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概要と使いどころ
Pressure-test and freeze a tiny iOS MVP in seven minutes using one persona, one explicit devil's-advocate round, scope cuts, and a three-screen flow. Use when an audience supplies an app idea, when requirements must be settled live, or when a concept needs a fast implementation-risk check before Claude Design or Claude Code.
日本語の概要は準備中です。原文の説明を表示しています。
Epistemic transparency — acknowledging uncertainty, flagging limitations, avoiding overconfidence, and communicating what is known, unknown, and uncertain with proportional confidence. Maps the HEXACO personality dimension to AI reasoning: truthful calibration of confidence, proactive disclosure of gaps, and resistance to the temptation to appear more certain than warranted. Use before presenting a conclusion, when answering questions where knowledge is partial or inferred, after noticing a temptation to state uncertain information as certain, or when a user is making decisions based on provided information.
日本語の概要は準備中です。原文の説明を表示しています。
Record insect sightings with location, date, habitat, photography, behavior notes, preliminary identification, and citizen science submission. Covers GPS coordinates, weather conditions, microhabitat description, macro photography techniques, behavioral observations, preliminary identification to order using body plan, and submission to citizen science platforms such as iNaturalist. Use when encountering an insect you want to document, contributing to citizen science biodiversity databases, building a personal observation journal, or supporting ecological surveys with georeferenced photographic records.
日本語の概要は準備中です。原文の説明を表示しています。
Evolve an existing agent definition by refining its persona in-place or creating an advanced variant. Covers assessing the current agent against best practices, gathering evolution requirements, choosing scope (refinement vs. variant), applying changes to skills, tools, capabilities, and limitations, updating version metadata, and synchronizing the registry and cross-references. Use when an agent's skills list is outdated, user feedback reveals capability gaps, tool requirements have changed, an advanced variant is needed alongside the original, or the agent's scope needs sharpening after real-world use.
日本語の概要は準備中です。原文の説明を表示しています。
Thoroughness and diligence in execution — systematic checking, completeness verification, follow-through on commitments, and the discipline of finishing well. Maps the personality trait of conscientiousness to AI task execution: not cutting corners, verifying results, and ensuring that what was promised is what was delivered. Use before marking a task as complete, when a response feels "good enough" but deserves better, after a complex multi-step operation where steps may have drifted, or when self-monitoring detects a pattern of cutting corners or rushing.
日本語の概要は準備中です。原文の説明を表示しています。
Catalog and classify materials using standard library systems. Covers descriptive cataloging, subject headings, call number assignment using Dewey Decimal and Library of Congress Classification, MARC record basics, shelf organization, and authority control for consistent access points. Use when organizing a personal, institutional, or community library from scratch, assigning call numbers and subject headings to new acquisitions, reclassifying a collection that has outgrown its original system, or establishing authority control for authors, series, or subjects.
日本語の概要は準備中です。原文の説明を表示しています。
Generate personalized, empathetic review responses for negative, neutral, and positive reviews
日本語の概要は準備中です。原文の説明を表示しています。
Perform actions in Linear (read, create, update, search issues, projects, comments, teams, cycles, labels, etc.) by writing and running small Node scripts against the official @linear/sdk TypeScript SDK with a personal API key. Use this when the user wants to do Linear work from the terminal without the Linear MCP server, or asks to list/open/create/update/close Linear issues, leave comments, or query teams, projects, users, or workflow states.
日本語の概要は準備中です。原文の説明を表示しています。
Perform actions in Linear (read, create, update, search issues, projects, comments, teams, cycles, labels, etc.) by writing and running small Node scripts against the official @linear/sdk TypeScript SDK with a personal API key. Use this when the user wants to do Linear work from the terminal without the Linear MCP server, or asks to list/open/create/update/close Linear issues, leave comments, or query teams, projects, users, or workflow states.
