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Found 27 Skills
Detect patterns, anomalies, and trends in code and data. Use when identifying code smells, finding security vulnerabilities, or discovering recurring patterns. Handles regex patterns, AST analysis, and statistical anomaly detection.
Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to "humanize", "naturalize", or "remove AI feel" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific + 14 universal) and 4 style markers.
Reviews React Flow code for anti-patterns, performance issues, and best practices. Use when reviewing code that uses @xyflow/react, checking for common mistakes, or optimizing node-based UI implementations.
Skill for detecting institutional order flow patterns (absorption, exhaustion, imbalance, sweep) from L2 market depth and trade data.
Guides creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Activate on keywords: create skill, review skill, skill quality, skill best practices, skill anti-patterns, improve skill, skill audit. NOT for general coding advice, slash commands, MCP development, or non-skill Claude Code features.
Advanced error analysis and pattern detection specialist for identifying, analyzing, and preventing software errors
Audit project directory structure for colocation, grouping, and anti-patterns. Use when creating files, organising components, or deciding where code should live.
Identifies and removes signs of AI-generated text to make writing sound more natural and human. Use when the user asks to humanize text, make writing sound more natural, remove AI patterns, edit for human voice, or convert AI-generated content to natural prose. Also triggers on requests to check for AI writing patterns, review text for robotic language, or improve writing authenticity. Based on Wikipedia's "Signs of AI writing" guidelines.
Remove AI-generated jargon and restore human voice to text. Built from analyzing 1,000+ AI vs human content pieces.
Analyze application logs for performance insights and issue detection including slow requests, error patterns, and resource usage. Use when troubleshooting performance issues or debugging errors. Trigger with phrases like "analyze logs", "find slow requests", or "detect error patterns".
Validates code against coding standards and best practices. Reports compliance violations and suggests fixes.
Remove signs of AI-generated writing from text. Use when editing or reviewing any content to make it sound more natural and human-written. Catches patterns like inflated language, rule of three, em dash overuse, vague attributions, copula avoidance, negative parallelisms, synonym cycling, filler phrases, excessive hedging, and soulless structure. Use when someone says "humanize this", "this sounds like AI", "make this sound human", "remove the AI", "clean this up", "de-AI this", "this reads like ChatGPT", or when reviewing any AI-assisted draft before publishing. Also use as a final pass on content from other skills like boring-remix or social-content. World Code integrated — applies voice.md rules when available.