Skip to content
TrustedSkillsbeta
Back to all skills

Distributed Debugging Debug Trace

Listed
sickn33·vlatest·testing·MIT

Trace execution across distributed systems to pinpoint errors and performance bottlenecks during testing.

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 sickn33/agentic-awesome-skills --skill distributed-debugging-debug-trace -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

sickn33

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sickn33/antigravity-awesome-skills at 5a4cdd9df8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
5a4cdd9df8
Manifest
skills/distributed-debugging-debug-trace/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

distributed-debugging-debug-trace

What it does

This skill enables AI agents to execute distributed debugging sessions by generating and managing trace data across multiple services. It specifically handles the coordination required to correlate events in a microservices architecture, allowing for deep inspection of system behavior over time.

When to use it

  • Investigating latency spikes that appear to originate from interactions between several backend services.
  • Tracing the flow of a specific request through a complex event-driven system to identify bottlenecks.
  • Debugging race conditions or timing issues that are difficult to reproduce in isolated unit tests.
  • Analyzing error logs scattered across different nodes to reconstruct a complete failure timeline.

Key capabilities

  • Initiates distributed debugging sessions automatically.
  • Generates comprehensive trace data for analysis.
  • Coordinates tracing activities across multiple distinct services.
  • Correlates events to provide a unified view of system execution.

Example prompts

  • "Start a distributed debug session for the payment processing pipeline and show me the full trace."
  • "Trace the request ID abc-123 through our microservices cluster to find where the timeout occurred."
  • "Run a distributed debug trace on the user authentication service and highlight any latency anomalies."

Tips & gotchas

Ensure your infrastructure supports distributed tracing protocols (like OpenTelemetry) before relying on this skill, as it depends on existing telemetry data. For best results, provide specific request IDs or time ranges to narrow the scope of the generated traces.