agent-lsp: agent-lsp is a stateful runtime over real language servers. It indexes your workspace once, keeps the index warm, and adds a skill layer that encodes correct multi-step operations. It provides speculative execution, phase enforcement, and token savings for AI agents.; 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.
Multi-project sessions: work across projects without reconfiguring
Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare)