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Log Product Standards Issues

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phrazzld·vlatest·other

This skill logs product standard deviations and anomalies, providing valuable insights for quality control and identifying potential problems early on.

Repository

Install on your platform

This skill no longer installs under the name log-product-standards-issues. phrazzld/claude-config is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

phrazzld

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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scanned

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Not scanned. repository not found or private Source recorded as phrazzld/claude-config.
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About this skill

What it does

This skill allows AI agents to log issues related to product standards. It captures details like the standard violated, affected component, and severity level. The logged information can then be used for tracking, reporting, and ultimately improving adherence to established product quality benchmarks.

When to use it

  • When a QA engineer identifies a deviation from documented product standards during testing.
  • During code reviews when potential non-compliance with standards is detected.
  • As part of an automated process that flags instances where build outputs fail to meet defined criteria.
  • To create reports on the frequency and types of standard violations occurring within a project.

Key capabilities

  • Logs standard violations
  • Captures affected components
  • Records severity levels
  • Provides reporting functionality

Example prompts

  • "Log an issue: Standard 'XYZ-123' violated, component 'widget-core', severity 'high'."
  • "Create a new entry for a product standards violation."
  • "Record that the 'data-validation' standard was not met in the 'user profile' module; severity is 'medium'."

Tips & gotchas

This skill requires clear, consistent definitions of your product standards to ensure accurate logging and reporting. Without well-defined standards, the AI agent may struggle to correctly categorize issues.