Autonomous Agents
Most agent tutorials chase autonomy. This one starts with the math that kills agents in production: 95% reliability per step means 60% by step ten. You get ReAct and Plan-Execute patterns with LangGraph implementations, reflection loops for self-correction, and the architectural guardrails that matter (checkpointing, human-in-loop interrupts, rollback strategies). The core insight is right: constrain scope aggressively, treat every output as a proposal, and log everything for auditability. If you're building agents that need to actually work beyond demos, the emphasis on reliability over capability and domain-specific constraints over general-purpose autonomy will save you months of debugging compounding failures.
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- Jul 14, 2026
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$ npx -y skills add sickn33/antigravity-awesome-skills --skill autonomous-agents --agent claude-codeInstalls into .claude/skills of the current project.
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Autonomous Agents
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.
This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% by step 10 under an independent, constant per-step success assumption. Build for reliability first, autonomy second.
2025 lesson: The winners are constrained, domain-specific agents with clear boundaries, not "autonomous everything." Treat AI outputs as proposals, not truth.
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
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- github.com/sickn33/antigravity-awesome-skills
- First seen
- Apr 16, 2026
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