ai-prompting-multiagent-agent

Research scaffold for multi-agent prompt orchestration patterns and prompting methodology.

Status

R&D / Experimental. Maintained by Sage / 0SxD as part of an ongoing prompt-engineering and agent-skills research portfolio.

What this is

An agent architecture scaffold exploring prompting strategies for multi-agent systems. The repo organizes a reading corpus across three domains - prompt engineering, multi-agent systems, and LLM orchestration - and seeds a set of skills for extracting reusable prompting patterns. Focus is on the research and methodology layer, not production deployment.

Layout

• spec.md - session state and hot-cache protocol; read first per agent entry
• system_directive.md - agent operating directive and role constraints
• bootstrap.md - boot sequence and session initialization instructions
• skills.md - skill registry (seeded; drafts in progress)
• metrics_ledger.md - cost and progress ledger
• corpus/ - organized reading corpus (prompt_engineering, multi_agent_systems, llm_orchestration sub-folders)
• Sage_Agent_Prompt_Engineer_bundle_v1.zip - bundled prompt-engineer skill set (see spec.md for ingest plan)

License

MIT. See LICENSE. Author: Sage / 0SxD

Notes

This repo is part of an active R&D portfolio. Content may move, change, or be withdrawn. Issues welcome but reviews are best-effort.