Publisher

Skills by fize

14 published skills, 13 installs in total.

多 Agent 并行投研与风控决策流水线。输入标的代码与日期,并发调度多个专业 Subagent 全面透视基本面 EPS 与多模型市值、筹码资金与机构热度、全网消息舆情,结合大势环境进行量化风控核验(一票否决门禁),最终交付综合决策研报。各专员 Prompt 独立存放于 agents/ 目录下,践行渐进式披露直接调用 market 技能获取底层数据,数据缺失时严格终止阻断。当用户需要启动多智能体对个股进行全流程深度透视、并行流水线分析或产出多维研报时触发(包含触发词:投研流水线, 多Agent分析, 并行深研, 标的透视, ticker pipeline)。

by fize2 installs

End-to-end brand visual identity (VI) design methodology — a six-stage workflow from brand soul discovery to visual identity system building and multi-touchpoint brand manual delivery. Covers core concept, logo design, color strategy, typography, graphic language, and touchpoint application. Use when: designing brand identity, visual identity systems (VI), logo design, brand guidelines, or brand manuals. Keywords: brand identity, VI设计, 品牌视觉系统, 品牌VI, logo design, 品牌设计, 品牌手册, brand guidelines.

by fize2 installs

Graphic design deep research: automatically collects design references across domestic and international platforms (Behance, Dribbble, Pinterest, Zcool, Huaban), performs cluster analysis on aesthetic trends, and outputs visual HTML research reports with reusable exploratory prompts. Use when: researching design directions, analyzing visual trends, gathering inspiration moodboards, or exploring visual styles. Keywords: 设计调研, 灵感调研, 风格调研, 视觉参考, 情绪板, design research, aesthetic trends, moodboard.

by fize1 installs

A股交易标准操作程序(SOP)总编排。从用户的自然语言输入出发,识别当前交易意图(盘前准备、盘中复盘、盘后复盘、个股深度研究、首板隔夜),按需编排调用现有技能流水线,最终输出可操作的决策建议。当用户提出日常交易操作、盘前准备、盘中复盘、盘后总结、全流程投研或个股深研请求时触发(包含触发词:今天怎么操作, 帮我做盘前, 复盘一下, 研究一下, 首板今晚要不要留, 当前市场适合买吗, 给我一套完整分析, 全流程分析, SOP, 操作建议, 我要开始做功课了, trading sop)。

by fize2 installs

个股及 ETF 标的基本面与技术面综合分析 SOP(支持 A 股、港股及美股)。融合真实 EPS 核算、多模型目标市值测算、财务三大表、20+ 项确定性技术指标及大势环境校准,输出标准化《标的量化投研报告》。当用户需要深度分析个股、评估公司基本面估值、计算目标价、分析财报或量化技术面时触发(包含触发词:个股分析, 基本面研究, 估值测算, 财报透视, 目标市值, asset analysis, valuation, DCF, PEG, EPS)。

by fize2 installs

Frontend interaction resilience & defense SOP for engineering implementation. Covers 7-step pre-coding interaction checklist: user intent & task friction reduction, P0/P1/P2 information hierarchy triage, 4-state resilience (empty, loading, error, destructive confirmation), perceived performance (optimistic UI, skeletons), power user shortcuts, and layout resilience trade-offs. Use when: implementing UI views/forms/dashboards in code, designing component interaction logic, handling edge cases and states, or conducting frontend UX resilience reviews. Keywords: 交互细节, 状态设计, 边界情况, 异常处理, 交互审查, 骨架屏, 乐观更新, 防错设计, interaction design, edge cases, error state, empty state, loading state, UI review, UI resilience.

by fize

End-to-end product UX lifecycle methodology — four-stage workflow from requirements research and user scenario modeling to information architecture, low-fidelity wireframing, and developer handoff. Focuses on macro product UX: user journey maps, content hierarchy, IA, and design system alignment. Use when: planning product UX from 0 to 1, drafting user journey flows, defining PRD user scenarios, structuring information architecture, or creating low-fidelity wireframe prototypes. Keywords: 产品设计, UX流程, 用户旅程, 需求分析, 流程图, 低保真线框图, 原型规划, 体验设计, user journey, wireframe, user flow, information architecture, product UX, PRD.

