40 files demonstrating every major OpenClaw capability using Claude Code: - 3 agents (researcher, writer, reviewer) - 3 skills (daily-briefing, slack-message, web-research) - 2 security hooks (pre-tool-use blocker, post-tool-use logger) - 10 self-contained examples with copy-paste prompts - Complete feature map (20 capabilities, 11 full match, 7 different, 2 gap) - Security docs including NemoClaw comparison - Automation, messaging, browser, memory documentation Zero dependencies. Clone and run. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
57 lines
1.9 KiB
Markdown
57 lines
1.9 KiB
Markdown
# Example 06: Multi-Agent Orchestration
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**Capability:** Claude Code can spawn sub-agents with distinct roles, run them in
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parallel or in sequence, and combine their outputs into a final result.
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**OpenClaw equivalent:** Sub-agents, agent-to-agent messaging, mesh workflows.
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---
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## Prerequisites
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This example uses the agents defined in `.claude/agents/`:
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- `researcher.md` - web research and source gathering
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- `writer.md` - structured content drafting
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- `reviewer.md` - accuracy and quality review
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These agents load automatically when Claude Code opens this project.
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---
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## The Prompt
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```
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Use the researcher agent to find information about how Claude Code handles
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agent isolation and worktree sandboxing (introduced in v2.1.49 and v2.1.50).
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Then use the writer agent to draft a 300-word technical summary of the findings,
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written for a developer audience. No jargon without explanation.
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Finally, use the reviewer agent to check the draft for technical accuracy.
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If the reviewer finds any issues, have the writer fix them before showing
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me the final version.
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```
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---
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## What Happens
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Claude Code will:
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1. Invoke the researcher agent via the Agent tool with the research task
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2. Receive the research output and pass it to the writer agent
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3. Invoke the writer agent to produce the 300-word draft
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4. Invoke the reviewer agent with both the draft and source material
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5. If the reviewer flags issues, loop back to the writer for a revision
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6. Present the final reviewed draft
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---
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## Why This Matters
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Agent Teams (v2.1.32) gives Claude Code a mesh model that matches OpenClaw's
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sub-agent architecture. Worktree isolation (v2.1.50) means each agent gets
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its own working directory, preventing file conflicts in parallel runs.
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The researcher-writer-reviewer pattern is the same loop that produces articles
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for `fromaitochitta.com`. The agents here are minimal versions of that pipeline.
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