Verify acceptance criteria and assess code quality in two phases.
npx skills add https://github.com/davidabeyer/formaltask --skill reviewing-epics
Please help me install this Agent Skill. Skill: reviewing-epics Source: https://github.com/davidabeyer/formaltask/tree/main/skills/reviewing-epics Command: npx skills add https://github.com/davidabeyer/formaltask --skill reviewing-epics
This Skill streamlines the process of reviewing completed epics, ensuring both functional correctness (acceptance criteria) and code quality before merging. It prevents wasted effort by prioritizing AC verification.
/epic-review <epic-name> to get a comprehensive audit, ensuring it meets all requirements and quality standards.Run the reviewing-epics skill to audit the epic named 'user-authentication'.
High-intent search queries and answers about installing and using this skill.
An automated epic review assesses code quality by dynamically selecting specialist review agents based on task metadata. It synthesizes their multi-agent findings into a structured report, ensuring the epic meets quality standards before merging.
Automating code quality assurance for epics is best handled through a multi-agent review system that dynamically selects reviewers based on task metadata. This approach generates a comprehensive audit report detailing findings and verdicts after acceptance criteria are verified.
Yes, a phased epic review prioritizes acceptance criteria verification before executing a multi-agent quality assessment. This prevents wasted effort by ensuring functional correctness before evaluating deeper code quality standards.
Automated agent selection for code reviews works by dynamically choosing core and specialist reviewers based on the specific epic requirements and task metadata. This ensures the multi-agent quality assessment is tailored to the unique needs of the software development epic.
Yes, you can use a multi-agent review to audit software development epics before merging. This approach ensures both functional correctness and code quality are met by synthesizing findings from dynamically selected agents into a clear verdict.
You should run an automated epic review immediately after a developer marks an epic as complete. This ensures a comprehensive audit verifies all acceptance criteria and quality standards are met before the code is merged.
michelveVerify task completion against acceptance criteria for software development workflows.
thbraetAnalyze merge request diffs against main and produce structured review reports.
zizzfizzixAutomate code review for architectural, security, and quality compliance.
Progery222Coordinate multi-agent reviews on GitHub pull requests for security, performance, style, and architecture.