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Found 1,637 Skills
Help users organize folder structures. Scan directories, classify and archive files, clean up redundancies, output organization plans and execute them. Triggered when users say "organize files", "folders are messy", "archive", "clean up directory", or "/organize".
Manage connectors and integrations using the Cargo CLI. Use when the user wants to list, create, update, or remove connectors, discover available integrations, or understand what connector actions are available for use in workflows.
Review and improve HelixDB query performance and query shape. Use when the task is to optimize a slow Helix query, improve anchor choice, tighten index usage, reduce traversal breadth, slim projections, fix BM25 or vector search scope, or decide between stored and dynamic routes.
Industry / sector panorama report — generates a comprehensive industry overview covering market dynamics, competitive landscape, key players, thematic trends, valuation ranges, and catalysts/risks. Outputs industry sizing, growth rate, major-player market share estimates, and valuation bands. Triggers: "行业概览", "行业报告", "板块报告", "行业全景", "竞争格局", "行业分析", "板块分析", "行業概覽", "行業報告", "板塊報告", "行業全景", "競爭格局", "industry overview", "sector overview", "industry report", "sector analysis", "market landscape", "competitive landscape", "industry sizing", "sector deep dive", "semiconductor industry", "AI sector overview".
Translate TradingView PineScript strategies into vectorized Python strategies suitable for Optuna optimization and walk-forward analysis.
Intelligently organizes files and folders by understanding context, finding duplicates, and suggesting better organizational structures. Use when user wants to clean up directories, organize downloads, remove duplicates, or restructure projects.
OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration.
Build Retrieval-Augmented Generation systems with vector databases
Phoenix framework development guidelines covering LiveView, Ecto, real-time features, and best practices for building scalable web applications with Elixir.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Implement ReasoningBank adaptive learning with AgentDBs 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.