
Claude Skills by majiayu000
github.com/majiayu000Analyzes HTML files for SEO issues using static analysis with cheerio. Checks meta tags, Open Graph, Twitter Cards, heading structure, and JSON-LD structured data. Use when user mentions "SEO check", "meta tags", "og tags", "structured data validation", "SEO audit", or wants to analyze HTML/JSX for SEO compliance.
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," or "SEO health check."
Diagnose and audit SEO issues affecting crawlability, indexation, rankings, and organic performance.
Audit websites for SEO, technical, content, security, JS rendering, and AI readiness using SEOmator CLI. Returns LLM-optimized reports with health scores across 251 rules and 20 categories. Use when analyzing websites, debugging SEO issues, or checking site health.
Analyze a website's SEO visibility, keyword rankings, traffic estimates, and competitive positioning. Uses web search probes, SimilarWeb (free tier via web), and site: queries to build an SEO profile without requiring paid tool subscriptions. Useful for competitive intel, gap analysis, and reverse-engineering a company's organic acquisition strategy.
Email campaign/sequence performance review composite. Pulls campaign data (sends, opens, replies, bounces), reads actual email copy and subject lines, analyzes reply content (objections, positive interest, questions), and produces a diagnostic report covering quantitative metrics, copy quality, lead quality, and actionable recommendations. Tool-agnostic — works with Smartlead (MCP), Instantly, Outreach, Lemlist, Apollo, or CSV data.
Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython. Use when analyzing sequence datasets, generating QC reports, or comparing assemblies.
Systematic step-by-step reasoning with revision and branching. Use for complex problems, multi-stage analysis, design planning, problem decomposition, or encountering unclear scope, alternative approaches needed, revision requirements.
分析已播剧集,包括信息获取、拉片分析、五元素分析及联网搜索。适用于深度分析剧集创作技法、学习情节设计
Use when the user asks to "analyze SERPs"; reviews ranking factors, features, intent, AI Overviews, and snippets. SERP分析/搜索结果
Analyze session transcripts for patterns, mistakes, and improvements. Use when reviewing past work, identifying recurring issues, or summarizing completed sessions. Includes transcript parsing, pattern detection, improvement suggestions, and metrics extraction. Not for live session work.
Debug a specific session by inspecting its full event chain (PreToolUse, PostToolUse, Stop, SubagentStop, Compaction, APIError, TurnDuration, Notification events), agent hierarchy (recursive parent/child tree with subagent_type and depth), token usage with compaction baselines, workflow intelligence data (orchestration DAG, error propagation by depth), and session metadata (thinking_blocks, turn_count, total_turn_duration_ms).
Deep qualitative analysis of high-signal sessions. Spawns subagents with v2 template, synthesizes patterns, compares against known findings. Use after /session-scan.
Analyze past Claude Code sessions to extract patterns, metrics, and recommendations.
This skill should be used when inspecting, analyzing, or querying Claude Code session logs. Use when users ask about session history, want to find sessions, analyze context usage, extract tool call patterns, debug agent execution, or understand what happened in previous sessions. Essential for understanding Claude Code's ~/.claude/projects/ structure, JSONL session format, and the erk extraction pipeline.
Compute metrics for Claude Code sessions. Discovers via ccrider, filters trivial, computes friction/opportunity/fingerprint scores. Use for broad session triage.
Search through historical Claude sessions for code, conversations, and commands. Use when user asks about previous sessions, past conversations, "did I ever", "find in history", or wants to retrieve code/info from earlier chats.
Search and analyze AI coding assistant session history using Terraphim. Find past conversations, discover patterns, and learn from previous work. Supports Claude Code, Cursor, Aider, and other AI coding assistants.
Analyze trends across session metrics. Computes windowed aggregates, deltas, and compares against MEMORY.md findings. Use periodically for progress tracking.
When the user wants to solve set covering problems, determine minimum coverage sets, or optimize facility coverage. Also use when the user mentions "set cover," "minimum set cover," "coverage optimization," "facility coverage problem," "service coverage," "location set covering," "maximal covering location problem," or "covering design." For general facility location, see facility-location-problem. For specific applications, see warehouse-location-optimization or hub-location-problem.
Expert in calculating loss of value to remainder parcels from partial takings including access impairment, shape irregularity, utility loss, and farm operation disruption. Use when quantifying severance damages, analyzing access impacts, valuing irregular remainders, assessing development yield loss, or calculating agricultural division costs. Key terms include severance damages, access impairment, landlocked parcel, shape irregularity, highest and best use loss, development potential reduction
AI-powered digital share of shelf analysis skill. Measures brand visibility within product categories, benchmarks against competitors, and tracks shelf position trends across e-commerce platforms.
Shell methodology scenario planning with worldview elicitation, external scenario construction, actor-relative impact analysis, and rigorous documentation. Use when exploring futures, uncertainty, preparedness, positioning, or other decisions that benefit from multi-scenario reasoning.
