Skills tagged market-analysis: 31 agent skills for Claude Code

• analyze-feature-requests — Analyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk.
• ansoff-matrix — Generate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification.
• beachhead-segment — Identify the first beachhead market segment for a product launch.
• benchmark-due-diligence — Runs adversarial due-diligence on a benchmark the user envies — a founder, KOL, company.
• brainstorm-ideas-new — Brainstorm feature ideas for a new product in initial discovery from PM, Designer, and Engineer perspectives.
• business-model — Generate a Business Model Canvas with all 9 building blocks.
• competitor-analysis — Analyze competitors with strengths, weaknesses, and differentiation opportunities. Identifies direct competitors and maps the competitive landscape.
• competitors-analysis — Discover, clone, update, and analyze competitor repositories with evidence-based competitive intelligence.
• daymade-sector-research — A股行业投研工作流：全板块 Top N 涨幅标的计算、公告窗口检索（周/月）、市场情绪证据分级判断，并以 Agent Team 并行执行 + fresh-context 对抗验证。 触发场景（命中任一即读本 skill）： - 「XX 行业 Top N / Top 10 标的」（如「医药行业今天的 Top 10.
• ideal-customer-profile — Identify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs.
• identify-assumptions-existing — Identify risky assumptions for a feature idea in an existing product across Value, Usability, Viability, and Feasibility.
• identify-assumptions-new — Identify risky assumptions for a new product idea across 8 risk categories including Go-to-Market, Strategy, and Team.
• interview-script — Create a structured customer interview script with JTBD probing questions, warm-up, core exploration, and wrap-up sections.
• lean-canvas — Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue.
• market-segments — Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis.
• market-sizing — Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches.
• monetization-strategy — Brainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments.
• opportunity-solution-tree — Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments.
• pestle-analysis — Perform a PESTLE analysis covering Political, Economic, Social, Technological, Legal, and Environmental factors.
• pharma-daily-report — 生成 A 股医药行业日报：从新浪财经抓取 20 只核心医药股实时行情，分析 7 大细分赛道排名、涨跌榜 TOP 3、资金流向，然后通过飞书发送富文本日报。 覆盖恒瑞医药、百济神州、智飞生物、药明康德、迈瑞医疗、片仔癀、云南白药等 20 只核心标的。 当用户需要 医药日报、医药行业日报、pharma daily.
• porters-five-forces — Perform Porter's Five Forces analysis — competitive rivalry, supplier power, buyer power, threat of substitutes, and threat of new entrants.
• pricing-strategy — Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity.
• prioritize-assumptions — Prioritize assumptions using an Impact × Risk matrix and suggest experiments for each.
• prioritize-features — Prioritize a backlog of feature ideas based on impact, effort, risk, and strategic alignment with top 5 recommendations.
• product-strategy — Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth.
• seo-competitor-pages — Generate SEO-optimized competitor comparison and alternatives pages.
• startup-canvas — Generate a Startup Canvas combining Product Strategy (9 sections) and Business Model (costs + revenue) for a new product.
• summarize-interview — Summarize a customer interview transcript into a structured template with JTBD, satisfaction signals, and action items.
• swot-analysis — Perform a detailed SWOT analysis — strengths, weaknesses, opportunities, and threats with actionable recommendations.
• user-personas — Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights.
• user-segmentation — Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments.