3,116 件 ・ 関連度順
概要と使いどころ
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。
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。
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。
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。
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。
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。
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。
Use when adding support for a new model architecture to imp, porting a model family, or debugging a model that loads but produces wrong output - "add support for <model>", "new arch", loader detection, chat template, tokenizer parity, RoPE variant, "outputs garbage", "prompt-blind", "digits scrambled", "NaN logits", "describes a different picture", "does it fit in VRAM". Do NOT use for kernel performance (sm120-cuda-expert) or quant-format questions (quant-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。
Builds CPR/CDR/severity vectors with scenario analysis across interest rate and economic environments. Use when modeling prepayment behavior, projecting default scenarios, or stress testing pool performance.
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。
Builds fund economic models with sensitivity across deployment pace, exit multiples, and fee/carry structures for LP and GP returns. Use when modeling fund economics, projecting LP net returns, or analyzing fee-adjusted performance.
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。
Tracks infrastructure asset performance with maintenance planning, capital expenditure optimization, and end-of-life valuation. Use when managing infrastructure portfolios, planning capex, or evaluating asset condition.
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。
Structures portfolio company monitoring with monthly financial packages, KPI dashboards, and management assessment frameworks. Use when monitoring portfolio companies, building reporting templates, or tracking financial performance.
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。
Assesses GP track records for secondary pricing with fund-level attribution, unrealized portfolio assessment, and consistency analysis. Use when evaluating GP track records, analyzing fund performance consistency, or assessing manager quality.
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。
Analyzes concession terms with revenue sharing, performance requirements, hand-back conditions, and termination provisions. Use when evaluating concessions, analyzing PPP contracts, or assessing concession economics.
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。
Assesses market receptivity for equity issuance with sector sentiment, volatility, and comparable recent offering performance. Use when timing equity offerings, analyzing market windows, or evaluating issuance conditions.
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。
Assesses underlying asset pools with stratification, concentration analysis, historical performance, and credit quality distribution. Use when analyzing collateral pools, stratifying asset characteristics, or evaluating pool quality.
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。
SolidJS expert including reactivity, components, and store 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。
Rust programming expert including ownership, borrowing, lifetimes, async Tokio patterns, error handling, trait system, performance optimization, testing, and production systems development
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。
Qwik framework expert including resumability, lazy loading, and 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。
Feed actual task results back into agent memory for calibration. Compares predicted vs actual outcomes, records accuracy scores, and tracks estimation quality, prediction quality, and decision quality over time to improve future agent performance.
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。
Content strategy, copywriting frameworks (AIDA/PAS/BAB/4Ps/FAB), editorial calendar management, platform-specific content, A/B testing, campaign planning, audience targeting, and content performance measurement.
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。
Token-range severity zones (Green/Yellow/Orange/Red/Critical) with detection checklist, early warning indicators, and corrective routing actions for context window degradation
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。
Specifies design and user experience guidelines, including dark mode compatibility, responsive design, performance optimization, modern UI, and accessibility. This rule promotes a user-friendly and vi
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。