Iglu is a machine-readable, open-source schema repository for JSON Schema from the team at Snowplow

Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.

A standard language for machine-readable code comments

AURA (Agent-Usable Resource Assertion) is an open protocol designed to make the web machine-readable. It replaces fragile screen scraping with a declarative aura.json manifest, allowing websites to expose their capabilities as a secure, efficient, and standardized API for AI agents.

282+ structured privacy & data protection skills for AI agents. GDPR, CCPA, EU AI Act, HIPAA, LGPD, PIPL, DPDP Act.

Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.

Loads a suite of R packages for creating and manipulating data packages including interacting with DataStore.

A structured, JSON-based schema for precise, multi-scene AI video prompting and cinematic control.

Python package designed to create Research Objects out of simple YAML files. Given the dataset dois, source code links and author DOIs, ya2ro will generate an HTML representation of the aggregated contents, as well as an RO-Crate with the machine-readable representation of the Research Object

AI-indexed portfolio and CV site with machine-readable profile data, evidence-backed case studies, verification signals, and a live MCP endpoint for agent access.

A multilingual compilation of open-source textual corpora across major & minor world languages - curated for accessibility and linguistic research. Includes links and metadata for publicly available, CC-licensed, and machine-readable datasets.

Build-time llms.txt, JSON-LD, markdown mirrors, AI crawler controls, and validation for Vite and Astro websites.

GovSCH is an Open-Source Schema for Authoring Cybersecurity & AI Governance Documents

A simple way for open source maintainers to request recognition from AI coding agents

APAI is an open protocol for describing, documenting, and validating artificial intelligence systems.

Machine Web Protocol™ - Open specification for machine-readable web content

SOC 2 Trust Services Criteria (control requirements) and framework mappings in machine readable formats.

Curated flags and configs to silence CLI noise for AI agents. Save 60-90% of wasted tokens.

WhoBot AI (呼波特) llms.txt — Machine-readable company profile for LLM consumption | 面向大模型的企业机器可读档案

Machine-readable protocol specifications and governance boundaries defining the PFIP Protocol Layer for interface identity, digital sovereignty, and human–system interface architectures.