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Error Handling

Checked
cloudai-x·vlatest·backend·MIT

This skill gracefully manages errors in your application, ensuring robust performance and a smoother user experience by proactively addressing potential issues.

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 cloudai-x/claude-workflow-v2 --skill error-handling -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

cloudai-x

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    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 cloudai-x/claude-workflow-v2 at 4c242af16f.

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

Commit
4c242af16f
Manifest
skills/error-handling/SKILL.md
Scanned
1 file, 451 lines
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

What it does

This skill enables AI agents to gracefully handle errors encountered during backend operations. It provides mechanisms for detecting, logging, and retrying failed tasks, ensuring resilience and preventing unexpected interruptions in workflows. The skill aims to improve overall system stability by proactively managing potential failure points.

When to use it

  • Automated data processing pipelines: When running scripts that transform or load large datasets, this skill can automatically retry failures due to temporary network issues or resource constraints.
  • API integrations with unreliable services: If your agent interacts with external APIs known for occasional downtime, the error handling capabilities will prevent workflow stalls.
  • Long-running backend tasks: For processes that take a significant amount of time (e.g., video encoding, large model training), this skill ensures failures are caught and addressed without manual intervention.
  • Complex orchestration workflows: When chaining multiple operations together, error handling provides a safety net to prevent cascading failures across the entire workflow.

Key capabilities

  • Error detection
  • Logging of errors with context
  • Automatic task retries
  • Workflow interruption prevention

Example prompts

  • "Handle any errors encountered while processing this file."
  • "Retry failed API calls up to 3 times before reporting an error."
  • “Log all exceptions and provide a summary of failures at the end of the process.”

Tips & gotchas

The skill requires appropriate permissions to retry tasks or interact with external services. Be mindful of potential infinite loops if retries are not configured correctly; set reasonable limits on retry attempts.