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autonomous-agents

autonomous-agents

github.com/davila7Agent workflows33.0k489 installsUpdated 1d ago
Repository

About autonomous-agents

A skill for designing more reliable autonomous AI agents. It emphasizes guardrails, limited scope, cost and step controls, and patterns such as ReAct, plan-execute, and reflection.

Key features

  1. 01ReAct agent-loop pattern
  2. 02Plan-execute pattern
  3. 03Reflection and self-correction
  4. 04Guardrails and bounded autonomy
  5. 05Reliability and cost controls

Use cases

  1. 01Designing an agent loop
  2. 02Decomposing goals into steps
  3. 03Adding limits before production
  4. 04Evaluating agent outputs against ground truth

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/davila7/claude-code-templates --skill autonomous-agents

After installing, type/autonomous-agentsin Claude Code to confirm it loaded.

Details

From the project README

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

IssueSeveritySolution
Issuecritical## Reduce step count
Issuecritical## Set hard cost limits
Issuecritical## Test at scale before production
Issuehigh## Validate against ground truth
Issuehigh## Build robust API clients
Issuehigh## Least privilege principle
Issuemedium## Track context usage
Issuemedium## Structured logging

Related Skills

Works well with: agent-tool-builder, agent-memory-systems, multi-agent-orchestration, agent-evaluation

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