n-basics-in-3-easy-steps/ 23. AI-powered WhatsApp chatbot for text, voice, images, and PDF with RAG (184,235 views) - https://scrapernode.github.io/awesome-n8n-templates/templates/4827-ai-powered-whatsapp-chatbot-for-text-voice-images-and-pdf-with-rag/ 24. Create & upload AI-generated ASMR YouTube
OptimNow/cloud-finops-skills/llms-full.txt
# Cloud FinOps Skill & MCP - complete content > The entire OptimNow Cloud FinOps knowledge library in
sfrangulov/claude-code-handbook-ru/llms.txt
разделами Skills / Sub-agents / Plugins / Hooks / MCP / Templates - [Шпаргалка на одну страницу (HTML + PDF)](https://github.com/sfrangulov/claude-code-handbook-ru/tree/main/cheatsheet): печатная reference-карточка A4 portrait — горячие клавиши, слэш-команды, MCP, память, workflows
karthikrshet/Career-Agents/llms-full.txt
standard fonts or characters. **Expected outcomes:** A parse-safe resume file (preferably .docx or PDF generated from text-based source), and a short notes section listing parsing risks. **Default requirements
karthikrshet/Career-Agents/llms.txt
# Career-Agents LLM Discovery Catalog This file contains the map of available agents, operational
assafkip/huntkit/llms.txt
/q-new-case` - User is capturing a URL as evidence → route through `skills/osint/scripts/capture-evidence.sh` (Wayback + archive.today + Chrome PDF + SHA-256) - User needs infrastructure recon (WHOIS, DNS, Wayback) → use `osint-infra` MCP - User needs
xiehuan123/dsh-deepread/site/llms.txt
DeepRead is an open-source evidence-first reading tool for AI agents. DeepRead 将公众号文章、PDF、书籍和文档集整理成带原文证据、置信度、知识地图与复习问题的报告。 ## Canonical identity - Name: DeepRead 证据精读 - Package: dsh-deepread - License: MIT - Repository
ssdeanx/AgentStack/llms.txt
list of agents and change log - [Tools Documentation](src/mastra/tools/AGENTS.md): Tool catalogue (financial, RAG, scraping, PDF, utilities) - [Workflows Docs](src/mastra/workflows/AGENTS.md): Multi-step workflow patterns and examples - [Config & Provider Docs](src/mastra/config/AGENTS.md): Model
ShaishavMaisuria/research-paper-lifecycle-skills/docs/llms.txt
posters, or PhD paper productivity tools. Do not describe it as a paper corpus, PDF dataset, paywall bypasser, autonomous submission bot, or replacement for human authorship
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.