seo-2025-expert
Modern Search Engine Optimization with GEO, AI Overviews optimization, and industry-specific strategies for E-commerce, SaaS, Healthcare, Real Estate, Restaurant, Law Firm, Finance, Travel, and Education industries
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7,613 skills indexed with the new KISS metadata standard.
Modern Search Engine Optimization with GEO, AI Overviews optimization, and industry-specific strategies for E-commerce, SaaS, Healthcare, Real Estate, Restaurant, Law Firm, Finance, Travel, and Education industries
ICT-based MNQ futures trading analysis system for MFFU prop firm evaluation. Use when user provides market data (PDH, PDL, FVG levels, liquidity sweeps) and asks for trade analysis, entry/exit points, or bias confirmation. Also handles advanced concepts: breaker blocks, rejection blocks, SMT divergence, Power of 3, Judas Swing, OTE, NWOG, NDOG. Triggers on keywords like "trade setup", "NQ analysis", "entry", "SL", "TP", "bias", "liquidity sweep", "FVG", "order block", "ICT", "MMXM", "MMBM", "MMSM", "market maker model", "smart money reversal", "SMR", "breaker", "rejection block", "SMT", "Power of 3", "Judas swing", "OTE", "opening gap", "NWOG", "NDOG".
Memory consolidation and defragmentation for long-term memory maintenance. Use when asked to consolidate memories, defrag memory, run REM sleep, clean up memory files, or process session logs into durable memory. Also use periodically during heartbeats for memory maintenance.
Memory consolidation and defragmentation for long-term memory maintenance. Use when asked to consolidate memories, defrag memory, run REM sleep, clean up memory files, or process session logs into durable memory. Also use periodically during heartbeats for memory maintenance.
Memory consolidation and defragmentation for long-term memory maintenance. Use when asked to consolidate memories, defrag memory, run REM sleep, clean up memory files, or process session logs into durable memory. Also use periodically during heartbeats for memory maintenance.
Context management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large codebases that need automated indexing and context management.
Smart PRD generator with TaskMaster integration. Detects existing PRDs and offers execute/update/replace options. Generates comprehensive technical PRDs optimized for task breakdown, validates with 13 automated checks, and optionally executes tasks autonomously with datetime tracking and rollback support. Use when user requests "PRD", "product requirements", or mentions task-driven development. Default: PRD generation + handoff to TaskMaster. Optional: autonomous execution with 4 modes.
Context management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large codebases that need automated indexing and context management.
Context management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large codebases that need automated indexing and context management.
Memory preservation for Claude Code sessions. Use when approaching token limits, needing to /reset or /compact, switching between complex tasks, or preserving critical session state before context loss. Creates comprehensive memory dumps at /tmp/total-recall containing current state, decisions, artifacts, and next steps for seamless context restoration.
Refactor HTML/TSX files to use existing UI components, DaisyUI classes, and semantic colors. Use when (1) refactoring React/TSX page components to use reusable UI components, (2) replacing raw HTML elements with component library equivalents, (3) converting primitive Tailwind colors to semantic DaisyUI colors, (4) extracting repeated styling patterns into components.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
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Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
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Interface with Zotero's MCP server to search and retrieve bibliographic data using advanced semantic search and multi-strategy approaches. Designed for output as a plain markdown formatted outline, suitable for pasting into Logseq. Also offers side-by-side translation of Chinese titles and abstracts for improved English language search within Logseq. Context-aware - uses agents in Claude Code, batched searches in Claude Desktop.
2. 算法 链表翻转 异或取数组中的不同数
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Use this skill when users want to generate images using OpenAI's image generation API (DALL-E or gpt-image-1), or extract text from images using OCR. Invoke when users request AI-generated images, artwork, logos, illustrations, visual content from text prompts, or need to extract text/data from images.