to-prd
무료Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.
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561건 · 관련도순
Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.
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Interactive Product Owner skill for requirements gathering, analysis, and PRD generation. Triggers when users request product requirements, feature specification, PRD creation, or need help understanding and documenting project requirements. Uses quality scoring and iterative dialogue to ensure comprehensive requirements before generating professional PRD documents.
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Write strategy-oriented Product Requirements Documents (PRDs) for AI product managers. Use when: (1) drafting a new PRD or strategy doc, (2) structuring a feature proposal with strategy rationale, (3) writing requirement docs that emphasize "why" over "how", (4) turning raw product ideas into structured requirement documents. NOT for: purely technical specs, engineering tickets, or UI copy.
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This skill should be used when the user asks to "plan a feature", "create PRD", "interview me about requirements", "define stories", "write a spec", "break down feature into tasks", "create implementation plan", "help me scope this feature", "what questions should I answer", or discusses feature planning. Covers the PRD interview process, spec structure, story atomization, and 4-phase workflow from idea to Dex tasks.
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모호한 기능 요청이나 영향이 큰 변경의 범위·전제·위험을 정리합니다. 기대 동작과 검증 방법을 명시한 인수 기준이나 인계 자료로 만듭니다.
모호한 아이디어를 목표, 작업 범위, 검증 가능한 완료 조건이 담긴 명세로 정리합니다. 기능과 의존 관계를 나누고 사람의 승인을 거쳐 계획, 작업 분할, 구현으로 진행합니다.
Turn feature requirements and technical plans into a structured GitHub project plan. Break work into linked issues, define acceptance criteria, dependencies, priorities, and estimates, and outline board settings and automated progress tracking.
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Break a development task into small requirements with explicit acceptance criteria, then repeat implementation and verification while saving progress. Completion depends on evidence for each requirement and reviewer approval, with configurable reviewers and a final cleanup check.
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Coordinates specialist agents in Claude Code to work from product requirements through design, implementation, testing, deployment, and operations. Includes task queues, saved progress, parallel reviews, and recovery workflows for managing extended development work.
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Route product questions to a specialist for prioritization, research, analytics, experiments, or implementation. Support recurring discovery by tracking interviews and assumption tests, checking how customer needs connect to proposed solutions, and returning results with a concise digest.
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Convert a Notion specification into a linked implementation plan and manageable tasks. Extract requirements and acceptance criteria, record uncertainties, and keep task statuses, checklists, blockers, and milestone updates aligned as the work progresses.
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Review a product plan by imagining a failed launch and tracing possible causes. Separate real risks, overblown concerns, and unspoken worries, then define mitigation actions, owners, and deadlines for issues that must be resolved before launch.
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Review a product requirements document, roadmap, or strategy by challenging the assumptions it depends on. Rank potential failures by impact, likelihood, and testing cost, then propose small tests, evidence to gather, and criteria for stopping or changing course.
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Examine feature ideas for existing products to uncover risky assumptions about customer value, usability, business support, and technical feasibility. Consider product, design, and engineering perspectives, then record potential failures, confidence levels, and suggested ways to test each assumption.
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Convert a Notion specification into a linked implementation plan and manageable tasks. Extract requirements and acceptance criteria, record uncertainties, and keep task statuses, checklists, blockers, and milestone updates aligned as the work progresses.
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Turn a feature idea into a specification through structured questions about users, business goals, and technical constraints. Produce requirements, user stories, testable acceptance criteria, and an implementation checklist, including performance, security, and error handling.
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Prepare an internal Privacy Impact Assessment, a review of how a feature uses personal data. Check whether assessment is needed, examine legal grounds and policy commitments, and document specific risks, required actions, and owners in the team’s format.
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Turn Notion product requirements and feature specifications into linked implementation plans and manageable tasks. Extract requirements, flag ambiguities, and keep task status, milestones, blockers, and decisions aligned as work progresses.
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Turn a design problem into an RFC, a proposal for review and discussion. Define who benefits and what changes, compare real alternatives, document drawbacks and open questions, and save a linked, validated draft.
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Turn an accepted feature proposal into an implementation specification grounded in existing code. Define scope, explain design decisions, track unresolved questions, and document migration steps and tests, with implementation tasks added when the work is approved for building.
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Review APM positioning, public documentation, release communication, and breaking-change decisions using GitHub evidence. Check that incompatible changes include changelog entries and migration notes, and resolve disagreements among the project's specialist reviewers.
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Read-only PRD-to-work-item hierarchy planning. Use to turn a PRD into a validated Azure DevOps, GitHub, or Jira handoff.
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Performance, load, and reliability (SLO/SRE) planning for production readiness. Use when defining service level objectives, load characterization, capacity, latency budgets, stress/soak/spike test plans, false-positive baselines, and reliability targets. USE FOR: SLO/SLA definition, load testing plan, performance budget, capacity planning, reliability/SRE backlog, latency targets, error-budget policy. DO NOT USE FOR: executing load tests (use Azure Load Testing tooling), security threat modeling, RAI assessment, privacy/compliance planning, or authoring/restating PRD requirements (cite the PRD's existing NFR/FR ids instead).
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Extract and risk-rate hidden assumptions in a product brief or PRD. Use when asked to review a product brief for assumptions, audit a PRD for risks, find hidden assumptions, validate product plans, or run an assumption analysis. Produces a prioritised assumption map with confidence and impact scores, recommended validation methods, and critical assumption flags.
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