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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Generate improvement ideas for an existing product from product management, design, and engineering perspectives. Produce five ideas per perspective, then select the top five based on goals, potential impact, feasibility, and differentiation, with reasons and assumptions to test.
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Draft three alternative sets of team OKRs, pairing a qualitative goal with three measurable results. Use company strategy and team context to propose numerical targets, explain each option, and support discussions about quarterly priorities and customer or business outcomes.
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Estimate a product’s total, serviceable, and realistically obtainable markets using industry data and customer-level calculations. Produce market estimates, growth projections, source references, and explicit assumptions to support investment pitches or market entry decisions.
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Identify untested assumptions behind a new product idea across eight areas, including customer value, usability, business viability, technology, ethics, market launch, strategy, and team. Rate confidence in each assumption and suggest a test, producing a Markdown analysis.
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Turn a new feature into user stories: short descriptions of what people need and why. Each story includes a design reference and testable acceptance criteria, with scope intended to fit within one sprint.
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Review code changes or a repository for actionable bugs by tracing how components interact. Findings explain reachable triggers, incorrect behavior, consequences, and checked counterarguments. Correctness is the default focus; performance and security can also be selected.
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Create a concise sales reference comparing your product with a specific competitor. Organize product and pricing differences, strengths on both sides, responses to common objections, and win/loss patterns into a Markdown document for use during sales conversations.
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Use customer research, surveys, and usage data to define an ideal customer profile: the customers most likely to gain value, stay, and expand. Summarize their characteristics, buying behavior, goals, needs, and fit criteria to guide sales and marketing priorities.
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Generate five marketing ideas for a product and its target audience, with limited budgets and resources in mind. Each idea includes a channel, a core message, an explanation of audience appeal, and reasons it uses resources efficiently.
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Analyze reviews, surveys, and other user feedback by user group. Summarize satisfaction scores, recurring complaints, positive themes, and the goals users want to achieve, then recommend product improvements based on frequency, severity, and business impact.
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Generate five product name ideas based on brand values, target customers, and market positioning. Each suggestion includes its rationale, fit with the existing brand, memorability, and potential domain or trademark concerns.
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Compare seven customer acquisition approaches against your product, audience, budget, and team. Get fit scores, a prioritized mix of channels, suggested tools, and a 90-day execution plan covering resources, milestones, and success metrics.
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Turn survey responses, interviews, and other research data into three distinct user personas. Each profile explains the outcome users seek, their main difficulties, desired benefits, an unexpected behavioral insight, and how well the product meets their needs.
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Organize customer feature requests into themes and rank the top three against product goals, customer value, effort, and risk. For each recommendation, explain the underlying need, possible alternatives, uncertain assumptions, and simple ways to test them.
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Plan low-effort experiments to check assumptions about an existing product before building a feature. Compare prototypes, A/B tests, and other methods, with a clear assumption, procedure, metric, and success threshold for each experiment.
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Compare nine methods for setting priorities, including RICE and ICE, which score ideas using factors such as impact and confidence. Use formulas, selection guidance, and linked templates to choose an approach for customer problems, initiatives, or requirements.
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Choose the first customer segment for a product launch by comparing urgent needs, willingness to pay, achievable market share, and referral potential. Get scored recommendations, a priority segment, a 90-day acquisition plan, and expansion options.
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Build an Opportunity Solution Tree, a structured map linking one measurable product outcome to customer needs, possible solutions, and experiments. Use research findings to prioritize problems and define hypotheses, metrics, and success thresholds for testing ideas.
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Design a product metrics dashboard with clearly defined measures, data sources, charts, targets, and alert thresholds. The skill produces a Markdown specification that also covers dashboard layout, review schedules, and responsibilities for responding to alerts.
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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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Initialize a PM Brain — a markdown-native second brain for a product operator (PM, product lead, founder, or anyone accountable for one product or initiative) doing judgment-heavy work with scattered inputs. Detects greenfield vs. migration mode, runs a focused interview, copies the deterministic scaffold into the working directory, populates placeholders from interview answers, runs a self-test, and commits. Use when invoked via `/pm-brain` or when the user asks to set up a PM Brain.
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Review a Python solution against a markdown spec, run it, and report bugs.
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Use whenever you state a fact. End the answer with a short Sources list mapping each claim to a file, URL, or reasoning. Shared across agents.
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