1.7万 件 ・ 関連度順
概要と使いどころ
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
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。
Read your X (Twitter) audience and niche from real data. Pull a handle's recent tweets (yours or a competitor's) with likes, replies, and views, see which formats and hooks are working, read the repliers on a tweet (X gates likers, so repliers are the signal), and scan a niche query for top tweets. Powered by Apify, no login. Triggers on "analyze my tweets", "what is working on X", "read the replies", "competitor tweets", "who is engaging". Not for writing a tweet (use x-post-writer).
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 and rewrite an X (Twitter) profile end-to-end for 2026: bio (160 chars), display name with a searchable keyword, @handle, header image, pinned tweet, link, and location. Triggers on "review my X profile", "fix my bio", "rewrite my Twitter bio", "optimize my header", "pin the right tweet", "X profile audit". Turns a default profile into one that converts visitors into followers. Not for writing tweets (use x-post-writer).
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。
A relentless interview to sharpen a plan or 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。
Drive one ticketed effort through parallel implementation, independent review, serial integration, and one open pull request.
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。
Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
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。
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
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 wants preview QA, failure interpretation, release readiness, or an explicit publish handoff.
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 wants schema preparation, event design, selector validation, schema review, or event-spec 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。
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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。
arkcli 推理接入点管理与显式 raw CRUD 创建能力。**正向触发：用户明确要求脚本化 / CI / 无护栏 / 原始 raw CRUD 创建 Endpoint 时，必须使用本 skill 的 `arkcli infer endpoint create` 路径，不能切到 `arkcli-deploy`**；模型缺失或只有品牌/家族名时仍留在本 skill，先执行实时有界候选与 0/1/N 澄清，模型未唯一确定前禁止 preview 或创建。本 skill 也负责对**已有** Endpoint 做获取、列表、启动、停止、删除、更新，以及在 NotFound 后用当前完整列表 + 历史 usage 判断 ID 是否不完整或仅有历史记录。普通的『创建/新建/部署一个 endpoint』仍走带产品护栏的 arkcli-deploy（`+deploy`），只有用户明确选择上述原始路径才例外。优先使用产品命令 `arkcli infer endpoint ...`，而不是 Raw API。TTS/ASR/语音模型连 raw create 也不要引导，只能转 models search 说明 arkcli 不支持 Endpoint 创建。
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 asked about harness9 architecture, module design, or how components interact — explains the system 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。
Use when the user invokes /cr, requests a code review, or before committing to verify correctness, security, and quality of new or modified code in the working tree.
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 invokes /commit or asks to commit changes, after a code review has been completed and the changes are confirmed ready to stage and commit to git.
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 or reviewing Go code — explains harness9 project coding conventions and patterns
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 single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Use when user says "analyze this page", "check page SEO", "single URL", "check this page", "page analysis", or provides a single URL for review.
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。
Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "local rankings", "service area", "multi-location", or "local search".
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。
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells and produce more human-like writing.
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。
SE Ranking AI visibility analyst (extension). Tracks AI Share-of-Voice across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode in a single query. Highest-impact new extension per the v2 gap analysis — no other vendor covers all 5 AI platforms in one API.
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。
UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.
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。
Apply David Ogilvy's advertising principles when writing or reviewing copy, headlines, product descriptions, landing pages, ads, emails, or any persuasive text. Use when the goal is copy that sells, not copy that wins awards. Covers positioning, headlines, promises, brand voice, long-form copy, and visual logic. Source: How to Create Advertising That Sells (1972) + Ogilvy on Advertising.
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。
Structure compelling design presentations for stakeholders, reviews, and showcases.
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。
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use when prioritizing features, synthesizing user research, writing requirement documentation, or developing product strategy.
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。
When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," "breadcrumb schema," "Google rich results," "knowledge panel," "star ratings in search," or "add structured data." Use this whenever someone wants their pages to show enhanced results in Google. For broader SEO issues, see seo-audit. For AI search optimization, see ai-seo.
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。