Install Autonomous Agents
Pick your agent. Every command is ready to paste.
npx skills add davila7/claude-code-templates --skill autonomous-agentsThe 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
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
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.




