Expert methodology for analyzing and summarizing research papers, extracting key contributions, methodological details, and contextualizing findings. Use when reading papers from PDFs, DOIs, or URLs to create structured summaries for researchers.
Comprehensive Microsoft Excel (.xlsx) document creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization
Comprehensive LaTeX documentation from Wikibooks - server-rendered HTML with full tutorial content
Builds document embedding pipelines with text chunking, embedding generation, indexing, and retrieval optimization. Use when users request "embedding pipeline", "document indexing", "text chunking", "RAG preprocessing", or "semantic indexing".
Semantic search and RAG for documents. Use when user needs to index PDF/DOCX/text files, perform semantic search, extract relevant content from document corpuses, or build RAG applications. Supports multi-corpus search, GPU acceleration, line-level citations, and document conversion with OCR.
Expert in video playback, streaming, and video player customization
Expert in web audio, audio processing, and interactive sound design
Use when user asks YouTube video extraction, get, fetch, transcripts, subtitles, or captions. Writes video details and transcription into structured markdown file.
Audit dictionary usage against the Dictionary Usage Doctrine. Produces a severity-grouped report with minimal refactor suggestions.
Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmarking".
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
Analyzes and optimizes SQL/NoSQL queries for performance. Use when reviewing query performance, optimizing slow queries, analyzing EXPLAIN output, suggesting indexes, identifying N+1 problems, recommending query rewrites, or improving database access patterns. Supports PostgreSQL, MySQL, SQLite, MongoDB, Redis, DynamoDB, and Elasticsearch.
Expert in test-first development of production-quality OpenRewrite recipes for YAML manipulation using LST structure, visitor patterns, and JsonPath matching. Automatically activates when working with OpenRewrite recipe files or Java files in `src/main/java/**/rewrite/**` directories.
Expert in data pipelines, ETL processes, and data infrastructure
Multi-tool orchestration patterns for complex Bluera Knowledge operations. Teaches progressive library exploration, adding libraries with job monitoring, handling large result sets, multi-store searches, and error recovery workflows.
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
Create custom slash commands for popular AI agents (Claude Code, Codex, Gemini CLI). Use when user asks to create slash commands, custom commands, or reusable prompts for AI agent CLIs.
Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".
Use the Ralph Wiggum CLI for autonomous AI coding loops. Use when running ralph commands, setting up autonomous coding workflows, or managing AI agent loops for planning and building features.
Install AI code agent CLI tools including claude-code, gemini-cli, codex, and github copilot-cli. Use when setting up AI coding assistants or when the user asks to install an AI code agent.
