autonomous-agents · davila7 — Claude Code skill: what it does, how to install
Architectural guidance for building dependable autonomous AI agents. Helps structure ReAct loops, separate planning from execution, and enforce safety guardrails.
npx claude-code-templates@latest --skill ai-research/autonomous-agentsWhat autonomous-agents does
This skill provides blueprints for creating autonomous agents that break down targets and trigger tools. It covers the ReAct cycle where the model alternates thinking and acting, the Plan-Execute workflow, and reflection routines for validating intermediate output.
Compounding errors cause multi-step agents to break down. A 95% success rate on individual steps yields merely a 60% completion rate across 10 steps. Because of that steep drop, the guide mandates short execution chains and strict budget caps. Without context tracking and structured logs, autonomous agents quickly become expensive failures.
The material highlights critical anti-patterns, especially relying directly on model responses and attempting general-purpose autonomy. It advises applying the least privilege rule to external APIs and testing behavior against ground truth before deployment.
What it helps with
- Implement a ReAct loop combining deduction and tool calls
- Decouple agent planning from step-by-step tool execution
- Set up self-reflection routines to catch mistakes early
- Apply step boundaries and budget caps to avoid compounding failures
Example prompts for the agent
- Design a Plan-Execute workflow for an agent processing incoming customer tickets.
- Review this agent loop to add reflection checks and prevent compounding errors.
- Set up hard spending limits and API access guardrails for an autonomous task runner.
How to install autonomous-agents
1claude-code-templates
npx claude-code-templates@latest --skill ai-research/autonomous-agents2Skills CLI (Vercel)
npx skills add davila7/claude-code-templates --skill autonomous-agents -a claude-code3Manually: put the files in place
~/.claude/skills/autonomous-agents/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/autonomous-agents/
Manually: put the files in place
.agents/skills/autonomous-agents/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/autonomous-agents/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install davila7/claude-code-templates autonomous-agents2Manually: put the files in place
.github/skills/autonomous-agents/SKILL.mdPlatform CLI
gemini skills install https://github.com/davila7/claude-code-templates --path cli-tool/components/skills/ai-research/autonomous-agentsManually: put the files in place
.devin/skills/autonomous-agents/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about autonomous-agents
How do I install autonomous-agents in Claude Code?
Run npx claude-code-templates@latest --skill ai-research/autonomous-agents in your terminal.
What does the autonomous-agents skill do?
It offers architectural patterns such as ReAct, Plan-Execute, and reflection loops to construct reliable autonomous AI workflows.
Why does this skill enforce step limits on agents?
Step errors compound drastically over time: a 95% per-step success rate degrades to roughly 60% by step 10.
Similar skills
All skills for Agent setup: memory, context, orchestration →autonomous-agents by other authors comes first.
