Production-grade multimodal content analysis: explicit analysis pipeline (modality → decode → segment → extract → verify → report), evidence and provenance rules (page, time, region anchors), grounded vs inferred claims, failure modes (OCR error, sampling gaps, chart number invention, deepfakes, token limits, locked files), decision trade-offs (summary vs extract vs compare, full read vs stratified sample, human-in-the-loop for high-stakes), quality and anti-hallucination guardrails, structured reports with limitations and confidence — for documents, images, video, and audio. Not a replacement for legal, medical, or forensic experts. Use when the user supplies or points to content to summarize, extract, compare, or audit with traceable evidence. Combine with business-analysis-pro for BRD-style outputs, security-pro for PII/secrets, data-analysis-pro for tabular math on extracted data, web-research-pro for external fact-check, image-processing-pro for raster prep, testing-pro for extraction-regression tests.
System skill for automatic request analysis, prompt optimization, and intelligent routing to skills, workflows, or templates. Instead of calling skills individually, this skill analyzes user input, researches and improves the prompt for clarity and accuracy, identifies relevant skills, workflows, or templates, and coordinates execution. Use this skill when the user provides a general request that needs automatic decomposition, when the prompt needs optimization for better AI understanding, when appropriate skills or workflows need to be identified and executed, or when a template is needed for reports, issues, or other structured outputs. This is a **system skill** - it does not perform domain-specific work but routes to and coordinates **working skills** (chosen using **stack context** — see Stack context resolution; e.g. flutter-pro vs react-pro), **workflows** (/ticket, /debug, /release, etc.), and **templates** (reports, issues, prompts, etc.). Triggers: "route", "analyze", "plan", "break down", "how s
Expert Data Engineering development covering ETL/ELT pipelines, distributed processing (Spark, Flink), message queues (Kafka), and data warehouse architecture (Snowflake, BigQuery).
Expert Data Science development covering statistical analysis, Exploratory Data Analysis (EDA), machine learning (Scikit-Learn), and data visualization.
Expert Machine Learning development covering Deep Learning, PyTorch/TensorFlow, Model Fine-tuning, NLP, and Computer Vision.
Expert Spring Boot development covering REST APIs, Spring Data JPA, Dependency Injection, Security, and Microservices architecture.
Expert Android development covering Kotlin, Jetpack Compose, Coroutines, Flow, and modern architecture patterns (MVVM, MVI).
Expert Blockchain development covering Ethereum (Solidity), DeFi, L2 solutions, Smart Contract security, and Web3 integration.