Product & Planning

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Conduct an AI-led requirements elicitation interview with a stakeholder. Uses LLMREI research-backed patterns for effective requirement capture. Use when this capability is needed.

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Use when asked to "working backwards", "PR/FAQ", "Amazon PR/FAQ", "write a press release", "define a new product", or "write a customer-focused PRD". Helps define products by starting with the customer problem and desired outcome before building. The Working Backwards process (developed at Amazon) forces clarity on customer value before committing engineering resources.

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ElevenLabs voice agent creation for client discovery and feedback calls. Use this skill when creating AI voice agents, setting up discovery call agents, or configuring automated phone conversations. Triggers on voice agent creation, ElevenLabs agent setup, or automated call agent requests. Use when this capability is needed.

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Strategic product leadership toolkit for Head of Product covering OKR cascade generation, quarterly planning, competitive landscape analysis, product vision documents, and team scaling proposals. Use when creating quarterly OKR documents, defining product goals or KPIs, building product roadmaps, running competitive analysis, drafting team structure or hiring plans, aligning product strategy across engineering and design, or generating cascaded goal hierarchies from company to team level. Use when this capability is needed.

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Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank. Use when this capability is needed.

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Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks. Use when this capability is needed.

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Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology. Use when this capability is needed.

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Strategic product leadership toolkit for Head of Product including OKR cascade generation, market analysis, vision setting, and team scaling. Use for strategic planning, goal alignment, competitive analysis, and organizational design. Use when this capability is needed.

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Run structured discovery calls using SPIN, Sandler, or Challenger frameworks with tailored question sets and call guides. Use this skill whenever a rep needs help preparing discovery questions, is about to do a first call with a new prospect, wants a discovery call template, says "what questions should I ask", "help me prepare for a discovery call", "I need a call guide", or is working on improving their discovery process. Also trigger when someone mentions SPIN selling, Sandler, Challenger, or gap selling in a sales context. Use when this capability is needed.

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World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions. Use when this capability is needed.

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Use when creating, editing, or reviewing skills. Covers discovery optimization, structure patterns, testing approaches, and format decisions.

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Guides comprehensive requirements gathering and analysis including stakeholder interviews, user story creation, use case documentation, acceptance criteria, requirements prioritization, and traceability. Produces requirements documents, user stories, use cases, and development roadmaps. Use when gathering requirements, writing user stories, creating acceptance criteria, analyzing stakeholder needs, prioritizing features, or when users mention requirements analysis, business analysis, user stories, use cases, or requirements documentation. Use when this capability is needed.

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Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery. Use when this capability is needed.

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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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Bridge between marketing campaigns and field-ready sales materials — translate launches, campaigns, and messaging into talk tracks, email templates, and discovery angles that reps can actually use. Use this skill whenever marketing launches a campaign and sales needs to know how to leverage it, when there's a product launch and reps need positioning materials, when a rep says "marketing just launched X — how do I use this?", "what's the messaging for [campaign]?", or when aligning sales and marketing on go-to-market motions. Also trigger when someone mentions sales-marketing alignment, campaign enablement, field readiness, or launch readiness. Use when this capability is needed.

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AI and technology ethics review including ethical impact assessment, stakeholder analysis, and responsible innovation frameworks Use when this capability is needed.

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Run E2E tests to verify complete user workflows like environment discovery, creation, and selection. Use this before releases or after major changes. Use when this capability is needed.

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This skill should be used when the user asks to "create a PRD", "write requirements", "document a feature", "generate product spec", "define requirements", "write feature specifications", or when creating PRD documents from gathered requirements. Use when this capability is needed.

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Create an AI Product Strategy Pack (thesis, use cases, system plan, eval plan, roadmap). Use when this capability is needed.

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Produce an Engineering Culture Operating System Pack (culture code, DevEx backlog, workflow contract). Use when this capability is needed.

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Facilitate AI-assisted brainstorming sessions for requirements discovery. Uses divergent-convergent thinking patterns to generate ideas, then filters and refines them. Supports multiple brainstorming techniques. Use when this capability is needed.

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Kubernetes fundamentals workflow for workload deployment, service discovery, and baseline cluster primitives. Use when teams need concrete namespace/workload/service/probe decisions before deployment; do not use for API contract design or requirement prioritization. Use when this capability is needed.

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Founder-PM toolkit for discovery, roadmaps, prioritization, and PMF measurement. Use when planning product strategy, metrics, or roadmaps. Use when this capability is needed.

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Expert in automated QA testing, E2E test automation, visual regression testing, and intelligent test generation. Use when building automated test suites, validating user workflows, testing external integrations, setting up test infrastructure, or implementing AI-powered test discovery. Use when this capability is needed.

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Implement UI E2E tests sequentially using Playwright MCP, stop on bug discovery. Use after e2e-ui-research to implement the planned test scenarios. Use when this capability is needed.

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Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML. Use when this capability is needed.

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Generates comprehensive Product Requirements Document from product plan. Creates PRD.md with features, user stories, acceptance criteria, and success metrics. Use when creating product requirements.

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PM skill for Claude Code, Codex, Cursor, and Windsurf. Diagnoses SaaS metrics, critiques PRDs, plans roadmaps, runs discovery, coaches PM career transitions, pressure-tests AI product decisions, and designs PLG growth strategies. Seven knowledge domains, 12 templates, 40+ frameworks, and an opinionated interaction style that labels assumptions and names tradeoffs. Use when this capability is needed.

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Context management skill providing discovery, fetching, harvesting, extraction, compression, organization, cleanup, and guided workflows for project context Use when this capability is needed.

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Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritizati... Use when this capability is needed.

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Navigate the n8n-mcp server's 40+ tools for node discovery, configuration validation, template access, and workflow management. Covers tool selection strategy, parameter formatting, and integration patterns. Consult when building workflows programmatically via MCP. Use when this capability is needed.

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World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions. Use when this capability is needed.

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Essential tools and frameworks for modern product management, from discovery to delivery. Use when this capability is needed.

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Microservices architecture patterns including service discovery, circuit breakers, event-driven architecture, API gateways, and distributed systems. Use when designing microservices, implementing inter-service communication, or managing distributed systems. Use when this capability is needed.

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Aide à planifier des sprints agile, organiser le backlog, estimer les stories et gérer la capacité de l'équipe. Se déclenche avec "sprint", "sprint planning", "backlog", "vélocité", "agile", "scrum". Use when this capability is needed.

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Domain knowledge for the Evolution Engine — LLM-powered autonomous strategy discovery from raw OHLCV data. Covers the generate-backtest-select-evolve loop, vectorized backtesting, out-of-sample validation, and strategy graduation. Use when discovering trading patterns, running backtests, evolving strategies, or reviewing evolution logs. Triggers on "evolve", "discover patterns", "backtest", "evolution", "strategy generation", "candidate strategy". Use when this capability is needed.