agent-best-practices
Skills for designing effective AI agents, tools, prompts, and CLIs. Covers architecture patterns, context engineering, tool schema design, prompt engineering, CLI agent-DX, evaluation, and iterative improvement.
Plugin agent-best-practices from marketplace agentsbestpractices in tylergibbs1/agentsbestpractices. Commands read from the repo's manifest — 14 days ago.
What it installs
Skills (4)
building-agent-clisDesigns and builds CLIs optimized for AI agent consumption — machine-readable output, schema introspection, input hardening, context window discipline, and safety rails. Triggers on "CLI for agents," "agent CLI," "agent-first CLI," "make my CLI agent-friendly," "MCP server from CLI," "machine-readab
designing-agent-toolsDesigns, builds, and iteratively improves tools for AI agents — covering schema design, descriptions, response formatting, MCP servers, programmatic tool calling (PTC), progressive disclosure, evaluation, and evolving tools with model capabilities. Triggers on "build a tool," "write a tool," "MCP to
designing-agentsDesigns agentic AI systems by selecting the right architecture pattern and context engineering strategy. Triggers on "build an agent," "agent architecture," "agent design," "multi-agent," "agent pattern," "orchestration," "context engineering," "sub-agents," "agent workflow," "Ralph loop," "ReAct,"
prompting-agentsWrites and optimizes prompts for AI agents and agentic systems — system prompts, tool descriptions, thinking configuration, output formatting, and multi-window state management. Principles are model-agnostic; examples use current Claude models. Triggers on "write a system prompt," "agent prompt," "p
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