How real projects summarise themselves for language models.
oldskultxollms.txtoldskultxo/aictx/docs/llms-full.txt
AICTX full agent-readable documentation map AICTX is the official Python `aictx` package and CLI for repo-local continuity for coding agents: work state, handoffs, decisions, failures, validation evidence
dcc-mcpllms.txtdcc-mcp/dcc-mcp-maya/llms.txt
sync with the gateway FileRegistry: * `server.publish_capability_snapshot(reason="...")` — push current Maya `scene / version / documents / display_name` via `DccServerBase.update_gateway_metadata`. Invoked automatically on `start()`, `load_skill(...)`, and `unload_skill
dearlordylordllms.txtdearlordylord/huly-mcp/site/llms.txt
Huly CLI: https://huly-mcp.dearlordylord.com/cli/huly-mcp-vs-cli/ - Huly CLI npm package: https://www.npmjs.com/package/@firfi/huly-cli - Huly CLI documentation: https://github.com/dearlordylord/huly-mcp/tree/master/packages/huly-cli ## Positioning - The maintained Huly MCP server for agent workflows. - Full Huly parity
Supervertalerllms.txtSupervertaler/Supervertaler-Workbench/docs/llms.txt
live Studio session. This is the product site. The full, always-current documentation is at https://docs.supervertaler.com/trados/ and is itself AI-readable (see Optional below) – prefer the docs
Claws-ZHllms.txtClaws-ZH/awesome-ai-api/llms.txt
Features - 200+ AI API providers tracked - Daily automated /v1/models probing for liveness verification - Bilingual documentation (English + Chinese) - OpenAI-compatible endpoint focus - Covers: ChatGPT API, Claude, DeepSeek, Gemini, and more
OptimNowllms.txtOptimNow/cloud-finops-skills/llms-full.txt
with enforcement | | FinOps cadence | Reactive | Weekly reviews | Continuous | | Optimisation | One-off projects | Documented process | Self-executing policies | Always assess maturity before recommending solutions. A Crawl organisation needs visibility before optimisation
sfrangulovllms.txtsfrangulov/claude-code-handbook-ru/llms-full.txt
Developer experience (14)](https://github.com/VoltAgent/awesome-claude-code-subagents/tree/main/categories/06-developer-experience) | cli-developer, mcp-developer, refactoring-specialist, build-engineer, documentation-engineer | Внутренние инструменты и DX-задачи | | [🎯 Specialized domains (13)](https://github.com/VoltAgent/awesome-claude-code-subagents/tree/main/categories/07-specialized-domains) | blockchain, fintech, gamedev
karthikrshetllms.txtkarthikrshet/Career-Agents/llms-full.txt
Career-Agents Full Prompt Manifest This document bundles the complete details, prompt rules, workflows, company tracks, and career path schemas in the Career Operating System. ============================================================ SECTION 1: SPECIALIZED CAREER AGENTS
karthikrshetllms.txtkarthikrshet/Career-Agents/llms.txt
Level: Entry | Industry: All Skills: Professional Networking, LinkedIn Strategy, Outreach, Cold Emailing, Supportive, Networking - Documentation Specialist (ID: documentation-specialist | Path: projects/documentation-specialist.md) Description: A technical documentation agent that turns project outputs
Rtur2003llms.txtRtur2003/Claude-Code-Promts-Skills/llms.txt
Compliance / governance: ./prompts/english/agents/compliance-governance-prompt.md - Git / version control: ./prompts/english/agents/git-version-control-prompt.md - Developer experience / tooling: ./prompts/english/agents/developer-experience-tooling-prompt.md - Monorepo structure: ./prompts/english/agents/monorepo-complex-projects-prompt.md - Documentation: ./prompts/english/agents/documentation-prompt.md - UI / design systems: ./prompts/english/agents/ui-design-systems-prompt.md - AI / LLM integration: ./prompts/english/agents/ai-llm-integration-prompt.md - Consequential research and source-verified comparisons
Kanevryllms.txtKanevry/session-orchestrator/site/llms-full.txt
additional post-edit checks; Pi uses a tool-call bridge. Cursor and Pi have documented event-coverage limits. Codex leaves PreToolUse handlers empty because its tool names and edit payloads
Kanevryllms.txtKanevry/session-orchestrator/site/llms.txt
data Claude Code runs guard hooks directly. Cursor and Pi use bridges with documented event limits and execute tasks sequentially. Codex CLI offers selectable workflow skills and parallel agents
MrPunyapalllms.txtMrPunyapal/laravel-auditor/docs/llms-full.txt
name": "routes", "arguments": { "uri": "api/" } } ``` When a filter is applied, the response keeps every documented field and adds two keys: - `filtered` — always `true`, so the agent knows the payload
MrPunyapalllms.txtMrPunyapal/laravel-auditor/docs/llms.txt
part of V1. - https://mrpunyapal.github.io/laravel-auditor/contributing: How to work on Laravel Auditor locally, including documentation
Google Cloudllms.txtGoogleCloudPlatform/k8s-aibom/docs/llms.txt
open-source (Apache-2.0), unprivileged Kubernetes controller that generates CycloneDX 1.6 ML-BOM documents for AI workloads at runtime — inference services, agent stacks, RAG pipelines, training jobs, and evaluation harnesses
sandraschillms.txtsandraschi/blender-mcp/llms-full.txt
Docs - Full Content ### Readme Source: docs\development\README.md ``` # 💻 Development Documentation **Guides, best practices, and lessons learned for developing blender-mcp** --- ## 📚 **Documentation Index** ### **1. AI Development Rules** 📄 [AI_DEVELOPMENT_RULES.md](AI_DEVELOPMENT_RULES.md) **Guidelines
xiaobei930llms.txtxiaobei930/cc-best/docs/llms.txt
Lead → Designer → Dev → QA → Verify → Commit Each role has MUST/SHOULD/NEVER boundaries and creates numbered documents (REQ-XXX → DES-XXX → TSK-XXX). ### Autonomous Decision Principles (A1-A5) - A1: Context inference
xiehuan123llms.txtxiehuan123/dsh-deepread/site/llms.txt
Produce knowledge maps, data tables, recall questions and XMind-compatible outlines. - Compare 2-10 documents for agreement, conflict and complementary evidence. - Support quick, deep, map, feynman and book reading modes
datallmhubllms.txtdatallmhub/agentflow4j/docs/llms.txt
starter` via JitPack. Compatible with Spring Boot 3.x, Spring AI 1.0+, Java 17+. ## Documentation - [Home / overview](https://datallmhub.github.io/agentflow4j/): site landing with the comparison table and the 30-second
enessarillms.txtenessari/metabase-ai-assistant/llms.txt
only safeguards. - `db_list`, `db_tables`, `db_schemas`: Database schema exploration and metadata introspection. ## Documentation Links - [Full LLM Reference](llms-full.txt) - [Main Documentation](README.md) - [Türkçe Dokümantasyon](README_TR.md) - [中文文档](README_ZH.md) - [التوثيق باللغة
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.
