AI Project Initiation Evaluation and Validation Path Generation System
从点子到验证·拆解假设·降低试错成本
Why we love this skill
This skill transforms startup ideas into rigorous validation paths. It systematically breaks down assumptions, identifies risks, and generates actionable validation plans, helping you efficiently reduce trial-and-error costs.
Instructions
The author has set the instructions to private. Below is a brief overview.
description
This skill is designed to provide entrepreneurs, product managers, and innovation teams with comprehensive product or project validation analysis. It helps users deeply analyze the market potential, risks, and validation paths of new ideas, ensuring a clear understanding of the project's core assumptions before investing significant resources. Through multi-dimensional analysis, this skill can assess the project's stage, identify key assumptions, and construct a hypothesis dependency graph, thereby pinpointing the most vulnerable and dangerous aspects of the project. It also analyzes the target user's role chain in detail, the strength of current alternatives, and determines whether your solution has the potential for a "10x improvement." Furthermore, it helps users identify potential "death problems," conduct counterfactual failure analysis, and generate multiple positioning variants to explore further possibilities. In terms of commercialization, this skill assists users in selecting appropriate business models, breaking down the underlying reasons why users pay and the events triggering their purchases, and proposing preliminary pricing logic. It also plans the minimum marketable product (MVS) and develops specific initial market entry (GTM) paths and resource matching recommendations. Ultimately, this skill provides a tiered report with detailed analysis, 7-day and 30-day validation plans, clear stage gate decision recommendations, and next steps guidance to help users quickly validate core hypotheses at minimal cost.
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OPC Contract Fence
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Product Monetization Engine Pro – Helping Developers Make Money
Creating a product is an engineering problem, which AI has already solved. Selling the product is a business problem—and that's where 90% of independent developers truly get stuck. This isn't some general business advisory piece; it's a practical monetization coach that integrates core MBA methodologies. The underlying logic comes from a strategic framework validated by business schools over decades—Porter's Five Forces for market structure assessment, STP for precise user targeting, CLV for pricing decisions, DCF for evaluating ROI, and TOC for optimizing the time leverage of a one-person company—but it avoids academic jargon, translating these frameworks into actions that independent developers can directly execute. It first determines your current stage (idea phase, product without users, users without revenue, revenue growth stalled), then uses four diagnostic frameworks to break down your monetization bottlenecks layer by layer: • User locking (STP market segmentation → precise user profiles defined by "two adjectives + noun + verb") • Pricing courage test (value-driven pricing method → deriving specific numbers using opportunity cost and CLV) • Distribution flywheel design (three-layer flywheel: cold start → content compounding → growth flywheel, each layer specific to platform + action + expected result) • Unit economics model (LTV/CAC/break-even point → a clear calculation of whether your business is viable) It doesn't offer correct but useless advice like "do SEO, post on social media"—it only provides actionable solutions. Final delivery: a commercialization diagnostic report + a phased milestone action list ($0→$1k→$3k→$10k MRR path). All suggestions are adapted to the time constraints of a one-person company, highlighting which steps can be automated. Daring to say "This direction won't work, let's try another"—because saving you three months of wasted time is 100 times more important than saying nice things. An MBA teaches you to see the big picture, and practical experience teaches you to act quickly—this tool welds the two together.
Slow Teacher's Summary (with Images and Text)
A graphical abstract creation assistant specifically designed for review papers in top SCI journals. Based on the top journal methodology of "logical layer - visual layer - workflow layer - quality control layer", it supports dual channels of text input or document citation, automatically extracts the unique key message of the review, matches the target journal specifications, constructs a start-middle-end visual storyline, Gestalt topology layout, Morandi color system, and pre-submission stress test, generating publication-quality graphical abstracts.
AI Project Initiation Evaluation and Validation Path Generation System
从点子到验证·拆解假设·降低试错成本
Why we love this skill
This skill transforms startup ideas into rigorous validation paths. It systematically breaks down assumptions, identifies risks, and generates actionable validation plans, helping you efficiently reduce trial-and-error costs.
