Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
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。
Asymmetric-al/core☆ 3812026年10月12日 更新
Detect and map data silos in construction organizations. Identify disconnected data sources and integration 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。
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction☆ 3492026年8月22日 更新
Analyze labor productivity by trade, activity, and location. Track efficiency and identify improvement 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。
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction☆ 3492026年8月22日 更新
Maps the full customer journey from first touch to advocacy. Generates a comprehensive customer-journey.md with all stages, touchpoints, emotions, pain points, opportunities, Mermaid diagrams, and metrics. Use when mapping customer experience, designing onboarding flows, identifying churn risks, or optimizing conversion funnels.
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。
OneWave-AI/claude-skills☆ 3402026年10月2日 更新
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
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。
lingxling/awesome-skills-cn☆ 3062026年10月7日 更新
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership 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。
lingxling/awesome-skills-cn☆ 3062026年10月7日 更新
Use when a contributor wants to move beyond simple bug fixes into architectural improvements, technical debt discovery, design proposals, or module ownership 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。
majiayu000/spellbook☆ 2872026年10月8日 更新
Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.
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。
nicepkg/ai-workflow☆ 2852026年1月20日 更新
Use this skill to find high-quality dividend growth stocks (12%+ annual dividend growth, 1.5%+ yield) that are experiencing temporary pullbacks, identified by RSI oversold conditions (RSI ≤40). This skill combines fundamental dividend analysis with technical timing indicators to identify buying opportunities in strong dividend growers during short-term weakness.
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。
nicepkg/ai-workflow☆ 2852026年1月20日 更新
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. Use when working with multi-step user journey data, conversion analysis, or when user mentions funnels, conversion rates, or user flow analysis.
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。
nicepkg/ai-workflow☆ 2852026年1月20日 更新
Ad Performance Auditor — analyze existing ad campaigns and identify optimization 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。
zubair-trabzada/ai-ads-claude☆ 2682026年4月8日 更新
Act! 365 integration. Manage Contacts, Groups, Opportunities, Tasks, Users. Use when the user wants to interact with Act! 365 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。
membranedev/application-skills☆ 2672026年4月28日 更新
Analyzes a repository and its test suite to generate customized mutation operators tailored to the project. Use this skill when setting up mutation testing, improving test quality, or generating project-specific mutants. Considers language constructs, business logic patterns, API calls, data types, and code complexity to produce effective mutation operators that maximize test sensitivity while avoiding trivial or equivalent mutations. Generates prioritized operator sets (high/medium/low value) with impact summaries. Triggers when users ask to generate mutation operators, customize mutation testing, analyze code for mutation opportunities, or create project-specific mutants.
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。
ArabelaTso/Skills-4-SE☆ 2532026年8月21日 更新
Profile programs at the function/method level to identify performance hotspots, bottlenecks, and optimization opportunities. Records execution time, memory usage, and call frequency for each interval. Generates actionable recommendations and visualizations. Use when users need to (1) analyze program performance, (2) identify slow functions or bottlenecks, (3) optimize execution time or memory usage, (4) profile Python, Java, or C/C++ programs with test cases or workload scenarios, or (5) generate performance reports with flame graphs and recommendations.
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。
ArabelaTso/Skills-4-SE☆ 2532026年8月21日 更新
Identify design quality issues in code including high coupling, low cohesion, God classes, long methods, and other code smells. Use when: (1) Reviewing code architecture and design quality, (2) Identifying refactoring opportunities, (3) Detecting God classes or classes with too many responsibilities, (4) Finding high coupling or low cohesion issues, (5) Analyzing code maintainability and technical debt. Detects coupling smells, cohesion problems, complexity issues, size violations, and encapsulation problems with actionable refactoring suggestions.
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。
ArabelaTso/Skills-4-SE☆ 2532026年8月21日 更新
Analyze codebases to identify reusable code patterns, duplications, and implementation patterns for future development. Use when refactoring code, identifying technical debt, finding opportunities for abstraction, or documenting common patterns in a directory or module. Outputs pattern catalogs, refactoring suggestions, and reusable template 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。
ArabelaTso/Skills-4-SE☆ 2532026年8月21日 更新
Create Quarterly Business Reviews with account health scores, usage analytics, ROI analysis, expansion opportunities, and risk mitigation
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。
w95/awesome-claude-corporate-skills☆ 2462026年2月27日 更新
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership 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。
w95/awesome-claude-corporate-skills☆ 2462026年2月27日 更新
Threads Content Specialist. Writes Threads-native posts — short, direct, opinion-led, made for conversation. Strictly enforces the 500 character limit with a count on every post. Supports standalone posts and threads (connected posts). Reads brand-style.md and content-calendar.md. Flags infographic opportunities for /publisher. Output to outputs/threads/.
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。
stevenflanagan1/social-ai-team☆ 2462026年10月7日 更新
Audit component performance and identify optimization opportunities with actionable 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。
alamenai/terrae☆ 2442026年4月7日 更新
Extract and consolidate reusable components, design tokens, and patterns into your design system. Identifies opportunities for systematic reuse and enriches your component library.
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。
zacharyfmarion/openscad-studio☆ 2402026年8月20日 更新
Profile and debug Hermes sessions from their JSONL transcripts. Find a session and its subagents, build a queryable event table, summarize the work as a hierarchical table of contents, break down wall time, inference, tools, tokens, and estimated cost per agent, identify errors and improvement opportunities, and export a shareable Perfetto trace. Use when a user wants to inspect what a Hermes session did, debug agent or subagent activity, understand session cost or latency, create a session timeline, generate a trace, or learn how to improve the next agent run.
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。
tamdogood/builder-essential-skills☆ 2222026年8月17日 更新
Run a cumulative daily or retrospective sweep of research papers on a chosen topic, audit their claims, methods, integrity signals, and independent support, then identify overlooked but feasible project or business opportunities in a detailed source-grounded report. Use when asked to monitor papers every day, mine buried research, evaluate whether a paper is credible or reproducible, find unimplemented research ideas, or separate promising work from hype, weak evidence, and retracted or contradicted results.
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。
tamdogood/builder-essential-skills☆ 2222026年8月17日 更新
Research industry newsletters, email publications, and WeChat articles to discover content leaders, track topics, and identify distribution opportunities. Covers newsletter discovery, content analysis, audience research, and partnership prospecting.
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。
sandbaseai/sandbase-skills☆ 2042026年9月26日 更新