3. Data, Science & AI

Queries local Weaviate instances using semantic search, filters, and RAG to retrieve contextually relevant data efficiently.

Establishes and validates a connection to a local Weaviate vector database for AI/ML data operations.

Searches and browses ComfyUI node registry to find nodes by keyword, author, pack, or category for AI image generation workflows.

Edits ComfyUI workflow JSON to add nodes, connections, ControlNet, LoRA, and upscaling for custom AI image generation workflows.

Analyzes ComfyUI workflows to understand node connections, trace upstream/downstream nodes, and interpret workflow JSON for AI image generation tasks.

Synthesizes implementation plans by analyzing multi-agent debate reports through external AI review, enabling consensus-driven decision-making.

Synthesizes consensus implementation plans from multi-agent debate reports using external AI review for decision support.

Integrates PostHog analytics, feature flags, and session replay for Next.js apps, enabling event tracking, A/B testing, and analytics reporting.

Detects interlaced video content and telecine artifacts, such as combing, to determine if deinterlacing is required.

Expert guidance for building and extending data pipelines with Dagster, including assets, schedules, testing, and dbt/dlt/Sling integrations.

Automates Dagster project setup with uv virtual environment, enabling immediate execution of data pipeline commands like `dg dev`.

AI-powered image and video generation from text descriptions, supporting text-to-image, image synthesis, text-to-video, and image-to-video capabilities.

Automates Excel report generation from data sources using pandas and openpyxl for data analysis and business reporting.

Enables API integration for SiliconFlow's AI services including large language models, image generation, and vector models within Claude Code.

Executes multi-agent workflows with NTM, Agent Mail, Beads, and BV using predefined prompts for AI agent coordination.

Provides persistent memory for AI agents to save and recall context, goals, decisions, and lessons with semantic search across sessions.

Debugs AI traces, analyzes sessions, manages prompts, and configures Langfuse MCP for AI development and monitoring.

Extracts webpage content, metadata, and images, then structures data for migration to Adobe Experience Manager (AEM) Edge Delivery Services.

Analyzes scraped webpage content to identify section boundaries and content sequences for AEM Edge Delivery Services import.

Analyzes Wispr Flow voice dictation data, providing statistics, search, export, and visualizations for user history and word counts.

Tests Model Context Protocol (MCP) servers using CLI with correct syntax for AI model integration and validation.

Toolkit for reading, creating, editing, and analyzing spreadsheet data with visual quality control, supporting formulas, formatting, and in-sheet charts.

Toolkit for spreadsheet data processing, analysis, and visualization with formula support and formatting capabilities.

Captures user intent through guided conversational flows, enabling precise understanding of user needs in exploratory interactions.