aizech

Integrate AI detection into PACS workflow. Also use when setting up, configuring, or optimizing AI detection systems for medical imaging. Also covers Aidoc, Nvidia Clara, Zebra Medical, MaxQ AI, and Qure AI integration.

QA AI outputs, detect false positives/negatives, and validate AI results. Also use when evaluating AI system performance, reviewing AI-assisted findings, or conducting quality assurance on AI detection and reporting tools.

Guidance for AI-assisted structured reporting tools. Also use when the user mentions AI reporting, automated templating, speech-to-report, or wants to configure or optimize AI-assisted radiology reporting systems (RadAI, Abba, DeepRad).

Use LLM APIs for radiology tasks. Also use when integrating medical LLMs (MedPaLM, MedLM, Google Health, Amazon HealthLake) for report analysis, clinical reasoning, or radiology AI workflows.

Assesses medical image quality against clinical standards and identifies optimization opportunities. Use when user mentions "image quality audit", "artifact review", "dose analysis", "protocol deviation", "quality metrics", "diagnostic adequacy", or "technique optimization".

Retrieves and analyzes operational metrics from radiology information systems. Use when user mentions "radiology KPIs", "productivity metrics", "turnaround time analysis", "workload distribution", or needs operational analytics.

Monitors and improves radiology report quality through systematic audit and feedback. Use when user mentions "report quality review", "discrepancy audit", "report completeness", "addendum analysis", or needs quality assurance.

Performs comprehensive review of imaging studies for clinical, QA, tumor board, or comparison purposes. Use when user mentions "review this study", "comprehensive review", "tumor board preparation", "compare with priors", or needs structured imaging analysis.

Create a new skill or improve an existing one. Use when the user wants to capture a workflow as a reusable skill, edit a skill, or optimize its triggering.

Create Scratch 3.0 projects using Python and ScratchGen. Use when the user wants to generate a .sb3 file with sprites, scripts, and assets.

Search across multiple web providers with automatic failover. Use when the user needs quota-aware, multi-provider web search.

Create an audio interview with a selected agent using OpenAI TTS. Generates a single MP3 file with a Q&A podcast session.

Write technical blog posts about real engineering challenges. Use when the user wants technical content, blog posts, tutorials, or explanations for mixed audiences including non-technical readers.

Automate browser interactions for scraping, testing, and workflows. Use when the user wants to navigate pages, fill forms, extract data, or take screenshots with Puppeteer or Playwright.

Build a composable command-line tool from API docs, OpenAPI specs, SDKs, curl examples, or existing scripts. Use when the user wants a durable CLI that future agents can run from any directory.

Create an MCP server that exposes external APIs or services as well-designed tools. Use when building a Model Context Protocol server in Python or TypeScript.

AI image generation using DALL-E, understanding prompt engineering, and creating effective image prompts

Content writing, copywriting, storytelling, and engaging content creation for blogs, articles, and marketing materials

Data analysis, statistical reasoning, quantitative insights, and numerical problem-solving

General assistance, task coordination, practical help, and everyday problem-solving for common tasks

Clinical documentation expertise including SOAP notes, case reports, discharge summaries, and medical record keeping

Information organization, structured note creation, and knowledge structuring for easy retrieval

Search engine optimization, keyword research, content optimization, and web visibility improvement

Text summarization, key point extraction, and information condensation for concise communication