3. Data, Science & AI

Programmatically manipulate PDFs: extract text/tables, create, merge, split, and fill forms for document analysis and data processing.

Provides real-time download statistics and popularity metrics for npm packages, enabling analysis of usage trends and adoption patterns.

Analyzes and visualizes URL capture frequency and archive density over time using Wayback Machine data.

Refines user prompts into structured TCRO format for AI engineering workflows, enhancing input quality before execution in research, planning, and development phases.

Enables universal knowledge storage and semantic retrieval through graph-based memory structures for efficient information organization.

Boosts AI response quality by 45-115% using expert personas, stakes language, and step-by-step reasoning for critical applications.

Provides utilities for implementing on-device AI with Apple's Foundation Models framework, preventing context overflow, blocking UI, and manual JSON parsing.

Expert guidance on database design, optimization, and data modeling for efficient data persistence and query performance.

Logs user corrections and feedback to an AI agent for later review and model improvement.

Creates and refines high-quality prompts for AI models, ensuring reliability and security through grounded mode and prompt-injection hardening.

Monitors AI skill performance, identifies failures, and implements improvements to increase success rates and reliability.

Manages Tenzir packages for data processing, including log parsers, user-defined operators, example pipelines, and integration tests during development.

Automates reliable web content extraction from URLs with bot detection handling using a multi-tier fallback strategy.

Intelligent CLI tool that automatically selects optimal AI patterns for content processing, data analysis, summarization, and threat modeling tasks.

Provides standardized prompt engineering and context design principles for AI agents, optimizing clarity and signal-to-noise ratio per Anthropic best practices.

Provides core identity, operating principles, security protocols, and workflow routing for the Qara AI system, active at all times.

Real-time observability dashboard for multi-agent Claude Code sessions, visualizing interactions, tool usage, and session flows with dual-pane metrics tracking.

Assists in writing TQL code with documentation, including syntax lookup, function reference, and data pipeline construction.

Delegates complex tasks to Gemini AI for codebase analysis, web search, and log processing via iterative CLI or direct MCP calls.

Provides a deterministic wrapper for TONL CLI operations, enabling structured data conversion (JSON↔TONL), querying, schema validation, and statistics generation.

Comprehensive guide for using PostgreSQL's psql terminal client to manage databases, execute queries, and perform administrative tasks.

Enables building AI agents using Azure AI Foundry with tool calling, agent loop implementation, and Azure Functions integration.

Analyzes OpenCode conversation history to identify themes, patterns, and user steering behaviors, delivering actionable insights from session data.

Provides unified access to files, memory, RAG, skills, and snapshots for LLM agents, supporting file operations and state management.