Generate structured GitHub issue tickets for technical tasks with acceptance criteria.
npx skills add https://github.com/me2resh/apexyard --skill task-me2resh
Please help me install this Agent Skill. Skill: task Source: https://github.com/me2resh/apexyard/tree/main/.claude/skills/task Command: npx skills add https://github.com/me2resh/apexyard --skill task-me2resh
It prevents vague, inconsistent issue tickets for non-user-facing engineering work by forcing structured inputs (driver, scope, acceptance criteria, risks) into a consistent GitHub issue format.
Ask the AI to create a technical task ticket by calling /task and answering the driver, scope, acceptance criteria, priority, and any optional risks or dependencies.
High-intent search queries and answers about installing and using this skill.
Structured GitHub issues for technical debt require a driver, scope, and at least one acceptance criterion. This tool formats those inputs into a consistent ticket, applies priority labels, targets the correct repo, and requires explicit confirmation before creating the issue.
Writing acceptance criteria for SDLC infrastructure tasks means defining exactly what must be true upon completion. This tool enforces a stepwise input flow to capture the driver, scope, and actionable acceptance criteria, preventing vague submissions for non-user-facing engineering work.
Yes, you can automate priority labeling and repo targeting for non-feature work tickets. The tool derives a work-type title prefix, applies priority labels, and targets the correct repo based on the active project context during the ticket generation process.
Yes, this ticket generation tool works for dependency updates and CI/CD improvements. It specifically supports chores like infra changes, refactors, and other SDLC-gated tasks that do not map to standard feature or bug workflows.
The tool enforces a single-question flow for creating technical tickets to prevent bad submissions. By requiring a driver and at least one acceptance criterion step-by-step, it eliminates ambiguity and ensures all necessary context is captured before allowing issue creation.
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