Quick cross-project git dashboard — branches, uncommitted changes, sync status, last commits
Analyze shipping cost margins by channel and carrier
Parallel metrics collection using G-6 SIGNAL. Deploy 6 probes to gather metrics from all sources for data-driven decisions.
Apply simplification principles (Occam's Razor) when debugging complex issues, evaluating competing theories, or simplifying designs. Not for ignoring necessary complexity or oversimplifying.
Simulate high-stakes reasoning by modeling how top experts in the relevant domain would think, disagree, and converge on a decision. Use when users ask to role-play strongest minds, compare elite viewpoints, or ask: what would be a good group of people to explore X, and what would they say. Trigger for prompts like "think like world-class experts", "simulate top domain specialists", "role-play strongest domain people", and "use four-lens dialogue".
大型商业网站深度分析工具。基于 neo 项目理念,通过被动捕获 + 主动探索 + 视觉理解,完整解析网站操作逻辑。支持 API 逆向、模式提取、知识库生成。
Audit website sitemaps for AEO optimization opportunities. Use when analyzing site structure, checking indexed URLs, planning content migrations, or when user mentions "sitemap", "site structure", "URL audit", "page inventory", or "content migration".
Audit website sitemaps for AEO optimization opportunities. Use when analyzing site structure, checking indexed URLs, planning content migrations, or when user mentions "sitemap", "site structure", "URL audit", "page inventory", or "content migration".
Discover and extract sitemaps from any website using SitemapKit. Use this skill whenever the user wants to find pages on a website, get a list of URLs from a domain, audit a site's structure, crawl a sitemap, check what pages exist on a site, or do anything involving sitemaps or site URL discovery — even if they don't explicitly say "sitemap". Requires the sitemapkit MCP server configured with a valid SITEMAPKIT_API_KEY.
Анализ структуры схемы компоновки данных 1С (СКД) — наборы, поля, параметры, варианты. Используй для понимания отчёта — источник данных (запрос), доступные поля, параметры
基于当前仓库进行证据驱动的方案审视:先自主探索并阅读相关代码、配置、文档与测试,再提出有依据的质疑,评估优点、缺点、风险、可行性与预期效果,并通过讨论推进决策。用于需要判断当前方案是否可行、效果是否达标、是否应调整技术路线或实现策略时。
Research libraries, APIs, and patterns using searchGitHub and Exa tools. Finds real-world implementations and saves structured reports to docs/research/. Use when investigating technologies, debugging issues, or comparing options.
Research libraries, APIs, and patterns using searchGitHub and Exa tools. Finds real-world implementations and saves structured reports to docs/research/. Use when investigating technologies, debugging issues, or comparing options.
Research Neovim APIs, plugin patterns, and Lua development. Invoke for lua-language research tasks.
Audit websites for SEO, technical, content, security, JS rendering, and AI readiness using SEOmator CLI. Returns LLM-optimized reports with health scores across 251 rules and 20 categories. Use when analyzing websites, debugging SEO issues, or checking site health.
Generate comprehensive executive summaries from workspace communication files using AI analysis with automatic context discovery
Slippage estimation, optimization, and protection for trade execution
Design Service Level Objectives (SLOs) with SLIs, targets, alerting thresholds, and error budget calculations following Google SRE best practices. Use when defining reliability targets, designing SLOs, calculating error budgets, or establishing service level indicators.
Selects optimal sources for tool calls, balancing accuracy with token cost. Use before research tasks or when deciding whether a claim needs verification.
当需要在 X/Twitter 上围绕某个主题收集热门帖子、趋势讨论、KOL 内容、钩子写法、回复驱动内容或社媒情报数据集时使用。适用于内容调研、舆情研究、话题扫描、社媒竞品观察和内容机会分析等场景,优先快速模式,深入采集时再做多轮 DOM 抓取。
Analyzes social media campaign performance across platforms with engagement metrics, ROI calculations, and audience insights for data-driven marketing decisions
Social media monitoring, narrative tracking, and open-source intelligence for journalists. Use when tracking viral content spread, analyzing coordinated campaigns, monitoring breaking news on social platforms, investigating accounts for authenticity, or detecting misinformation patterns. Essential for reporters covering online narratives and digital investigations.
Create comprehensive social media analytics reports with insights and recommendations
Monitor Twitter accounts (151 tracked), detect mentions, analyze engagement, and identify interaction opportunities. Use when tracking Twitter activity, monitoring mentions, analyzing social metrics, or managing social media presence.
Rapid cross-domain assessment using 18-series SOF Operators. Deploy 7 probes for immediate situational awareness before task force assembly.
Cognitive operating system for structured thinking with confidence tracking. Use when starting complex tasks, making decisions, or needing verification. Triggers on "how confident", "verify this", "alternative approach", "what could go wrong", "think through", confidence questions, or multi-step reasoning tasks.
Use when the user has a proposal, position, or design and wants it adversarially pressure-tested before committing.