Autonomous Agent Patterns
Skill AktivDesign patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
To provide developers with robust design patterns and implementations for creating sophisticated autonomous AI coding agents.
Funktionen
- Agent loop and architecture patterns
- Tool design with schema and execution
- Permission and safety system patterns
- Browser automation and visual agent patterns
- Context management and checkpointing strategies
Anwendungsfälle
- Building new autonomous AI agents
- Designing robust tool APIs for LLMs
- Implementing permission and security systems for agents
- Creating browser automation workflows for AI
Nicht-Ziele
- Providing a fully runnable agent out-of-the-box
- Specific LLM model integrations beyond conceptual examples
- Detailed deployment or scaling strategies
Praktiken
- Agent Design
- Safety
- Tool Design
- LLM Integration
Voraussetzungen
- Python 3.8+
- Access to an LLM API (conceptual)
Trust
- warning:Issues AttentionIn the last 90 days, 17 issues were opened and 4 were closed, indicating a closure rate of approximately 23.5%, which is below the preferred 50% threshold.
Installation
npx skills add davila7/claude-code-templatesFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
Vertrauenssignale
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