claude-code-agent-sdkClaude Agent SDK documentation — build production AI agents with Claude Code as a library in Python or TypeScript. Use when building, configuring, or debuggi...
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Generated Jul 24, 2026
A development team uses the SDK to build an agent that automatically reads bug reports, locates the faulty code, applies fixes, and runs tests. This reduces manual debugging time and accelerates release cycles.
A team configures a reviewer sub-agent that analyzes pull requests for code quality, security issues, and style violations. The sub-agent runs in parallel, providing feedback before human approval.
An operations team integrates MCP servers to give the agent control over cloud infrastructure (e.g., AWS CLI, Playwright for dashboards). The agent automates deployment checks and rollback scripts.
Using streaming output and structured schemas, a company builds an agent that guides new developers through setup, configuration, and first code commit. The agent asks clarifying questions and forks sessions for different tasks.
An agent integrated into a CI/CD pipeline tracks token usage and cost, using hooks to optimize prompts and break large tasks into sub-agents for parallel execution, reducing overall API spend.
Offer a hosted agent service where customers pay per query or subscription. The SDK's cost tracking and observability enable transparent billing and usage monitoring.
Sell licenses to enterprises that embed the SDK into their internal development tools (e.g., CI/CD, code review). MCP support allows connecting to existing systems, charging per seat or integration.
Package the SDK with custom skills and slash commands into a productivity suite for developers. Revenue comes from marketplace sales or in-tool purchases of premium sub-agents.
💬 Integration Tip
Start with the quickstart example to set up a basic agent loop, then gradually add hooks, custom tools, and MCP servers using the topic-specific reference files.
Scored May 29, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.