DenisSergeevitch/agents-best-practices resource

Health v2 · maintenance only

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Adoption not part of the score

2243 stars · 204 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A provider-neutral Agent Skill package that guides designing, auditing, refactoring, and explaining agentic harnesses for tools like Codex and Claude Code. It is installed into an agent's skills directory and provides best-practice knowledge rather than executable software.

Use cases

• design an agentic harness for an AI agent
• audit and refactor my agent's tool permissions
• generate an MVP blueprint for a coding agent
• learn best practices for building AI agent workflows
• add agent skills to Claude Code or Codex
• understand planning mode and speculative tool execution in agents

When to choose

• you are building or improving agentic workflows and harnesses
• you use Claude Code, Codex, or a compatible skills-based agent
• you want provider-neutral guidance on agent architecture, permissions, and observability

When to avoid

• you need a runnable agent framework or runtime, not documentation
• your project does not support the skills directory convention
• you want a turnkey agent product rather than design guidance

Facets

learning-resource · maturity active

agent-framework prompt-engineering mcp developer-tools large-language-models developer-tools cli cross-platform agent-skills claude-code codex agentic-harness skill-package best-practices ai-agents automation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="DenisSergeevitch/agents-best-practices")