by fize

Commercial and e-commerce image generation methodology — three-layer prompt engineering framework (subject-scene / style-texture / technical-constraints) covering both global cross-border platforms (Amazon, Shopify, SHEIN, TikTok, Instagram) and domestic Asian markets (Taobao, JD, Xiaohongshu, WeChat). Includes multi-platform templates and iterative optimization strategies. Use when: generating product photos, marketing posters, e-commerce covers, or commercial AI visuals. Keywords: e-commerce image, product photography, commercial prompts, SHEIN, Amazon, Shopify, 淘宝主图, 营销海报, 小红书封面, 生图提示词.

by fize

A highly customizable UI design specification system based on headless component libraries (shadcn/ui, Radix UI), integrating Apple HIG, Microsoft Fluent, and Google Material Design. Unlike using off-the-shelf frameworks (Ant Design, Element Plus), this skill is for scenarios requiring full control over component styles and DOM structure, emphasizing design freedom and brand customization. Use when: generating custom UI code, reviewing custom UI designs, or needing to follow platform-specific design guidelines. Supports HIG / Fluent / Material / All specification modes. Keywords: shadcn/ui, Radix UI, headless, custom components, HIG, Fluent, Material Design.

by fize

A UI design specification system based on off-the-shelf UI frameworks (Element Plus, Ant Design, Arco Design, TDesign, Semi Design). Suitable for projects using framework-built-in components, as opposed to headless component libraries (shadcn/ui, Radix UI). Use when: generating UI code with a specified framework, reviewing existing code for framework compliance, recommending between frameworks, or migrating code from one framework to another. Keywords: Element Plus, Ant Design, Arco Design, TDesign, Semi Design, framework components, Vue components, React components, framework migration, design tokens, theme variables.

by fize

Comprehensive multi-domain color design system — covering both digital product UI (semantic CSS color tokens, dark/light mode, WCAG AA contrast) and graphic/print design (CMYK/Pantone specs, print paper absorption & spot colors, 60-30-10 harmony rules, emotional poster & packaging palettes). Use when: configuring color tokens, generating tokens.css, designing dark/light mode palettes, or determining CMYK/Pantone colors for graphic, poster, and packaging print materials. Keywords: color system, 色彩系统, 配色方案, color tokens, dark mode, light mode, 平面设计配色, 印刷色彩, CMYK, Pantone, 包装配色, 海报配色.

by fize

Validated pre-market, intraday, and post-market reports

by fize

通用小说创作与叙事引擎系统。面向短篇、中篇与长篇连载等各类小说,通过故事筑基 SOP 驱动题材对齐、规模承载力评估、总纲与世界观立项;通过自动化流水线驱动原生 Markdown Wiki 构建、蓝图校验、上下文编译、正文起草、双独立审查与事实结算;支持从小说或文章语料中两阶段提炼与构建自定义叙事引擎。当用户输入包括「新书立项」「故事筑基」「设计世界观」「规划总纲」「规模评估」「题材对齐」「写小说」「写下一章」「写第X章」「改写」「补充伏笔/钩子」「规划大纲」「检查质量」「章节结算」「继续流水线」「暂停写作」,或要求「参考某小说/文章提炼引擎」「构建叙事引擎」等任意小说创作与引擎构建任务时触发。

by fize2 installs

About Ottermind skills

Every published skill from fize. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.

Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.

A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.

What is an Ottermind skill?
A reusable instruction package written in Markdown. It gives an agent the context, steps, and constraints for one kind of task, so results stay consistent instead of depending on how well you phrased the prompt that day.
How do I install and use a skill?
Open any skill's detail page, read the full document, and install it into your workspace. From then on the agent can use it automatically when the task matches, or you can invoke it by name.
Can I create my own skill?
Yes. A skill is a Markdown file with frontmatter naming it and describing when it should be used. If you have a workflow you keep re-explaining to an agent, writing it down once as a skill is usually the shortest path to making it repeatable.
Do skills cost extra?
Browsing and installing skills from this library does not cost anything on its own. Running one consumes the same credits as any other agent task, depending on the model you choose and how much work the task involves.