Create publication-quality scientific diagrams using Nano Banana Pro AI with iterative refinement. AI generation is the default method for all diagram types. Generates high-fidelity images with automatic quality review. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
Comprehensive analysis of BigQuery usage patterns, costs, and query performance
Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration.
使用jimeng-mcp-server进行AI图像和视频生成。当用户请求从文本生成图像、合成多张图片、从文本描述创建视频或为静态图像添加动画时使用此技能。支持四大核心能力：文生图、图像合成、文生视频、图生视频。需要jimeng-mcp-server在本地运行或通过SSE/HTTP访问。
Use claude CLI for interactive AI sessions, scripting with print mode, MCP server management, and plugin configuration. Master session management, tool control, and automation workflows.
Create a shareable Claude Code plugin package containing your commands, hooks, output styles, status lines, and agents. Use when you want to package and distribute your Claude Code customizations, create team plugins, or export your personal setup.
Enable AI agents to introspect and control Castella UIs via MCP. Create MCP servers, expose UI resources, handle MCP tools, and use semantic IDs.
Expert skill for AI model quantization and optimization. Covers 4-bit/8-bit quantization, GGUF conversion, memory optimization, and quality-performance tradeoffs for deploying LLMs in resource-constrained JARVIS environments.
Expert skill for integrating cloud AI APIs (Claude, GPT-4, Gemini). Covers secure API key management, prompt injection prevention, rate limiting, cost optimization, and protection against data exfiltration attacks.
Integrate TheSys C1 Generative UI API to stream interactive React components (forms, charts, tables) from LLM responses. Supports Vite+React, Next.js, and Cloudflare Workers with OpenAI, Anthropic Claude, and Workers AI. Use when building conversational UIs, AI assistants with rich interactions, or troubleshooting empty responses, theme application failures, streaming issues, or tool calling errors.
Database integration patterns for Java services using jOOQ and Flyway. Covers code generation, read/write splitting, migration guidelines, and version compatibility. Use when setting up or maintaining PostgreSQL integration.
Version catalog strategy, dependency management, BOMs, and version constraints for Java/Gradle projects. Covers version centralization, never-downgrade policy, bundle patterns, resolution strategies, and compatibility matrices.
AI-friendly documentation generation for Java services following RFC-37 standards. Covers documentation structure, templates, change detection, and RAG optimization. Use when generating or updating service documentation.
RFC-33 compliant gRPC service standards for Java services. Covers protobuf contracts, service implementation, resilience patterns (retry, bulkhead, circuit breaker), and linting. Use when creating or maintaining gRPC services and clients.
Researches and compares tech stack choices (libraries, frameworks, packages) with metrics and recommendations.
Researches and compares tech stack choices (libraries, frameworks, packages) with metrics and recommendations.
Rails MVC patterns, ActiveRecord, conventions, and best practices
