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Firecrawl Debug Bundle

Listed
jeremylongshore·vlatest·testing·MIT

Generates comprehensive debug bundles including logs, metrics, and traces to pinpoint performance bottlenecks in firecrawl deployments.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-debug-bundle -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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Automated safety checks

scanned

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Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

The firecrawl-debug-bundle skill provides debugging capabilities for AI agents, specifically focused on interacting with and inspecting Firecrawl environments. It allows you to step through code execution within a Firecrawl context, examine variable states, and identify the root cause of issues in automated tasks or agent workflows. This skill streamlines troubleshooting and improves the reliability of AI agent deployments.

When to use it

  • Debugging failing automation: When an AI agent's automated task fails unexpectedly in a Firecrawl environment, this skill helps pinpoint the exact step causing the problem.
  • Understanding complex agent behavior: If you need to understand why an agent is making certain decisions or taking specific actions within a Firecrawl simulation.
  • Validating code changes: After modifying an AI agent's code, use this skill to verify that the changes behave as expected in a Firecrawl environment.
  • Reproducing edge cases: When encountering rare or difficult-to-reproduce issues, this skill can help isolate and debug them within a controlled Firecrawl setting.

Key capabilities

  • Step-through execution within Firecrawl environments
  • Variable state inspection during debugging
  • Root cause analysis of agent failures
  • Debugging automated tasks

Example prompts

  • "Debug the last 5 steps of my agent's run in Firecrawl."
  • "Show me the value of current_location at step 12."
  • "Step through this function and pause before each line."

Tips & gotchas

This skill requires a running Firecrawl environment to be effective. Ensure that your AI agent is properly configured to interact with Firecrawl for debugging to work correctly.