5,340 件 ・ 関連度順
概要と使いどころ
Agno is a high-performance Python framework for building, running, and managing agentic software at scale. It provides a three-layer architecture — framework, runtime, and control plane — enabling developers to go from agent prototype to production API in roughly 20 lines of code.
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。
Expert SEO content strategy for SaaS and B2B sites. Use when doing keyword research, planning content clusters, creating pillar pages, optimizing on-page SEO, fixing technical SEO issues, building links, refreshing content, implementing programmatic SEO, mapping search intent, optimizing for SERP features, or measuring content performance. Use for SEO audits, content gap analysis, and organic growth 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。
Structured review process for Remotion video implementations. Analyzes spec compliance, detects common timing/easing issues, validates asset quality, and provides prioritized revision lists. Use when reviewing Remotion code against design specs or performing quality assurance on video compositions. Trigger phrases "review video code", "check spec compliance", "audit Remotion implementation".
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。
Expert customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.
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。
Architect a feature with the Carmack Council before writing code. Use when explicitly asked to plan a feature, do a "council plan", "carmack plan", or invoke /council-plan. Carmack's philosophy chairs a council of domain experts — Troy Hunt (security), Martin Fowler (refactoring), Kent C. Dodds (frontend), Matteo Collina (Node.js), Brandur Leach (Postgres), Vercel Performance, Simon Willison (LLM pipeline), Karri Saarinen (UI quality), Vitaly Friedman (UX quality). Interactive feature discovery followed by parallel subagent dispatch. Produces a sequenced, attributed implementation plan with no code. Stack: Next.js App Router / React / TypeScript / tRPC / Prisma / Neon / Clerk.
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。
Helps users set up and run MobiZen-GUI to perform mobile-use tasks — automating Android phone operations via natural language. Use when the user wants to control a phone, execute mobile-use tasks, install/configure MobiZen-GUI, deploy MobiZen-GUI-4B model, or customize the agent's input/output. Triggers on keywords like phone task, mobile-use, mobile automation, Android control, MobiZen, ADB, deploy model, run agent, configure model.
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 suite for processing YouTube videos. Use this when the user needs to: (1) Extract transcripts, (2) Generate visual infographics, (3) Create audio summaries (TTS) and videos, or (4) Perform full 'kitchen sink' processing of YouTube content.
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 says 'analyze my wordpress site', 'what is running on my site', 'site dna', or 'what plugins are on my site'. Detects every page builder, audits active versus dead-weight plugins, maps content structure, finds orphaned shortcodes, and checks performance and security posture.
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 to audit, score, or health-check a WordPress site or page. Runs SEO, AEO, readability, accessibility, performance, RankMath, and Core Web Vitals analyzers and presents a unified report with prioritised fixes.
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 says 'fix my catalog for ai', 'improve my ai readiness score', 'get my catalog to 90', or 'my products keep getting rejected by google'. Runs an ordered fixlist that writes the missing alt text, descriptions, brands, GTINs, and category mappings, snapshotting before each change.
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 says 'optimize my wordpress images with ai', 'compress and optimize all images', 'audit my media library', or 'improve image performance'. Downloads images, compresses, converts to WebP, resizes and renames locally, re-uploads, and updates every content reference.
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。
Produces a rigorous, forward-looking technical audit with severity ratings and improvement directions.
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。
Frontend patterns: component design, state management, performance, accessibility. Use when building web frontends, components, or client-side 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。
Systematic debugging methods, log analysis, and performance diagnostics. Use when debugging issues, analyzing errors, or troubleshooting incidents.
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 the AI tells readers react to in a Threads post: 2026 vocabulary by density, reveal bridges, staccato stacks, stacked triads, performed sincerity. Also --mode audit (500-char fit, hook, hashtag cap), --mode profile (learns how you write) and --mode interview (fills your Story Bank: the numbers, turning points and stories posts are made of). Not for writing from scratch (use threads-post-writer). Keywords: humanize, de-AI Threads post, interview me, audit before posting.
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 SEO analysis for any website or business type. Performs full site audits, single-page deep analysis, technical SEO checks (crawlability, indexability, Core Web Vitals with INP), schema markup detection/validation/generation, content quality assessment (E-E-A-T framework per Dec 2025 update extending to all competitive queries), image optimization, sitemap analysis, and Generative Engine Optimization (GEO) for AI Overviews, ChatGPT, and Perplexity citations. Analyzes AI crawler accessibility (GPTBot, ClaudeBot, PerplexityBot), llms.txt compliance, brand mention signals, and passage-level citability. Industry detection for SaaS, e-commerce, local business, publishers, agencies. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "page speed", "structured data".
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。
Prerequisites and connection details for attaching to a live Python process with PyFlightProfiler. Read this skill first before using any other PyFlightProfiler command (watch, trace, stack, perf, etc.).
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。
Look up junior.guru web analytics (traffic, pageviews, visitors, top pages, referrers, countries, UTM sources, devices, events) via public Simple Analytics, and Google search performance (queries, impressions, clicks, positions, CTR) from Search Console data saved in the repo. Use whenever a task needs data about website visits, page popularity, SEO, or what people search for.
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 the open-source free `Meziantou.Analyzer` package for design, usage, security, performance, and style rules in .NET. Use when a repo wants broader analyzer coverage with a single NuGet package.
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 webhint in .NET repositories that ship browser-facing frontends. Use when a repo needs CLI audits for accessibility, performance, security headers, PWA signals, SEO, or runtime page quality against a served site or built frontend output.
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 MCAF non-functional-requirements guidance to capture or refine explicit quality attributes such as accessibility, reliability, scalability, maintainability, performance, and compliance. Use when a feature or architecture change needs explicit quality attributes and trade-offs.
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 Milvus vector database with pymilvus Python SDK. Use when the user wants to connect to Milvus, create collections, insert vectors, perform similarity search, hybrid search, full-text search, manage indexes, partitions, databases, or RBAC via Python code.
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 web traffic, SEO performance, and search engine trends using Google Search Console, Google Analytics 4, and Bing Webmaster Tools. Use when the user asks to analyze traffic, check SEO, or find keyword opportunities.
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。
Verify a competitive programming or LeetCode solution for correctness, edge cases, and performance. Use when asked to "verify my solution", "check my code", "is this solution correct", "test my solution", "review my competitive programming answer", "validate my algorithm", or any solution verification 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。