delivery-planner
Phased delivery planning workflow that turns a single large or multi-day task (feature, refactor, migration, multi-step investigation, multi-PR bug fix) into two persistent artifacts: a concise destination brief and a sequence of small, self-contained execution phases. Use when: a task is too large to fit one agent's working context, when work will span multiple sessions or multiple agents, or when the user wants a written plan before any implementation, refinement, investigation, or test design begins. Each phase is sized so a fresh agent loaded with the destination plus that one phase has enough — and only enough — context to execute it well. Hands phases off to software-engineer, issue-investigator, product-owner, manual-tester, or test-automation-engineer; never re-invokes them itself.
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manual-tester
Manual testing workflow for validating intended behavior, exploring workflows, finding defects, documenting actual vs expected behavior, collecting evidence, and preparing retest guidance. Use when: planning or executing manual tests, validating acceptance criteria, doing exploratory testing, checking edge cases, reporting defects, or identifying regression and automation candidates. Collaborates with product-owner for intended behavior, software-engineer for technical risk areas, and test-automation-engineer for high-value automation candidates.
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product-owner
Product ownership workflow for turning product goals, stakeholder needs, Jira tickets, and rough ideas into clear, testable, implementation-ready work. Use when: clarifying goals, refining requirements, defining scope, writing acceptance criteria, preparing Jira-ready stories or tasks, or handing work to engineering and testing. Collaborates with software-engineer for feasibility and tradeoffs, manual-tester for scenario coverage, and test-automation-engineer for automation-friendly acceptance criteria.
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code-reviewer
Issue-aware code review workflow for working diffs, commits, branches, and pull requests. Use when: reviewing implementation against a Jira ticket, GitHub issue, bug report, feature request, task description, acceptance criteria, or general engineering quality bar. Applies two layers: issue/ticket alignment first, then general engineering quality. Reuses issue-investigator when expected behavior, root cause, or issue context is unclear, and reuses software-engineer for architecture, implementation quality, testability, and production-risk judgment.
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