Autonomous Agents
sickn33/antigravity-awesome-skillsAutonomous agents are AI systems that can think and act on their own. They break down big goals into smaller steps, choose tools, and fix mistakes without human help. The real challenge is making them reliable. Every extra decision adds a chance of failure.
This skill teaches how to build agent loops like ReAct and Plan-Execute. You will learn about goal decomposition, reflection patterns, and production reliability. A 95% success rate per step drops to 60% by the tenth step. Building for reliability first is key.
The best agents are domain-specific with clear boundaries. Treat AI outputs as proposals, not truth. Use guardrails and human oversight for critical decisions. This skill covers tools like LangGraph and patterns that keep agents safe and useful.
Add Autonomous Agents skill to your workflow
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mkdir -p ~/.claude/skills/autonomous-agentsProject
mkdir -p .claude/skills/autonomous-agentsSource Repository
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