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概要と使いどころ
"Implement text summarization using extractive and abstractive approaches. Use this skill when the user needs to condense long documents, build an automatic summarization pipeline, or compare summarization strategies — even if they say 'summarize this document', 'TLDR', or 'key points extraction'.".
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 exponential smoothing methods for time series forecasting with weighted moving averages. Use this skill when the user needs simple, robust forecasts, implement Holt-Winters for seasonal data, or build lightweight forecasting without complex models — even if they say 'simple forecast', 'moving average prediction', or 'smoothing method'.".
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。
Evaluate LLM agents and tool-using workflows—task success, tool accuracy, latency/cost, safety, and regression suites. Use when shipping agent features, comparing prompts/models, or debugging agent failures.
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。
"Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction. Use this skill when the user needs to rank products by ratings, sort content by approval rate, or build a 'best rated' list that accounts for sample size — even if they say 'rank by star rating', 'best rated with few reviews', or 'confidence-adjusted rating'.".
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 bundle pricing strategies using pure bundling, mixed bundling, and consumer surplus analysis. Use this skill when the user needs to set prices for product bundles, determine whether bundling increases profit, or analyze unbundling opportunities — even if they say 'should we bundle these products', 'bundle pricing', or 'package deal pricing'.".
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。
Configure, diagnose, or optimize the persistent OpenClaw fleet, native CLI routing, skill loading, run evidence, and context recovery. Use for orchestration operations; product implementation uses its own relevant skills.
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。
Meaning-first animation with 3-tier hierarchy. CSS scroll-driven (animation-timeline: scroll()), View Transitions API, @starting-style DOM-insert, container scroll-state queries, prefers-reduced-motion mandatory on all 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。
The consolidated, world-class Cloudflare + integrations reference — CF platform/data/AI-edge patterns, media pipeline, observability/growth, payments, and the site-generation pipeline. The non-inferable choices that build the greatest web apps.
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。
One-line-prompt → cinematic, gorgeous, functional, well-tested, deployed website. Pre-hydrated SPA + full PWA kit + JSON-LD rich snippets + third-party integrations. React 19+Vite default (Angular optional). 100 concrete improvements grouped into 10 categories that EVERY single-prompt site build must satisfy before being marked done. Trigger whenever the user says 'make a website for X', 'build a site for X', 'rebuild X.com', or any equivalent one-liner.
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。
Every delivered app — the non-inferable business requirements + exact stack/brand choices every build must satisfy. Loads on every app/site build.
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。
Captures and evolves user preferences with confidence levels. Maintains Voice of the Customer model with exact language, dissatisfaction and aspiration signals. Handles promotion/demotion, global vs project scoping, auto memory system, and Omi wearable data integration.
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。
MANDATORY deploy after every code change. Typecheck → deploy → purge CDN → E2E on production → visual verify → fix-forward loop. Workers Builds native CI/CD, D1 Time Travel PIT recovery, D1→R2 long-term backups, wrangler rollback, wrangler secrets management, structured observability, cross-browser smoke tests, rollback procedures, and GitHub auto-configuration.
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。
How every delivered app ships and stays up — Cloudflare-first hosting, prod-only (no staging), the deploy→prod-verify loop, atomic deploy + rollback.
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。
Cloudflare-first platform selection. Decision trees for Workers, D1, R2, KV, DO, Queues, Vectorize, Containers, Sandboxes, Flagship, Agent Memory, Workflows v2. Default stack, override conditions, auth, data patterns, reliability.
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。
Speed, accessibility, and testing bars every delivered app must clear — Core Web Vitals, WCAG 2.2 AA, TDD real-browser E2E, and the build-fail gates.
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。
Anti-AI-slop design system for distinctive, premium interfaces. Bold typography, dark-first #060610, fluid clamp() type, cascade layers + native nesting + container queries, OKLCH color, @starting-style, View Transitions API, DTCG tokens.
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。
23-category product-building OS. CF Workers+Hono, React 19+Vite / Angular 22+Spartan, D1, Drizzle, Clerk, Square/Stripe. 149 reference docs, 28 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。
Copy + discoverability requirements every delivered app must meet — real-brand extraction, anti-slop voice, per-page SEO/JSON-LD, pSEO, GEO/AI-search, truth/citations, competitor floor, i18n, trust surfaces.
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。
Implements features in vertical slices, always starting with homepage. Enforces anti-placeholder rules — no lorem ipsum, no TODO stubs, no gray boxes. Real content, real images, real interactions. TypeScript strict mode, Zod validation, and structured file organization.
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。
What every delivered app must DO — anti-placeholder, complete features, working forms, psnotify notifications, feature flags, embarrassingly-easy UX, the feature catalog.
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。
Supreme policy layer governing all agent behavior. Autonomy, one-line prompt interpretation, speed standards, emphasis signal processing, cross-skill coordination, done definitions, conflict resolution. Loaded every prompt.
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。
End-to-end AI website generation pipeline. Claude Opus 4.8 emits Bolt-style <boltArtifact> envelopes (multi-file, plan-first) that customize Vite+React+Tailwind templates from pre-researched business data. Pre-research via APIs, media acquisition, brand extraction, visual inspection via GPT Image 2 vision, R2 upload (per-file content-type by extension), D1 status updates. Supports all business types: SaaS, portfolio, non-profit, restaurant, salon, medical, legal, retail, tech.
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。
Section-by-section media planning and generation. Image generation (GPT Image 2 primary, built-in fallback), logo/icon generation (Ideogram v3 → favicon set), video generation (Veo 3.1), social preview images (OG 1200x630 + AI search optimization), stock photo curation (Pexels, Pixabay), critique/remix loops (max 3 rounds), asset compression pipeline, and media performance budgets.
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。
Extract real brands (Wayback for rebuilds). Copy system, headline/CTA rules, trust surfaces, legal pages, SEO+structured data, anti-AI-slop, microcopy, DESIGN.md, W3C DTCG tokens, pSEO 5 types, GEO/AI 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。