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Autonomous Agents skill

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

$npx skills add davila7/claude-code-templates --skill autonomous-agents
GitHub stars
33,273
Pack installs
285k
Alyn Score
74/99
Updated
7 h ago
License
MIT

Install Autonomous Agents

Pick your agent. Every command is ready to paste.

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

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads autonomous-agents when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the autonomous-agents skill”. In Codex, type $autonomous-agents.

The skill itself

SKILL.md

GitHub

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

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

Tips for Autonomous Agents

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It is part of a pack with 40 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Autonomous Agents

What does the Autonomous Agents skill do?

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

How do I install Autonomous Agents?

Run "npx skills add davila7/claude-code-templates --skill autonomous-agents" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Autonomous Agents work in Cursor and Codex?

Yes. Autonomous Agents uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Autonomous Agents free?

Autonomous Agents is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Autonomous Agents?

Autonomous Agents is published by davila7 in the davila7/claude-code-templates repository, together with 39 other skills.

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