102건 · 관련도순
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Guide a team from product positioning and customer problem research to prioritized initiatives and a roadmap. Coordinate validation, stakeholder feedback, and execution planning so the team can connect its strategic direction to concrete work.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Evaluate an AI product or feature idea by connecting customer problems, business outcomes, testable assumptions, risks, and differentiation. Produce a structured recommendation with lightweight experiments, success measures, and next steps for an investment decision.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create a clear statement of your product’s market position using Geoffrey Moore’s framework. Define the target customer, unmet need, product category, customer benefit, and meaningful differences from the alternatives buyers actually consider.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Work through up to five adaptive questions to clarify your product’s customers, unmet needs, category, benefits, and competitive differences. Turn the answers and supporting evidence into a positioning statement and a concise summary for stakeholder review.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Define ideal customers and a clear market position for an AI product. Use customer evidence to separate customer fit from buying intent, turn technical capabilities into business messages, and plan recurring checks of product-market fit.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Systematic competitive analysis covering positioning, messaging hierarchy, objection handling, and CTA strategy from landing page URLs or screenshots. Use when pasting a competitor URL, uploading competitor screenshots, requesting positioning analysis, or needing to understand competitive messaging and differentiation strategies. Platform: Google and Meta.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks to "audit our brand narrative" or "is this message on-canon"; runs separate typed TALE truth, system, or effectiveness profiles and never averages them into one composite. Checks differentiation, canon, landing consistency, and evidence integrity. Not for launch readiness — use launch-readiness-auditor; not for social operations — use social-quality-auditor. 品牌叙事分层审计/发布前一致性放行
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks to "check our positioning against what we can actually ship", "trace which differentiators we can defend", or "reconcile the positioning canvas with the claims ledger"; reconciles the reused positioning canvas against the shippable stage and the claims ledger to produce a differentiation truth set — every differentiating claim verifiable or marked '[needs source]' — that TALE-T1 is judged against. Not for building the canvas — use positioning-mapper; not for adjudicating claims — use offer-claims-registry; not for authoring the message house — use message-system-architect. 定位真相/差异化校准/可交付现实/主张核对
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for AI-citation SEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Establish durable brand and voice context for cross-skill consumption. Generates BRAND.md (audience, positioning, do/don't editorial rules, taboo phrases, competitor differentiation) and VOICE.md (existing persona JSON re-expressed as readable prose), both written to the project root. When present, the blog orchestrator auto-loads these files for write, rewrite, brief, outline, calendar, and strategy workflows. Pairs with blog-persona, which manages the structured persona JSON. Use when user says "blog brand", "create brand context", "brand voice doc", "BRAND.md", "VOICE.md", "establish editorial brand", "brand guidelines for blog".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Establish durable brand and voice context for cross-skill consumption. Generates BRAND.md (audience, positioning, do/don't editorial rules, taboo phrases, competitor differentiation) and VOICE.md (existing persona JSON re-expressed as readable prose), both written to the project root. When present, the blog orchestrator loads these files, fenced as untrusted data, for write, rewrite, brief, outline, calendar, and strategy workflows. Pairs with blog-persona, which manages the structured persona JSON. Use when the user says "blog brand", "create brand context", "BRAND.md", "VOICE.md", "establish editorial brand". Not for learning a voice from existing posts (blog-style) or managing persona JSON (blog-persona).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
High-performance numerical computing and machine learning workflows using JAX. Supports array operations, automatic differentiation, JIT compilation, RNN-style scans, map/reduce operations, and gradient computations. Ideal for scientific computing, ML models, and dynamic array transformations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyzes multiple provided pages to identify keyword overlap and potential cannibalization issues. Suggests differentiation strategies. Use PROACTIVELY when reviewing similar content.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
This skill should be used when the user asks to "analyze competitors", "assess competitive landscape", "identify differentiation", "evaluate market positioning", "apply Porter's Five Forces", or requests competitive strategy analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Prepare for an industry analyst briefing (Gartner, Forrester, IDC and similar). Use when asked to prep an analyst briefing, write an AR briefing document, build talking points for an analyst call, or prepare a Magic Quadrant / Wave submission narrative. Produces a briefing kit — objective, company/product narrative, differentiation, proof points, the demo storyline, anticipated questions, and follow-up commitments.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Research competitors, analyze their messaging, and generate a positioning document with category definition, differentiation claims, value propositions, and proof points. Chains web research, competitor site analysis, and review mining to produce a positioning doc ready for website copy and sales deck use. Use when a product marketing team needs to define or refresh positioning ahead of a launch, rebrand, or competitive shift.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Market positioning strategy using the April Dunford framework, enriched with JTBD discovery, Moore positioning statement, and Neumeier's Onliness Test. Produces a complete positioning document, positioning statement, competitive alternatives map, and market category analysis. Use when the user wants to define or refine their market positioning, find their unique position, differentiate from competitors, craft a positioning statement, choose a market category, or figure out "how should we position this product." Triggers for "positioning", "how to position", "market position", "differentiation strategy", "positioning statement", "competitive positioning", "category strategy", "where do we fit in the market", "how are we different", "unique value proposition", or any request to define, sharpen, or rethink positioning. Works standalone — no prior startup-design or startup-competitors session needed, but leverages their output if available.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Competitor research — pricing comparison, bestseller analysis, differentiation strategy
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Multi-shop management — category separation, brand differentiation, efficiency optimization
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate correct MATLAB code using the Symbolic Math Toolbox. Use when the user asks for symbolic computations, analytical solutions, symbolic differentiation/integration, equation solving, or converting symbolic results to numeric MATLAB functions. Also use when converting differential equations to transfer functions or state-space form, extracting PDE coefficients (pdeCoefficients), symbolic-to-C code generation (matlabFunction + codegen), symbolic matrix variables (symmatrix), physical units and constants (symunit, newUnit), or rewriting/combining algebraic expressions (rewrite, combine).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Discover profitable business ideas from scratch. Analyzes market gaps, trending niches, user skills, and competitive landscapes with a competitive intelligence protocol including 4-filter benchmark stress test and Blue Ocean differentiation grid. Use when the user has no idea what to build, wants to explore opportunities, needs market research, competitive benchmarking, or says 'find me a business idea', 'what should I build', 'market research', 'find opportunities', or 'competitive analysis'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
When the user wants to write or optimize short-form marketing copy—headlines, CTAs, ad copy, landing page copy, email copy. Also use when the user mentions "copywriting," "headline," "CTA copy," "ad copy," "landing page copy," "sales copy," "conversion copy," "PAS," "AIDA," "BAB," "copy formula," or "differentiation." For long-form article bodies (blog posts, guides), use article-content.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
When the user wants to create SEO pages at scale using templates and data—including AI-assisted, grounded copy for per-URL differentiation (vs rigid mail-merge templates). Also use when the user mentions "programmatic SEO," "programmatic SEO pages," "template pages," "scale content," "location pages," "city pages," "comparison pages at scale," "X vs Y pages," "integration pages," "pages from data," "automated landing pages," or "programmatic landing pages." Uses a playbook matrix aligned to skills under skills/pages. For user-facing template galleries or marketplaces (browse → use), use template-page-generator.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.