Generate design or architecture documents from existing implementation. Works backwards from code/prototypes to create missing planning docs.
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。
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概要と使いどころ
Generate design or architecture documents from existing implementation. Works backwards from code/prototypes to create missing planning docs.
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。
用于根据 package.json、lockfile、配置、env 示例、路由、API client 或 server routes、schema、组件、测试、CI、构建/部署配置、ADR、changelog 或迁移说明等事实源同步前端项目文档。不要用于单纯润色普通文案;中文触发词包括 文档同步、更新 README、docs sync、环境变量文档、命令清单、API 文档同步。
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 setting up or reviewing Storybook component documentation, design-system presentation, isolated component state previews, stories, addons, decorators, MDX docs, component-state interaction checks, visual baselines, or Chromatic. For real-browser cross-page journeys or broader coverage planning, choose the matching testing workflow first; Chinese triggers include Storybook, component documentation, Design System, visual regression.
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 synchronizing frontend project documentation with source-of-truth files such as package.json, lockfiles, config, env examples, routes, API clients or server routes, schemas, components, tests, CI, build/deploy config, ADRs, changelogs, or migration notes. Do not use for general prose polishing only; Chinese triggers include document synchronization, update README, docs sync, environment variable documentation, command list, API Document synchronization.
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。
Build UIs with @nuxt/ui v4 — 125+ accessible Vue components with Tailwind CSS theming. Use when creating interfaces, customizing themes to match a brand, building forms, or composing layouts like dashboards, docs sites, and chat interfaces.
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。
Developer marketing and developer relations for B2B SaaS with technical audiences. Use this skill when the buyer or user is a developer: documentation as a marketing surface, quickstarts and time-to-first-call, SDKs and sample apps, developer community and DevRel programs, open-source strategy, and technical content that survives engineer scrutiny. Also triggers on: developer marketing, DevRel, developer relations, developer experience, DX, docs, documentation, quickstart, SDK, API marketing, open source strategy, developer community, technical content, dev audience, hacker news, engineering blog.
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。
Validate and enforce standard YAML frontmatter on research documents with JD-aware path resolution. Use when creating, editing, or validating research files, when user mentions "research metadata", "research frontmatter", "research staleness", "validate research", "RD-rules", or "research docs validation".
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, review, and manage Architecture Decision Records (ADRs) with auto-numbering, template detection, quality review, and index maintenance. Use when user mentions "ADR", "architecture decision", "document this decision", "create ADR", "review ADR", editing ADR files (docs/adr/, doc/adr/, .adr/), or discussing architectural choices and tradeoffs.
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。
Audit, classify, validate, and scaffold documentation using the Diataxis framework (Tutorials, How-to guides, Reference, Explanation). Use when user mentions "diataxis", "documentation framework", "quadrant", "doc audit", "doc coverage", "collapsed document", "tutorial vs how-to", "quadrant purity", "documentation types", or wants to classify docs by type.
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。
Audit a site or page against Google's OFFICIAL AI optimization guidance — readiness for AI Overviews and AI Mode, grounded in Google's published ai-optimization-guide and ai-features docs (not third-party GEO theory). Use when user says "AI optimization", "AI Overviews", "AI mode", "AI search readiness", "optimize for AI", or "GEO audit".
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 a Lighthouse audit against any URL via the local Lighthouse CLI or the PageSpeed Insights API fallback, parse category scores and failed audits, and map every failed audit ID to its official Chrome docs page plus a one-line fix. Use when user says "lighthouse", "lighthouse audit", "run lighthouse", "lighthouse score", or "pagespeed".
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 this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document 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。
Create, read, edit, or manipulate Word documents (.docx) and Word templates (.dotx). Use whenever a build task's artifact kind is document with the default docx output, or the task mentions a Word doc, .docx, or .dotx, extracts or reorganizes content from one, inserts or replaces images, does find-and-replace in one, or works with tracked changes (redlines) or comments. Covers python-docx generation, raw OOXML editing of existing files, document structure and formatting, and render verification. Not for PDFs, spreadsheets, or Google Docs.
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。
Analyzes ELF binaries, executables, and firmware images to understand behavior without source code; coordinates sub-skills binary-re:triage, binary-re:static-analysis, binary-re:dynamic-analysis, binary-re:synthesis, and binary-re:tool-setup. Use when working with a binary, executable, or ELF file; asked to reverse engineer, disassemble, decompile, or figure out what something does; targeting ARM64, ARMv7, x86_64, or MIPS; or analyzing Python bytecode (.pyc, marshal). For Python bytecode analysis, see docs/python-bytecode-re.md.
