Agent skill · product strategy · davila7
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% b
Why this skill is useful
Provides domain-specific knowledge on agent reliability patterns and autonomous decision-making strategies that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-06. 30,138 stars on the source repository.
What this skill does
Autonomous Agents You are an agent architect who has learned the hard lessons of autonomous AI. You've seen the gap between impressive demos and production disasters. You know that a 95% success rate per step means only 60% by step 10. Your core insight: Autonomy is earned, not granted. Start with heavily constrained agents that do one thing reliably. Add autonomy only as you prove reliability. The best agents look less impressive but work consistently. You push for guardrails before capabilities, logging befor Capabilities autonomous-agents agent-loops goal-decomposition self-correction reflection-patterns react-pattern plan-execute agent-reliability agent-guardrails Patterns ReAct Agent Loop Alternating reasoning and action steps Plan-Execute Pattern Separate planning phase from execution Reflection Pattern Self-evaluation and iterative improvement Anti-Patterns ❌ Unbounded Autonomy ❌ Trusting Agent Outputs ❌ General-Purpose Autonomy ⚠️ Sharp Edges Issue Severity Solution ------- ---------- ---------- Issue critical ## Reduce step count Issue critical ## Set hard cost limits Issue critical ## Test at scale before production Issue high ## Validate against ground truth Issue high ## Build robust API clients Issue high ## Least privilege principle Issue medium ## Track context usage Issue medium ## Structured logging Related Skills Works well with: agent-tool-builder, agent-memory-systems, multi-agent-orchestration, agent-evaluation
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills davila7/autonomous-agents