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概要と使いどころ
On-page SEO optimization techniques including keyword density, meta tags, heading structure, and readability. Use when optimizing existing content or validating new content against SEO requirements.
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。
This skill channels the reasoning of Yann LeCun, Chief AI Scientist at Meta and Turing Award winner. Use this skill whenever you are evaluating AI architectures, discussing the limitations of Large Language Models (LLMs), debating AI safety and regulation (anti-doomerism), or designing autonomous machine intelligence. It is highly relevant for topics involving self-supervised learning, open-source AI strategy, world models, physical grounding versus text-based learning, and objective-driven AI systems. Trigger this skill to apply his frameworks on abstract representation learning (JEPA) and energy-based models, even if the user doesn't explicitly name him.
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。
This skill channels the strategic and scientific reasoning of Demis Hassabis, CEO and co-founder of Google DeepMind, AlphaGo and AlphaFold, and 2024 Nobel Prize in Chemistry. Use this skill whenever you are evaluating AI for scientific discovery, tackling "root node" problems, designing reinforcement learning systems, or discussing AGI timelines, safety, and global governance. Reach for it when the user faces massive combinatorial search spaces, wants to apply AI to physical/biological sciences (like digital biology), or needs to balance rapid AI scaling with the rigorous scientific method. Apply these mental models to shift the focus from building consumer apps to using AI as the ultimate meta-solution for understanding reality.
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 adding or changing what the rezolus viewer exposes — an /api/v1 endpoint, a dashboard section, the metric catalog, metadata/description derivation, or the frontend data those depend on — or when editing src/viewer/ or crates/viewer/, or reviewing a viewer change. The viewer ships as two separate Rust backends (server + WASM) behind one shared frontend; changing one silently diverges them.
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/B Testing Plan Generator. Creates structured testing roadmaps with prioritized test sequences, duration calculators, sample size requirements, statistical significance thresholds, hypothesis templates, and 90-day testing calendars for Meta, Google, and LinkedIn.
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 Ads Funnel Architect. Builds a complete advertising funnel across TOFU, MOFU, BOFU, and Retargeting stages with platform-specific templates, audience targeting, ad formats, copy angles, landing page requirements, KPIs, and budget allocation for Meta, Google, and LinkedIn.
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。
Fix silent data loss when mutating Nostr replaceable events (Kind 0 profile, Kind 3 contact/follow list, Kind 10002 relay list, etc.) in client apps. Use when: (1) Following someone wipes the user's entire follow list, (2) Updating profile metadata loses existing fields, (3) Fresh browser session or mobile login causes data loss on first action, (4) Replaceable event mutation uses stale or null cached state. Root cause: Nostr replaceable events are full-replace (no partial update), so publishing based on stale/unloaded cache overwrites the canonical version. Applies to any Nostr client using React, Flutter, or similar reactive frameworks where query state may not be loaded when a mutation fires.
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。
Fix silent video/media processing failures caused by URL extraction code that filters on file extensions (.mp4, .webm, .webp). Use when: (1) Media moderation, transcoding, or analysis silently skips files from Blossom or content-addressed storage servers, (2) URL extraction from Nostr event tags (imeta, r tags) drops URLs without recognized extensions, (3) CDN fallback URLs append .mp4 but the actual server uses extensionless content-addressed paths like /{sha256}. Common in Nostr video events (kind 34236) where different clients use different URL formats.
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, calibrate, layer, and validate production Blender materials including bare and coated metal, brushed steel, rust, aged and wet wood planks, stone, concrete, plastic, glass, fabric, water, dirt, moss, and wetness. Use when material identity, UV direction, real-world texture scale, PBR channel handling, roughness response, anisotropy, normal/bump/displacement, transmission, volume absorption, aging, or surface layering determines realism.
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。
Optimize website content for search engine visibility and user engagement. Conduct keyword research, implement on-page SEO tactics, analyze content gaps, write compelling meta descriptions, and develop internal linking strategies.
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。
Per-test JSON result files with metadata, versions, and infrastructure details
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 engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under `./Store`. Optionally pairs with promotional text updates.
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 an end-to-end AI4S research pipeline — broad direction or specific topic in, full research package out (exploration + literature survey + experiment + paper). Meta-skill that chains the four downstream skills in order. Pure markdown, no Python runtime.
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。
Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.
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 paid-ad landing pages for message match, mobile experience, performance, accessibility, trust, forms, consent, tracking, security, and conversion friction. Use for landing-page audit, post-click experience, LP audit, conversion-rate optimization, form optimization, ad-to-page message match, redirects, blocked navigation, or requests involving private, loopback, link-local, or metadata IP destinations.
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。
Extracts executable task definitions from Markdown files and runs them as shell pipelines. Parses fenced code blocks with task metadata annotations and manages dependencies between 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。
Use when the user wants a research-paper figure Skill Factory: build, patch, package, or use reusable specialized paper-figure-making skills from lawful literature/corpus evidence. Generated skills must use a specialized-skill-first workflow, full-feasible local PDF coverage where available, startup-plan-only first replies, target-paper candidate/final image isolation, mandatory image-embedded visual-structure explanation, mandatory non-target concept/modeling example display for abstract visual decisions, saved subtype/style illustration atlases, ChatGPT web Create image / ChatGPT Images 2.0 rendering, Codex $imagegen-first rendering, sample-image transfer rules, all-step/current-position state footers, and a mandatory first-round diverse candidate board followed by P6b/P6c paper-local best-practice optimization before final prompt construction.
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 competitor paid-ad presence, messaging, creative, formats, landing pages, keyword and auction signals, transparent ad libraries, and strategic gaps across supported platforms. Use for competitor ads, ad libraries, ad spy, competitive PPC analysis, competitor creative, Google Ads Transparency, Meta Ad Library, or paid-media competitor 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。
SEO optimization with keyword analysis, readability assessment, technical validation, content quality. Use for search rankings, blog posts, content audits, or encountering keyword density, readability scores, meta tags, schema markup errors.
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。
Nuxt SEO v5 modules (robots, sitemap, og-image, schema-org, link-checker, seo-utils, site-config). Use when implementing SEO, robots.txt, sitemaps, Schema.org, or meta tags in Nuxt 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。
| Nuxt 4 core framework fundamentals: project setup, configuration, routing, SEO, error handling, and directory structure. Use when: creating new Nuxt 4 projects, configuring nuxt.config.ts, setting up routing and middleware, implementing SEO with useHead/useSeoMeta, handling errors with error.vue and NuxtErrorBoundary, or understanding Nuxt 4 directory structure.
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 for Bun file I/O: Bun.file, Bun.write, streams, directories, glob patterns, metadata.
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 packaging Docker deployments as 1Panel local app store apps, including GitHub projects, docker-compose.yml files, docker run commands, app metadata, version directories, icons, README files, and 1Panel 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。
Inspect, extract, OCR, create, merge, split, reorder, rotate, annotate, fill, redact, compress, secure, and verify PDF documents while preserving source files and visual fidelity. Use when working with one or more .pdf files; converting documents to or from PDF; extracting text, tables, images, metadata, forms, or page ranges; applying true redactions or signatures; diagnosing malformed, encrypted, scanned, or inaccessible PDFs; or validating that a PDF transformation preserved the intended content and layout.
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。