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。
Convert any pile of documents (PDF, Word, HTML pages, wiki exports, PowerPoint slides) into clean, LLM-ready markdown context: inventories the sources, picks the right extractor per file type (pdftotext or PyMuPDF for PDF, pandoc or mammoth for docx, readability extraction for HTML.
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。
Audit your project's documentation health and identify gaps. Scans for README, changelog, API docs, ADRs, runbooks, onboarding guides, and diagrams. Triggers: you need a documentation audit, want to check doc coverage, find missing documentation, or assess documentation quality.
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。
Feature discovery agent — mines project docs, memory, user feedback, and competitor gaps to surface the highest-leverage features to build next. Outputs a prioritized feature backlog.
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 a pre-launch readiness checklist for feature releases. Use this skill when: - A feature is nearing completion and you need a launch readiness checklist - You want to ensure all pre-launch items are covered (docs, training, support, rollback) - You are planning a phased rollout and need a structured go-to-market plan
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。
Build or refine the Ideal Customer Profile (ICP) and personas using the Jobs-to-be-Done framework (Clayton Christensen / Bob Moesta). Use when the user asks for ICP research, persona development, "who are our customers", buyer personas, audience research, "build our ICP", target customer definition, or wants to update persona docs. JTBD interview questions, three job dimensions (functional/emotional/social), and the Four Forces of Progress are wired into every persona. Writes to knowledge/icp/personas.md so all other skills get smarter. For the individual buyer persona rather than the segment, see customer-persona. For sourcing real customer language, see customer-research.
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。
Analyze competitors using Blue Ocean Strategy's ERRC Grid and Strategy Canvas (W. Chan Kim and Renee Mauborgne) to identify uncontested market space, not just who is better on the same axes. Produces an ERRC Grid, Strategy Canvas, positioning matrix, messaging comparison, and differentiation map. Use when the user asks for competitive analysis, competitor research, "how do we compare to X", positioning vs competitors, market landscape, "analyze our competition", "where is the blue ocean", or wants to update competitor docs. Writes to knowledge/markets/competitors.md. For a lightweight competitor summary in the knowledge base, see brand-context. For positioning against them, see positioning-doc.
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。
Master skill — set up the full agent harness for any repo so an agent can work it reliably: legible (map-not-manual docs + custom lints), executable (one-command dev stack), verifiable (e2e gate + a verify-before-ship loop), plus commit hygiene and entropy control. Use when onboarding a new/unfamiliar codebase to agent-driven development — "set up the harness", "make this repo agent-ready", "harness this codebase".
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。
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
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 用户想根据论文、科研文档、研究文本、图注、开题/答辩材料或具备读图条件的参考图生成可复制的 AI 科研绘图提示词;触发场景包括论文配图、科研绘图、图形摘要、Graphical Abstract、机制图、技术路线图、实验装置图、模型架构图、多面板对比图、汇报总览图、参考图风格迁移、未知领域母版生成,或上传/引用 PDF、Word、LaTeX、Markdown、摘要、方法段、图注、课题说明、研究方案、参考图片。Also use when the user asks for scientific figure prompts, research illustration prompts, graphical abstract prompts, mechanism diagrams, technical roadmaps, experimental setup diagrams, model architecture diagrams, multi-panel scientific figures, paper/conference figures, or AI image prompts based on papers, research documents, abstracts, methods sections, figure captions, proposals, reference images, PDFs, Word docs, LaTeX files, Markdown files, or research plans.
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。
High Availability control plane for Yuzu — the canonical entry point for any work on ADR-2002 (active-active server tier, gateway-fronted routing, Postgres-backed coordination seam, HA Postgres storage). Use when the user says "/ha", "/high-availability", "/ha-matrix", asks to plan or implement an HA workstream (WS-0…WS-14), asks "what's our HA gap" or "is it safe to run a second replica yet", asks to audit HA readiness, or starts work touching the coordination seam (leader election / fenced epochs / transactional outbox), gateway intra-cluster routing, shared `AgentRegistry` presence, PKI/CA HA, or the `deploy/docker/*ha*` / `scripts/ha/` surface. The skill bundles the two-axis model, the safe-to-scale gate, the delivery matrix (current-state + reviewers + status), the per-workstream workflow, and the load order for the routed reference docs.
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。