日本語の概要は準備中です。原文の説明を表示しています。
最强经理之争——把四位风格迥异的中国权益基金经理（易方达郑希、易方达张坤、易方达武阳、财通金梓才）放进同一个擂台， 用他们各自的全部公开观点原文 + 全部在管基金真实数据（季度持仓/净值/回撤/规模），做可溯源的对比与应用。能做： (1) 经理之争擂台——同口径比收益/最大回撤/回撤恢复/波动/Calmar/换手/规模，给"分场景谁更强、各自长短板"； (2) 行业/个股透视——给一个行业或股票，看四人谁持有/谁加减/谁更早布局，再用各自框架给"四个镜头"的综合看法； (3) 持仓/调仓追踪——逐季还原谁加仓、减仓、新进、清仓（季度颗粒度，公开数据能到的最细）； (4) 多视角参考——用四人的方法和真实操作，多角度帮你理解一只基金/一个行业、校准自己的判断（只呈现不同视角，不替你做决定、不构成建议）； (5) 溯源问答/方法讲解/风格化点评——引用某位经理本人原话答其观点，讲其投资框架，或用其口吻点评； (6) 言行对照——用真实持仓核对某位经理"说的"和"买的"。 (7) 进阶玩法——风格雷达+人设卡、本季调仓快报(共识/分歧)、言行一致性打分、观点时间机器(谁最早看到)、四人会诊(四种视角点评)、自定义擂台(把任意基金/经理拉进来比)。 When the user mentions 最强经理之争 / 经理对比 / 谁更强 / 回撤谁控得好 / 张坤/郑希/武阳/金梓才 / 景气轮动 vs 买入持有 / 风格雷达 / 人设 / 谁最早布局 / 言行一致 / 四人会诊 / 把某基金加进来比， asks who holds a sector or stock, wants 调仓追踪/调仓快报, a 风格化点评, words-vs-holdings, a style radar/persona, an opinion timeline, or to apply their methods to a fund/sector ——use this skill, even without the word "skill", even if the topic isn't in a corpus (fall back to that manager's method). 引用忠于原文、不杜撰；原话/推演/需核实分清；季度颗粒度非逐笔；研究学习辅助，非投资建议。
日本語の概要は準備中です。原文の説明を表示しています。
Generate personalized review responses for negative, neutral, and positive reviews — empathetic, professional, conversion-focused with platform-specific tone
日本語の概要は準備中です。原文の説明を表示しています。
OpenTSC v2.1: Soul/Shell architecture for interpersonal intelligence. Local, offline-first, with event graphs, judgment engine (K7), self-creation (K8), three-layer attributes, calibrated predictions, 11 VSM professions, and a pluggable zvec memory index (semantic search, identity resolution, jieba segmentation, emotion scoring incl. batched+cached LLM) that runs with zero extra deps. Transforms implicit social judgment into explicit, queryable, auditable, evolving intelligence.
日本語の概要は準備中です。原文の説明を表示しています。
把一个目标/主题/文章/截图/数据转成有观点、有节奏、有视觉约束的单文件 HTML 演示（网页 PPT、科技战报、产品拆解、行业观察、路演/发布会 deck、社媒可传播长图）。**7 套各锚定公认设计体系的视觉人格**——技术崇高派 Technical Sublime（工程冷光·技术战报/算力）/ 构成主义 Constructivism（宣言/号召）/ 信息·数据设计（Tufte·数据/图表）/ 判断震慑极简 Luxury（高端品牌/判断）/ De Stijl 新造型（标准/秩序）/ 编辑主义 Editorial（衬线·深度观察）/ 演示禅 Zen（暗墨·思想/品牌 keynote）——用户可指定，否则按内容自动判选并透明告知。token + validator 机检（P0/P1/P2）+ 32 维审计**机器强制设计一致性**；反伪造（不造数据/logo/截图/来源·示意标注）；字体本地子集；图按角色路由（默认 CSS/SVG·要图先探测生图环境）。Generates single-file HTML decks with 7 design-system-anchored visual personas, a semantic layout grammar, locked design tokens, evidence-grading, machine validation (P0/P1/P2 + 32-dimension audit), an anti-fabrication discipline, and image-generation environment detection. Use when the user wants a presentation / deck / slides / 网页 PPT / 战报 / 产品拆解 / 行业观察 / 路演 / 发布会 / 社媒长图, or asks to turn an article / screenshot / dataset into slides. Do NOT use for large data-table training material, strict legal/medical/financial compliance documents, multi-author collaborative PPT editing, plain-text summaries, requests to replicate a brand's official keynote visuals, or any request to fabricate realistic-looking data / fake logos / fake screenshots / fake sources.
日本語の概要は準備中です。原文の説明を表示しています。
Create a lean, mobile-aware Product Requirements Document for a NowStack Mobile app through interactive discovery, then save it to .agents/plan/PRD.md. Use for "write a PRD", "ns prd", "define the product", "plan my app", or as the first planning step before ns-architecture and ns-tasks. Mobile-flavored — personas, onboarding/paywall flow, platforms (iOS/Android/web), IAP vs subscription monetization, store scope. Feeds ns-init-project (site-config) and the rest of the planning pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Find realistic link prospects with SERP and backlink evidence, discover contact paths via web tools, and draft personalized outreach — with targets saved to .seo/backlink-targets.json for off-page-seo campaigns. Use this skill when the user has a linkable asset (study, tool, guide, template, product page) and wants backlinks, resource-page inclusions, or comparison mentions. Triggers: "link prospecting", "find backlink opportunities", "resource page outreach", "get backlinks for", "link building outreach".
