Product & Planning

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Product discovery orchestrator - routes to specialized frameworks for interviews, assumptions, JTBD, and prioritization.

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PRD structure and patterns for SpecFlux. Use when creating or refining product requirement documents. PRDs should be concise for humans but detailed enough for AI agents to implement.

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PRD-driven development workflow for feature implementation. Auto-activates on "PRD", "產品需求", "功能文檔", "規格書", "feature spec" keywords. Ensures all features have proper documentation before and after implementation.

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Interactive review of auto-generated Ralph artifacts. Use when user asks to "ralph review stories", "ralph review tasks", "ralph review roadmap", or needs to validate planning artifacts against their intent.

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Run long-running autonomous AI agents using PRD-based task scoping.

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Tracks and analyzes keyword ranking positions over time for both traditional search results and AI-generated responses. Monitors ranking changes, identifies trends, and alerts on significant movements.

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This skill supports three modes: Create, Update, and Find.

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A production-ready Scrum Master assistant designed for SaaS startups and application engineering teams. This skill provides intelligent sprint analytics, capacity planning, backlog prioritization, and

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MANDATORY specification writing skill. ONLY way to create/update specs. Auto-invoke when: - Creating specs: New projects, features ("I want to create XX") - Updating specs: Feature additions, requirement changes, architecture updates - Syncing specs: Major code changes (3+ files), refactoring, session end - Keywords: specifications/spec/design/architecture/requirements/PRD Outputs to .spec-manager/. Critical rules and workflow details in skill body.

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Systematic web development workflow from PRD to implementation plan. Generates database schemas, detailed use cases with sequence diagrams, page requirements with state management design (Context + useReducer), and modular implementation plans. Use when building web applications following spec-driven development methodology with PostgreSQL and React.

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SpecFlux REST API for creating and managing projects, PRDs, epics, tasks, and acceptance criteria. Use when running /prd, /epic, /task, or /implement commands to create or update entities in SpecFlux via HTTP API. Use when creating PRDs, epics with tasks, adding acceptance criteria, updating task status, or marking criteria as complete.

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Provides comprehensive guidance for Spring Cloud microservices including service discovery, configuration management, load balancing, circuit breakers, API gateways, and distributed tracing. Use when the user asks about Spring Cloud, needs to build microservices, implement service discovery, or work with Spring Cloud components.

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Generate structured task lists from specs or requirements. IMPORTANT: After completing ANY spec via ExitSpecMode, ALWAYS ask the user: "Would you like me to generate a task list for this spec?" Use when user confirms or explicitly requests task generation from a plan/spec/PRD.

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Manage the llm-do task tracker stored under tasks/ (backlog, active, completed, recurring) including creating new tasks, updating current state, moving tasks between stages, and applying the standard templates when planning or resuming work.

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Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.

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Write a clear, decision-ready PRD (and optionally a PR/FAQ, AI eval spec, and prompt set) for cross-functional alignment.

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Validate PRD quality and coherence before innovation phase using vibe-check MCP tool. Checks for requirement clarity, user story completeness, and identifies gaps. Returns coherent flag and issues list.

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Manages Fizzy boards, cards, steps, comments, and reactions. Use when user asks about boards, cards, tasks, backlog or anything Fizzy.

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Background knowledge about NodeBB, the modern open-source forum software built on Node.js with native ActivityPub federation (core feature since v4.0.0, January 2025). Covers the three actor types (Person user at /u/username, Group category at /category/<cid> implementing FEP-1b12 Group Federation with Announce relay pattern, Application instance actor), the two-level content hierarchy (category as audience → topic as context → post), how topics map to resolvable OrderedCollection contexts per FEP-7888 and posts are Note/Article objects, extensive FEP support (12 implemented: FEP-1b12 Group Federation, FEP-7888 context property, FEP-f228 Backfilling Conversations, FEP-4f05 Soft Deletion, FEP-9098 Custom emojis, FEP-b2b8 Long-form Text, FEP-fe34 Origin-based security, FEP-ae0c Relay Protocols, FEP-11dd Context Ownership, FEP-f15d Context Relocation, FEP-fb2a Actor metadata, FEP-0151 NodeInfo), the tech stack (Node.js/WebSocket/Socket.IO/ MongoDB or Redis or PostgreSQL, GPL-3.0), content discovery (follow- base

