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概要と使いどころ
Diagnose why an existing implementation differs from reference evidence using AE/SSIM, pixel, section, computed-style, and transition diffs. Use for post-implementation mismatch or repair guidance; not baseline capture or full clone generation.
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。
Clone or recreate a live website URL, page, or section as React + Tailwind with extracted DOM, CSS, assets, responsive layout, motion, and interactions. Use for live-URL implementation or fidelity repair; not capture-only or diff-only requests.
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。
当用户需要做重大决策、团队存在群体思维、或想将决策权下放到一线时触发此技能。帮助建立知情指挥决策模型，让最有信息的人做最终决定。
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。
Skill for building with the Astro web framework. Helps create Astro components and pages, configure SSR adapters, set up content collections, deploy static sites, and manage project structure and CLI commands. Use when the user needs to work with Astro, mentions .astro files, asks about static site generation (SSG), islands architecture, content collections, or deploying an Astro project.
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。
小说逻辑/剧情审查，适用于用户说"帮我检查下小说有没有bug"、"看看时间线有没有矛盾"、"人物有没有OOC"、"找剧情前后冲突"、"梳理伏笔有没有回收"、"检查小说剧情合理性"、"看看有没有剧情漏洞"、"人物行为不符合性格"、"检查时间线对不对"、"找小说前后矛盾的地方"、"帮我梳理所有伏笔"、"小说剧情bug检查"、"逻辑漏洞排查"等需求，检测时间线冲突、逻辑漏洞、人物OOC、伏笔遗漏等问题，**执行字数检查确保章节字数达标**，**生成详细问题清单并自动修复所有问题，修复结果直接修改 chapters/ 目录，修改前自动备份到 .webnovel/write/original/**，**批量审查时使用子Agent并行处理，每个Agent最多负责3个章节**
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。
小说内容润色优化，适用于用户说"帮我润色这段小说"、"改下文笔"、"优化章节节奏"、"强化这个爽点"、"让对话更自然"、"把这段写得更爽"、"优化小说文笔"、"调整章节节奏"、"让对话更真实"、"帮我改下这段内容"、"润色小说"、"优化爽点"、"提升文笔"、"让这段更有代入感"等需求，提供3级润色等级，专注文笔与内容层面优化，支持风格适配、节奏收紧、爽点强化、对话优化等专项优化，**润色结果直接修改 chapters/ 目录，修改前自动备份到 .webnovel/write/original/**，**批量润色时使用子Agent并行处理，每个Agent最多负责3个章节**
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。
学术论文图表生成与设计。输入是实验数据（CSV/表格）、图表草稿、论文方法描述、中文图/表说明、想生成的图形摘要（GA）、或想画流程图时使用。功能包括：matplotlib 绘图（plot）、图表类型推荐（recommend）、英文图/表标题生成（caption）、论文架构图 prompt 生成（architecture）、图形摘要 prompt 生成（abstract）、流程图 prompt 生成（flowchart）、图表规范检查（polish）、概念图/示意图设计（design）。架构图模板覆盖 6 类场景，流程图覆盖 6 类（线性 / 分支 / 并行 / 循环 / 嵌套 / 泳道），图形摘要覆盖 5 类。内置 prompt 工程词汇表与参数化语法。不适用于：正文段落润色（用 academic-writing）、参考文献格式（用 academic-citation）。
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。
Recall project knowledge, past decisions, failures, and preferences when they can help a coding task. Capture changed files before responding.
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。
Learns a user's personal writing and speaking style through interactive writing prompts, then generates a reusable voice profile. Use when the user says "learn my writing style," "write like me," "capture my voice," "voice calibration," "mimic my tone," "my writing style," or wants AI to match their personal communication style. Also activates when a .voice-profile.md file exists and the user asks you to write something in their voice.
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。
Mark a rolling-wave slice done on explicit user authority, regardless of its current lifecycle status or missing implementation, finalization, review, verification, or child-project state. Use when the user says a slice is done, complete, finished, accepted, or should be marked done; capture available material learnings, update project state, and output roadmap progress without requiring earlier workflow steps.
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。
Summarizes uncommitted git changes in a concise machine-readable format. Use in CI pipelines, scripts, or headless invocations where the output will be piped or captured.
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。
Deep enrichment for community-sourced enterprise PROSPECTS (the 🎯 Prospective enterprise customers subsection). For each prospect, resolve their LinkedIn from their GitHub self-linked accounts FIRST (search only if none is self-linked), verify the employer matches, capture their full name, then list the company website + company size (ARR / latest funding round / employee count). Runs as a general-purpose subagent (many web searches) so the orchestrator's context stays small. Invoked by weekly-report (enterprise section) and the enterprise 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。
Subagent flow for deep-reading GitHub issues + their linked/closing PRs to the bottom. Captures CURRENT state, maintainer status updates, reporter repro, blocking reviewer concerns, hidden second bugs, cross-repo duplicates. Invoked by weekly-report orchestrator; runs as a general-purpose subagent so the orchestrator's context stays small.
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 beautiful, on-brand HTML artifacts — reports, diagrams, diff reviews, slide decks, plans, recaps, dashboards. Loads on creation intents ("create a plan", "make me an implementation plan", "generate a diagram", "build a slide deck", "draft a recap", "visualize this", "render this as HTML", "make me a status update") and exploration intents ("show me three layouts", "explore document shapes", "compare visual treatments", "explore a new design system", "compare replacement brand directions") and iteration intents ("make this beautiful", "polish this report", "make this less generic", "design this", "theme this", "use my brand", "iterate on this design", "review this artifact", "make this bolder", "make this quieter", "simplify this design", "animate this", "improve the look of", "give this a refresh"). Captures brand from the user's codebase, asking, or live site, then applies it to every artifact.
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。
Re-run the analysis pipeline on all runs matching an RQ, reaggregate metrics, and propose findings updates against the fresh data. Trigger when the user says "reanalyze RQ-N", "reanalyse RQ-N", "Runs neu analysieren", or wants to refresh metrics/findings after a pipeline change (analyze-run.sh fix, adapter added, ESLint config).
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。
Adaptive communication coaching that shapes.
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。
Expert-level signal processing covering Fourier analysis, sampling theory, digital filters, FFT, spectral estimation, and adaptive filtering.
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。
Expert-level immunology covering innate and adaptive immunity, antibody structure and function, T cell biology, immune evasion, vaccines, autoimmunity, and immunotherapy.
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。
Expert-level evolutionary biology covering natural selection, genetic drift, molecular evolution, phylogenetics, speciation, macroevolution, and the modern synthesis.
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。
Expert-level neuroscience covering neuronal physiology, synaptic transmission, brain regions and circuits, neuroplasticity, neurodegenerative diseases, and computational neuroscience.
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。
Frontend UI design, critique, audit, polish. Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI 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。
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
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。
Synthesises the current conversation context into a Product Requirements Document and publishes it to GitHub (as a comment on a referenced issue, or a new issue). Synthesises from context; does not interview. TRIGGER when: the conversation has produced enough understanding of a feature and the user wants it captured as a PRD. DO NOT TRIGGER when: a single small issue is enough → creating-issues; the idea has not been stress-tested yet → grilling-ideas first; bug reports.
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。
Turns a single feature idea, improvement, or bug into ONE well-structured GitHub issue. TRIGGER when: the user wants to file/open/create an issue, turn a feature idea or improvement into a ticket, or capture something missing or broken as a ticket. DO NOT TRIGGER when: breaking work into multiple issues or planning a body of work → a planning skill; writing a full Product Requirements Document → creating-prd; the idea is still fuzzy and unhardened → grilling-ideas first.
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。