Agents Best Practices
Use this skill when designing, generating an MVP blueprint for, auditing...
Install
npx skills add DenisSergeevitch/agents-best-practices --skill agents-best-practices -g -a claude-code -y- Repository
- DenisSergeevitch/agents-best-practices2.4k
- Category
- Design
- Updated
- 17d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
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.
Agents Best Practices
Use this skill when the user asks how to build, improve, debug, or evaluate an agentic harness. This is a general-purpose agent architecture skill. Coding agents are one subdomain only; apply the same principles to research, finance, legal, support, operations, sales, healthcare, education, data analysis, procurement, and workflow automation agents.
Freshness and self-update
Canonical source: DenisSergeevitch/agents-best-practices, branch main. Installed copies are snapshots, not guaranteed-current guidance.
Before applying this skill in each new task:
