Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when reviewing academic papers, conducting literature reviews, formatting citations (APA/MLA/Chicago), or writing research summaries.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.
Configure notification integrations (Telegram, Discord, Slack) via natural language
SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.
Transform raw data into persuasive business narratives using Setup→Conflict→Resolution framework. Templates for problem-solution, trend analysis, and comparison stories. Use when presenting data to stakeholders or building data-driven reports.
Unified design mega-skill for all artifact types: web pages, landing pages, dashboards, UI components, posters, graphics, and interactive artifacts. Combines best practices from frontend-design, ui-ux-pro-max, canvas-design, and web-artifacts-builder with a built-in quality gate.
Security-focused review of code changes (PRs, commits, diffs) with blast radius estimation and adversarial modeling. Seven-phase workflow from triage to final report. Adapted from Trail of Bits methodology.
Full deploy cycle for Docker projects with baked images: sync files, rebuild image, start containers, verify new code, check app health.