This covers the architecture and reliability patterns for building AI agents that can act independently: ReAct loops, plan-execute separation, goal decomposition, and reflection patterns. The emphasis is ruthlessly practical. It pushes you to start with constrained, single-purpose agents and earn autonomy through proven reliability rather than building general-purpose systems that fail unpredictably. The sharp edges table is particularly useful, calling out the compounding error problem directly: 95% success per step becomes 60% by step ten. You'd reach for this when you need to move beyond simple LLM calls into multi-step autonomous behavior, but want to avoid the common trap of demos that impress but never make it to production.

skills.sh installs
492
GitHub stars
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last updated
Aug 21, 2026

Install

$ npx -y skills add davila7/claude-code-templates --skill autonomous-agents --agent claude-code

Installs into .claude/skills of the current project.

Files

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

Sponsors

Details

Repository
github.com/davila7/claude-code-templates
Categories
Frontend Development, AI & Agent Building, Debugging, Productivity & Planning
First seen
Jun 3, 2026

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