日本語の概要は準備中です。原文の説明を表示しています。
Define or extract a consistent brand voice that other skills can use. Three modes: Extract (analyze existing content), Build (interview-based), Auto-Scrape (from URL). Use when copy sounds generic, when starting any new project, when voice feels inconsistent across channels, when onboarding a new brand, or when any skill needs voice-profile.md but it doesn't exist yet. This is always the first skill to run for a new project. Make sure to use this skill whenever the user mentions tone of voice, brand personality, 'my copy all sounds the same', 'how should I sound', 'analyze my website voice', 'define my tone', or anything about making content sound more human or distinctive. Even if the user just says 'my marketing sounds generic' — that's a voice problem.
日本語の概要は準備中です。原文の説明を表示しています。
Brand-grounded Remotion video pipeline. Take a brief, ground it in `brand/` (voice, audience, positioning, creative-kit), write a beat sheet, scaffold a fresh Remotion project, generate any required assets, compose with frame-driven animations, and bake a final MP4. Use this skill whenever the user wants to build a NEW Remotion video from scratch — product films, motion graphics, code-driven shaders, CRT/glitch effects, HTML-in-canvas demos, React video. Triggers on requests like "make a remotion video", CRT/glitch/scanline effects, html-in-canvas demos, video shaders, WebGL video, and frame-driven React video. This is the mktg-native sibling of the personal `/cmo-video` skill: `/cmo-video` recreates the *style* of an existing reference video; `/cmo-remotion` builds something new from a brief. Always load `remotion-best-practices` before stage 5 (compose).
日本語の概要は準備中です。原文の説明を表示しています。
Personalized Recruiting Outreach — LinkedIn InMail templates, cold email, second-touch follow-ups customized to the candidate's background
日本語の概要は準備中です。原文の説明を表示しています。
Content angle generator for turning dry expert topics into high-engagement infotainment. Applies 7 journalistic angle types (Myth vs Reality, Paradox, Level Error, Price of Solution, Conditions, Hidden Driver, Contrary Thesis) + historical/future lens + news-hook framing. Use when experts need their content to become interesting rather than just informative - blog posts, video scripts, social content, newsletters, landing pages, ad hooks. For any niche: B2B, B2C, services, products, personal brand.
日本語の概要は準備中です。原文の説明を表示しています。
Customize any Cowork skill or workflow to match your specific industry, company, and style. For tuning default skill outputs to your voice, when adapting generic workflows to a specific industry, or during a skill quality review. Use when the user says "customize this skill", "output is too generic", "make this work for my industry", "personalize this workflow", "results do not match my style", or "how do I get better results from Cowork".
日本語の概要は準備中です。原文の説明を表示しています。
Interviews you about a task you repeat often, then walks you through building a custom skill for it using Cowork's built-in skill creator — no coding required. For packaging a repeating workflow into a one-phrase trigger, when teaching Cowork your personal process from scratch, or during a skill library build session. Use when the user says "create a skill", "teach claude my workflow", "custom skill", "make cowork do this automatically", "automate my process", "I do this every week", or "how do I make a skill".
日本語の概要は準備中です。原文の説明を表示しています。
Run AI agent tasks on a Volcengine (火山引擎) cloud phone via the Mobile Use Agent OpenAPI. Use when the user asks to drive, automate, operate, or test an Android app on a cloud phone for enterprise use cases (e.g. reply to WeCom customer messages, add leads in a CRM, clock in on DingTalk, check invoicing stats, query inventory in a supply-chain app, ship e-commerce orders, approve OA requests) or personal ones (open 小红书 and search, place an order, check nearby places on a map), or to check status, fetch result, cancel, or list a Mobile Use run. Requires one-time setup to store Volcengine AK/SK locally; ProductId and PodId can be saved as a default device during setup, the user prompt is provided per run. Supports optional GPS injection (GpsInfo) with user consent (auto-asked only for location-related tasks).
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about Iranian state-sponsored cyber operations or specific IRGC/MOIS-aligned actors (APT35/Charming Kitten, APT34/OilRig, MuddyWater, Imperial Kitten, etc.), wiper campaigns, front-group hacktivist personas (Handala, Cyber Av3ngers), or anti-Iran operations such as Predatory Sparrow. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Implement GDPR data protection requirements. Configure consent management, data subject rights, and privacy by design. Use when processing EU personal data.
日本語の概要は準備中です。原文の説明を表示しています。