Instructions
The author has set the instructions to private. Below is a brief overview.
description
This skill is designed to provide entrepreneurs, product managers, and innovation teams with comprehensive product or project validation analysis. It helps users deeply analyze the market potential, risks, and validation paths of new ideas, ensuring a clear understanding of the project's core assumptions before investing significant resources. Through multi-dimensional analysis, this skill can assess the project's stage, identify key assumptions, and construct a hypothesis dependency graph, thereby pinpointing the most vulnerable and dangerous aspects of the project. It also analyzes the target user's role chain in detail, the strength of current alternatives, and determines whether your solution has the potential for a "10x improvement." Furthermore, it helps users identify potential "death problems," conduct counterfactual failure analysis, and generate multiple positioning variants to explore further possibilities. In terms of commercialization, this skill assists users in selecting appropriate business models, breaking down the underlying reasons why users pay and the events triggering their purchases, and proposing preliminary pricing logic. It also plans the minimum marketable product (MVS) and develops specific initial market entry (GTM) paths and resource matching recommendations. Ultimately, this skill provides a tiered report with detailed analysis, 7-day and 30-day validation plans, clear stage gate decision recommendations, and next steps guidance to help users quickly validate core hypotheses at minimal cost.
Related Skills
View allOPC Contract Fence
A contract safeguard tool for OPCs, one-person companies, and AI service providers. It automatically identifies 12 red-line risks, provides replicable clauses and negotiation scripts, and helps individual entrepreneurs unfamiliar with contracts determine "whether this deal can be signed, where the risks lie, how to modify it, how to negotiate, and whether a lawyer's review is needed." It does not provide legal advice, only business risk assessment.
Product Monetization Engine Pro – Helping Developers Make Money
Creating a product is an engineering problem, which AI has already solved. Selling the product is a business problem—and that's where 90% of independent developers truly get stuck. This isn't some general business advisory piece; it's a practical monetization coach that integrates core MBA methodologies. The underlying logic comes from a strategic framework validated by business schools over decades—Porter's Five Forces for market structure assessment, STP for precise user targeting, CLV for pricing decisions, DCF for evaluating ROI, and TOC for optimizing the time leverage of a one-person company—but it avoids academic jargon, translating these frameworks into actions that independent developers can directly execute. It first determines your current stage (idea phase, product without users, users without revenue, revenue growth stalled), then uses four diagnostic frameworks to break down your monetization bottlenecks layer by layer: • User locking (STP market segmentation → precise user profiles defined by "two adjectives + noun + verb") • Pricing courage test (value-driven pricing method → deriving specific numbers using opportunity cost and CLV) • Distribution flywheel design (three-layer flywheel: cold start → content compounding → growth flywheel, each layer specific to platform + action + expected result) • Unit economics model (LTV/CAC/break-even point → a clear calculation of whether your business is viable) It doesn't offer correct but useless advice like "do SEO, post on social media"—it only provides actionable solutions. Final delivery: a commercialization diagnostic report + a phased milestone action list ($0→$1k→$3k→$10k MRR path). All suggestions are adapted to the time constraints of a one-person company, highlighting which steps can be automated. Daring to say "This direction won't work, let's try another"—because saving you three months of wasted time is 100 times more important than saying nice things. An MBA teaches you to see the big picture, and practical experience teaches you to act quickly—this tool welds the two together.
Slow Teacher's Summary (with Images and Text)
A graphical abstract creation assistant specifically designed for review papers in top SCI journals. Based on the top journal methodology of "logical layer - visual layer - workflow layer - quality control layer", it supports dual channels of text input or document citation, automatically extracts the unique key message of the review, matches the target journal specifications, constructs a start-middle-end visual storyline, Gestalt topology layout, Morandi color system, and pre-submission stress test, generating publication-quality graphical abstracts.
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