error-report-sdlc

To automate GitHub issue creation for SDLC errors, this skill captures full context from script crashes, persistent API errors, or build failures after retries and drafts a reproducible issue using the gh CLI. It applies appropriate labels and files the issue automatically.

Standardizing error reporting for internal tooling involves using a structured template like ToolingError.md to capture consistent fields such as skill, step, operation, timestamp, error details, and environment. This ensures full context is preserved for efficient triage and remediation.

Yes, you need the GitHub CLI installed. The skill verifies that the gh CLI is available before assembling metadata, applying labels, and creating the issue in the designated GitHub repository to ensure automated error reporting succeeds.

Template-based error triage for actionable SDLC errors works by assembling captured context into a standardized ToolingError.md template. This ensures consistent fields like operation, timestamp, and environment are recorded, enabling efficient and reproducible issue remediation.

You can integrate this automated error reporting skill into existing SDLC automation workflows by invoking it from an error handler. After an actionable error occurs, it drafts and files the GitHub issue, then returns control directly to the calling skill.

Actionable SDLC errors for automated GitHub issue creation include script crashes, CLI failures, persistent API errors, and build failures that persist after retries. These errors trigger the skill to capture full context and generate a reproducible issue.