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claude-code-complete-agent/examples/01-agent-runtime/prompt.md
Kjell Tore Guttormsen 2491f5c732 feat: initial companion repo for OpenClaw vs Claude Code article 
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>
2026-03-26 09:47:29 +01:00

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Example 01: Agent Runtime

Capability: Claude Code executes tools autonomously, streams output as it works, and loops until the task is complete. No user input needed between steps.

OpenClaw equivalent: Long-running daemon with tool execution and streaming output.

The Prompt

Research the top 3 AI frameworks released this month, compare their GitHub stars,
and write a summary to research-output.md

For each framework include:
- Name and release date
- GitHub URL and current star count
- One sentence on what problem it solves
- Your verdict on whether it's worth watching

End the file with a "Verdict" section that ranks all three.

What Happens

Claude Code will:

  1. Use WebSearch to find AI framework releases from the current month
  2. Use WebFetch to retrieve GitHub pages and extract star counts
  3. Loop through each framework, gathering data tool call by tool call
  4. Use Write to create research-output.md with the structured summary
  5. Report completion with a summary of what was written

You will see each tool call streamed as it happens. Claude does not ask for confirmation between steps unless it hits something ambiguous.

Why This Matters

This is the agent loop in action: plan, execute, observe, repeat. The same loop that runs a 300-step pipeline also runs this 5-step research task. The difference is only scale.

Claude Code v2.1.84 added adaptive thinking, which adjusts reasoning depth automatically. Complex sub-tasks get more thought; simple ones proceed fast.