agents-best-practices: A provider-neutral Agent Skill library for designing, auditing, and refactoring agentic harnesses compatible with Codex and Claude Code. It covers the full control plane of an agent runtime: typed tool design, permission checks, context management, memory, and observability. Targeted at developers building production-ready agent systems across any domain or AI provider.; faf: FAF (Foundational AI-context Format) is an IANA-registered open format for persistent AI context. It transforms project metadata into structured YAML that AI tools can instantly understand, eliminating the need to re-explain projects. With 50,000+ downloads and multiple MCP integrations, FAF is a universal standard for AI context across different platforms.
Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare)
Quickly bootstrap AI context for new or existing projects