Skill UI

Analyzes comprehensive fitness logs to track quantitative trends in volume, intensity, and frequency. It tracks progress across multiple disciplines (running, strength) and correlates exercise metrics with vital health indicators like blood pressure and weight, providing personalized, science-backed training and recovery advice.

A systematic auditor designed to evaluate the resilience and quality of complex AI workflows. It scans across five critical dimensions—Prompt Quality, Context Efficiency, Tool Health, Architecture Fitness, and Safety—providing a scored report and prioritized, actionable remediation steps. Use this tool to find hidden flaws and ensure robustness before deploying any AI agent or system.

A utility for scaffolding and verifying fixed evaluation corpora (bench suites). It generates deterministic test suites from existing repositories, decoupling the evaluation process from the repo's natural test suite. This ensures consistent fitness scoring when running evolution pipelines across different commits or forks.

This skill automates the Test-Driven Development (TDD) repair loop. Given a failing unit test, it spawns a bounded, headless LLM agent to automatically modify the source code until the test passes. It closes the development loop by treating the test's pass/fail status as the definitive fitness function, ideal for CI failure triage and local TDD workflows.

A comprehensive tool for sanity-checking research questions intended for Information Systems Research (ISR). It guides users to test the topic's fitness across four dimensions: IT-artifact centrality, sociotechnical framing, intradisciplinary potential, and level of analysis. It helps determine if the topic belongs in ISR or neighboring venues like MISQ or JMIS.

This guide targets the Journal of Physical Education, a CSSCI-level journal emphasizing school physical education, sport humanities, and social science. It is ideal for researchers studying PE reform, youth fitness, and sport policy. Submissions must demonstrate strong theoretical grounding and problem consciousness, analyzing educational, social, or health mechanisms rather than merely summarizing teaching experiences.

Analyzes exercise logs to identify workout patterns, track fitness progress, compute correlations with health metrics like blood pressure and blood glucose, and generate personalized training recommendations.

Provides Apple Human Interface Guidelines for status and progress UI components. Covers progress indicators (determinate/indeterminate), status bars visibility, and activity rings for fitness. Includes accessibility and platform-specific behavior recommendations for iOS, iPadOS, and watchOS development.