全部能力

This skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin…

Generate STAR stories, practice questions, and talking points from resume

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured…

animation-principles---troubleshooting — an installable skill for AI agents, published by dylantarre/animation-principles.

Identify unusual patterns, outliers, and anomalies in data using statistical methods, isolation forests, and autoencoders for fraud detection and quality…

This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks",…

Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and…

Master Python syntax, data types, control flow, functions, OOP, and standard library

Build recommendation systems using collaborative filtering, content-based filtering, matrix factorization, and neural network approaches

Master Python optimization techniques, profiling, memory management, and high-performance computing

Plan multi-step workflows using capability graph and Codex-powered goal decomposition with HTN-style hierarchical task planning.

Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis

Dispatch code-reviewer subagent to review implementation against plan or requirements before proceeding

Standards for creating new High-Density Agent Skills with optimal token economy.

Build collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagement

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning…

Meta-cognitive self-learning system - Automated skill evolution based on predictive coding and value-driven mechanisms.