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Competitor Selection Report

Competitor Selection Report

Compare official data, matrices, and costs

Made by
若若宇
Installed by
0
CategoryResearch
FromYouMind

Showcase

Description

Ideal for creators, small teams, or procurement researchers who need to choose between two to five specific products. Provide candidate names, plans, use cases, team size, region, currency, budget, and mandatory requirements. Process: Establishes decision boundaries, checks current official pricing and documentation, records facts and sources to build a standardized matrix, filters mandatory requirements, and analyzes trade-offs. Unknown items remain marked as unknown, and conditions that could alter the recommendation are recorded. Cost calculations detail unit prices, seats, billing cycles, and unverified items. Output: A readable Markdown report, a competitor matrix, an evidence log with dates and links, conditions for selection or postponement, a baseline cost estimate when data is complete, and a trial and migration checklist. JSON can be included when writing files. Python is available to check checklist structures and calculations, but cannot replace fact-checking. Usage: Provide candidates and scenarios. Read the summary and hard requirements first, check facts against evidence IDs, and then perform validation actions. Re-verify pricing, region, and account details before signing contracts or changing plans.

Editor's Recommendation
D

Recommended by

Dancang

Why we love this skill

Turns 'which is better' into verifiable selection criteria by uniformly checking official data, filtering hard conditions, rigorously calculating base costs, and clarifying unknown items, evidence chains, and condition changes.

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Tool Selection Report

Ideal for anyone who needs to organize rationale before software subscriptions, tool migration, or workflow selection. Provides: The task to complete, candidate tools, operating system, budget, frequency, and required features; you can also provide restricted materials. Process: Determines comparison dimensions, checks accessible official documentation and pricing, records official statements, inferences, actual observations, and unknowns separately, and organizes comparisons by the same billing cycle, currency, and applicable conditions. When real-time access is unavailable, it relies solely on user-provided materials and notes the cutoff date. Output: Task- and condition-based recommendations, uniform comparison table, evidence ledger with links and dates, trial acceptance checklist, and unverified items. When file capabilities are available, it saves Markdown and CSV; otherwise, it provides complete, copyable text without pretending to generate downloadable files. Usage: Provide scenarios and hard constraints, and read the report before trying it out on your own small sample. Research reports do not replace software performance tests and do not declare quality winners based on install counts or official website claims. Dependencies: Text model, GPT recommended, with specific versions chosen by the platform. Web search/browsing tools are required for real-time research. The core does not need image APIs, registration, or paid subscriptions, and does not upload private materials without authorization. Platform model runtime fees are billed separately by the platform; this product does not include third-party services. The cover is an original ImageGen conceptual visual, not a software trial result. The four preview images are local excerpts of simulated selection research reports generated by the final skill, based on official data snapshots actually obtained on 2026-11-09, finalized on 2026-11-10. The software in the images is not installed or performance-tested, and accuracy, speed, or optimal pricing are not guaranteed. Pricing and features may change, so recheck before formal decisions. No YouMind runtime tests were added, and persistent model binding was not verified. Display notes: The first image is a side-by-side layout of the independent skill avatar and actual output of case study 01 for horizontal thumbnail display; it is not a new case study, nor did the image generation model redraw the evidence. The remaining three images correspond to case studies 02 through 04.

若
0199
Slides

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适合月度汇报、项目复盘、年度总结与方案提案。提供已有PPTX、汇报对象、需要保留的品牌/尺寸/字体、允许修改范围和视觉参考;先看完整原稿再重排页面。 流程:提取文字、表格、原生图表和备注清单,逐页说明问题与改法;在副本中调整信息层次、对齐、字号、图表表格样式与页面节奏,保留数据口径和未知项;输出后重新读取、渲染并逐页检查。输入是PPTX;图片/PDF还原属于其他任务。 交付:可编辑PPTX、逐页修改对照、事实/数据/备注核对表、完整页预览和使用说明。不会把正文、表格和图表烘焙成整页图;未经授权不改数据、删页或把计划写成完成。专用编辑探针另存,正式汇报与测试副本明确区分。 包内Python3标准库清单脚本只负责OOXML事实取证,不是完整编辑器;工作簿保留助手仅在源与候选图表数据/公式唯一匹配时保留源工作簿原字节,不能修复任意PPT。核心重排仍需要真实PPTX原生编辑和渲染工具。使用可用文字模型(建议GPT)组织修改;精确型号以环境为准,不绑定图像模型。YouMind是否具备本地工具需按实际能力核验,不能仅因导入Skill就保证能运行编辑器。 四个本地真实执行案例都是本次新建的虚构原稿:月度内容、资料整理项目、年度归档、工时提案。每份4页,共16页,原生文字/表格/图表/备注完整保留;编辑测试实际修改标题、表格单元格和图表首项数值,另存并重开核对。源数据与原有工作簿保留检查覆盖这些案例,不等于任意复杂PPT零损失保证。 四展示为最终PPTX重新导入后渲染的代表页,未重绘证据;完整原稿、逐页前后图与16页正式稿本地保留。头像为原创文字排版结合真实案例页,未冒称生图API或客户业绩。 本地用Artifact Tool完成原生编辑与重开渲染;未在PowerPoint、Keynote或Google Slides应用内打开验证,字体缺失可能改变换行。复杂动画、宏、SmartArt/OLE、外链公式、图片文字及特殊模板须单独检查,工具丢失必需对象时应停止并说明。未消耗YouMind积分测试,未确认平台模型绑定;199积分不含模型或第三方工具费。不承诺审核、任意应用兼容、销量、融资、效率或收益提升。 展示说明:首张为独立技能头像与案例01实际输出的并排排版,用于横向缩略展示;不是新增案例,也未让生图模型重绘证据。其余三张对应案例02—04。

若
0199
Write

商品卖点成稿|附宣传主张核对表

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若
0199

Information

Version
v3
Last updated
Runtime credits
Usage-based
Models
Auto

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Competitor Selection Report