Consulting & Advisory
Agents Best Practices
Use this skill when designing, generating an MVP blueprint for, auditing, troubleshooting, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, record provenance, interactive presentation, user-memory lifecycles, environment-adaptive tools, speculative tool execution, late-bound capabilities, permissions, system prompts, planning, goals, always-on agents and durable runtime, adaptive agent teams, context compaction, memory, skills, MCP/external connectors, public-board communications, realtime voice agents, hardware agents and board deployment, self-refining recursive harnesses, programmable context, continual refinement, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.
- Publisher / source
- DenisSergeevitch/agents-best-practices (found on GitHub top repositories)
- Upstream record
- DenisSergeevitch/agents-best-practices
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
9af04f6db8855d5af3a6dfad67e1491f27d808a2b476cc5dbc1aef6da3aa07a0