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概要と使いどころ
Repo-aware recommendation manager for ctx. Scans the active repository, identifies stack and workflow signals, recommends a capped set of skills, agents, and MCP servers, and unloads helpers that no longer match the current work after user confirmation. Harnesses are recommended by the custom-model onboarding flow or loop adapters and then attach to the same recommendation layer.
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 writing, editing, reviewing, or replacing UI copy, UX writing, microcopy, button labels, link text, form labels, helper text, empty states, error messages, confirmation dialogs, onboarding text, notifications, or user-facing product wording.
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。
Design distinctive, production-grade frontend UI with bold aesthetic choices. Use when building web components, pages, interfaces, dashboards, or applications in any framework (React, Next.js, Angular, Vue, HTML/CSS).
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。
Enforce WCAG 2.2 AA compliance with semantic HTML, ARIA roles, keyboard navigation, and color contrast standards for web UIs. Use when building interactive components, adding form labels, fixing focus traps, or auditing a11y compliance.
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。
对已完成分析的视频进行导演与剪辑策划，再写带时间戳的中文解说并校验；也处理已有短片的 宣发标题、花字修订和外部文案回填。普通策划输入 work_dir 的 agent_narration_brief.md 与 vlm_analysis.json；文案返修输入当前成片的工程与内容证据。策划输出 recap_story_plan.json、visual_audio_board.json、 可选 style_card.json、cut 模式需要的 clip_plan.json，以及通过校验的 narration.json；仅宣发文案任务交付提案或回填既有包装计划。 外发说明：只有建议型评审 review.py 联网，它把旁白稿全文与理解证据、策划文件的文字摘录发到 MiMo chat 接口 （MIMO_API_KEY / MIMO_API_URL，不发视频、图片或音频）；单独使用时只在显式执行时运行，端到端编排默认在 TTS 前运行一次， 可用 --no-review-narration / REVIEW_NARRATION=0 关闭（严格评审开启时除外）；validate.py 与 lint 仅在本地运行。 触发词：解说词、写解说、视频旁白、宣发标题、花字修订、文案回填、 narration script、写稿、解说文案、剪辑思路、导演思路。
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。
Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering. Use after audio import and before mastering.
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。
Research a codebase and create architectural documentation describing how features or systems work. Use when the user asks to: (1) Document how a feature works, (2) Create an architecture overview, (3) Explain code structure for onboarding or knowledge transfer, (4) Research and describe a system's design. Produces markdown documents with Mermaid diagrams and stable code references suitable for humans and AI agents.
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。
Deploy or publish Python and R content to a Posit Connect server using rsconnect-python or the R rsconnect package. Handles interactive apps and dashboards, web APIs, rendered documents, and prepared bundles/manifests. Use whenever the user asks to deploy, publish, or redeploy content to Posit Connect, or mentions rsconnect. Consult this skill instead of guessing flags or commands.
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 modern Shiny dashboards and applications using bslib (Bootstrap 5). Use when creating new Shiny apps, modernizing legacy apps (fluidPage, fluidRow/column, tabsetPanel, wellPanel, shinythemes), or working with bslib page layouts, grid systems, cards, value boxes, navigation, sidebars, filling layouts, theming, accordions, tooltips, popovers, toasts, or bslib inputs. Assumes familiarity with basic Shiny.
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 distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build vue-web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any vue-web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
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。
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
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 distinctive, production-grade frontend interfaces with high design quality and accessible markup. Use this skill when the user asks to build or beautify web components, pages, applications, landing pages, dashboards, artifacts, or React/HTML/CSS UI. Generates creative, polished code that avoids generic AI aesthetics, then self-checks it against an objective accessibility and quality rubric.
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。
Operational rubric that turns "don't make AI slop" into observable properties, severity levels, evidence requirements, and repair actions for interface design. Use as the reference rubric when building or reviewing marketing sites, product interfaces, dashboards, portfolios, or e-commerce pages, especially alongside frontend-design.
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。
Codebase'i derinlemesine anla. Onboarding, architecture discovery, dependency mapping.
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。
Friendly onboarding tour of Claude Code capabilities for users asking what it can do.
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 brownfield codebase and create initial continuity ledger
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。
Structured logging with Pino/Winston, OpenTelemetry tracing, metrics collection, Grafana dashboards, and alerting rules.
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。
PromQL queries, alerting rules, recording rules, Grafana dashboard JSON, SLO
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。
Growth engineering - PLG, referral, viral loops, onboarding optimization.
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。
Full-stack frontend development combining premium UI design, cinematic animations, AI-generated media assets, persuasive copywriting, and visual art. Builds complete, visually striking web pages with real media, advanced motion, and compelling copy. Use when: building landing pages, marketing sites, product pages, dashboards, generating media assets (image/video/audio/music), writing conversion copy, creating generative art, or implementing cinematic scroll animations.
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。
WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
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。
axe-core integration, WCAG 2.2 AA checklist, keyboard navigation testing, screen reader testing, and ARIA pattern 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。
Generate exactly one finished CRT retro computer-interface illustration from an uploaded portrait, group photo, creature, object, or described theme. Use when the user wants anchored subjects re-authored as an exaggerated circa-1980s bitmap editorial caricature beneath early Macintosh or Minitel-style windows, optionally invoking the exact Chinese presets 街头怪诞, 巨像符号, or 冷面几何. Before generation, collect a named or image-derived palette and aspect ratio through a strict two-stage intake unless supplied. Preserve each intended subject as a distinct identity, one shared pixel lattice, restricted non-skin checkerboard midtones, low-facet geometry, unequal extraction windows, mandatory barrel-curved CRT edges, and the immutable tait-crt-interface-skill title-bar signature. Never trace, auto-pixelate, imitate photographic detail, omit, merge, or duplicate subjects, retry, resize, expose prompts, or ask users to choose a style preset.
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。
Time-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.
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。