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Use when building agent-to-agent communication in .NET with the A2A (Agent-to-Agent) protocol. Covers agent cards, task lifecycle, streaming, push notifications, and multi-agent orchestration. USE FOR: agent-to-agent communication, multi-agent orchestration, agent discovery via agent cards, task-based messaging between AI agents, A2A protocol server and client implementation DO NOT USE FOR: Model Context Protocol tool serving (use mcp), direct LLM API calls (use microsoft-extensions-ai or azure-ai-inference), human-to-agent chat UIs, simple single-agent scenarios without inter-agent communication

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Use when installing or running the Inngest CLI and Dev Server for local development, local testing, serve endpoint debugging, Docker or Docker Compose setup, MCP configuration, self-hosted `inngest start`, or deployment workflow checks. Covers `inngest dev`, `inngest start`, auto-discovery, config files, environment variables, `@inngest/test`, local event sending, platform gotchas, and production/self-hosted server flags.

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Create a detailed feature plan for a {{engine_name}} project. Generates TASKS.md (dependency-ordered checklist with WHY context, effort estimates and file paths) and PLAN-BRIEF.md (technical context: constraints, interfaces, patterns — always created, based on current codebase state). Three modes: fast (no branch), full (optionally creates git branch), and add (modify existing plan). Use when starting a new feature, planning implementation, or when user says "plan feature", "create roadmap", "new feature plan". Also use when user says "add tasks to plan", "extend the plan", "add phase to plan".

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Decompose a task, plan, roadmap, or feature description into a structured set of requirements grouped for independent planning. Use when user says "make req", "make requirements", "decompose requirements", "extract requirements", or wants to break down a task into what needs to be true.

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Drafts implementation plan from ready PRD and research artifacts. Use when PRD and research gates pass and plan stage should start.

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Verify PRD completion against its success criteria

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This skill should be used when the user asks to "brainstorm a feature", "create a PRD", "write a solution design", "plan a new initiative", "start a new project", "ideate on a feature", "brainstorm and build", "go from idea to implementation", "generate a TDD pipeline", or when System 3/Guardian needs to drive the complete ideation → PRD → SD → worktree → autonomous TDD pipeline. Parent skill for CoBuilder orchestration-level workflows. For worker-level powers (TDD, debugging, verification), see the separate worker-superpowers skill.

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Master user research methodologies, customer interviews, persona development, and journey mapping. Understand customer problems deeply before building.

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想法群聊室主持人 — 把一句话想法丢给多角色 AI 团队（调研员/反方/类比者）做查漏补缺。每个角色有自己的 voice，他们互相 @ 接话；你随时插话。**这是创意扩展工具，不打分、不否决、不堵路**。Use when 用户说"组个团队聊一下"、"开会讨论这个想法"、"找几个角度看看"、"群聊一下 X"、"team review X"，或调用插件命令 `/idea-coach:idea-team`。Do NOT use when 用户已决定做这个想法只要 PRD（用 `idea-to-product`）、或用户要单独某个角色 skill、或用户只想自由 brainstorm（不需要 team 结构）。

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Add new stories to an existing prd.json without resetting completed story statuses. Use this to extend a project with new features.

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Create Product Requirements Document (PRD) and setup for Ralph autonomous loop. Use when user runs /create-prd command, wants to set up a project for Ralph, mentions "ralph setup", "create prd", "product requirements", or needs to generate tasks for autonomous development.

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Decline a request, push back on scope, or protect priorities without burning the relationship. Use when asked how to say no, turn down a request, push back on your boss/stakeholder, decline extra work, or protect the roadmap from a pet feature. Produces a graceful, firm response — the no, the honest why, an alternative or trade-off, and the exact wording, tuned to who's asking.

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Capture raw ideas as structured artifacts for backlog consideration.

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Decompose a plan, PRD, or spec into independently-grabbable vertical-slice issues (markdown file by default, GitHub issues via flag). Trigger when the user wants implementation tickets, work decomposition, or to convert an implementation plan into parallelizable work. Takes a plan file and emits atomic vertical slices.

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사용자의 기능 아이디어를 시니어 전문가 관점에서 검토하고 PRD를 작성합니다. 기획/API/비즈니스/개발 관점에서 일반 방법론과 비교하여 문제점과 트레이드오프를 분석합니다.

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Dispatches an expert reviewer agent to critique workflow artifacts. Use when a roadmap, implementation, or step needs quality review before proceeding.

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Explainability (XAI) audit for products containing AI components. Five-stage tier-scaled check: risk classification, stakeholder×question matrix, fidelity audit, system card, recourse path. Honest about what was validated functionally vs what needs user testing.