Automate software ticket lifecycle by coordinating worker and reviewer subagents.
npx skills add https://github.com/legout/pi-config --skill ralph-wiggum-legout
Please help me install this Agent Skill. Skill: ralph-wiggum Source: https://github.com/legout/pi-config/tree/main/skills/ralph-wiggum Command: npx skills add https://github.com/legout/pi-config --skill ralph-wiggum-legout
This skill eliminates the manual overhead of managing ticket implementation cycles by automating the handoff between coding tasks and quality assurance reviews.
Activate the ralph-wiggum skill to begin the automated ticket implementation loop for all ready tickets in the current repository.
High-intent search queries and answers about installing and using this skill.
Automated ticket implementation coordinates worker and reviewer subagents to manage ticket status transitions, code verification, and quality gate enforcement. It eliminates manual overhead by orchestrating a continuous loop of picking tickets, delegating implementation, and routing code for review.
Yes, subagents enforce quality assurance by running linting, type checking, and test execution before any review occurs. This ensures only high-quality code reaches the reviewer agent, maintaining strict quality guardrails throughout the automated workflow.
Intelligent escalation tracks review cycles and automatically escalates tickets to human intervention if they fail to pass after three attempts. This prevents infinite loops on blocked tasks by breaking the automated cycle and routing persistent failures to manual oversight.
Yes, automated ticket implementation requires integration with a ticket management CLI and subagent-capable AI infrastructure. These dependencies enable the system to pick ready tickets, manage status transitions, and coordinate worker and reviewer agents within the development environment.
Automated workflow manages ticket status transitions by coordinating worker and reviewer subagents throughout the implementation lifecycle. The system picks ready tickets, delegates coding tasks, routes code through quality gates, and updates statuses based on review outcomes.
When a ticket fails code review after three attempts, intelligent escalation automatically routes it to human intervention. This prevents the automated loop from endlessly retrying blocked tasks and ensures persistent failures receive manual attention.
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