Set up App Store privacy nutrition labels (data collection declarations) for an app. Use when the user needs to declare what data their app collects, how it's used, and whether it's linked to the user. Handles both "no data collected" and full data collection declarations.
Connect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores) into responses. Requires a BCI wearable (Muse 2/S or OpenBCI) and the NeuroSkill desktop app running locally.
Optimize Lindy AI costs and manage usage efficiently. Use when reducing costs, analyzing usage patterns, or optimizing budget allocation. Trigger with phrases like "lindy cost", "lindy billing", "reduce lindy spend", "lindy budget".
Password Strength Analyzer - Auto-activating skill for Security Fundamentals. Triggers on: password strength analyzer, password strength analyzer Part of the Security Fundamentals skill category.
Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.
分析营养数据、识别营养模式、评估营养状况，并提供个性化营养建议。支持与运动、睡眠、慢性病数据的关联分析。
分析职业健康数据、识别工作相关健康风险、评估职业健康状况、提供个性化职业健康建议。支持与睡眠、运动、心理健康等其他健康数据的关联分析。
分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。
AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。
Analyze and reclaim macOS disk space through intelligent cleanup recommendations. This skill should be used when users report disk space issues, need to clean up their Mac, or want to understand what's consuming storage. Focus on safe, interactive analysis with user confirmation before any deletions.
Guide for adding a new benchmark or training environment to NeMo-Gym. Use when the user asks to add, create, or integrate a benchmark, evaluation, training environment, or resources server into NeMo-Gym. Also use when wrapping an existing 3rd-party benchmark library. Covers the full workflow: data preparation, resources server implementation, agent wiring, YAML config, testing, and reward profiling (baselining). Triggered by: "add benchmark", "new resources server", "integrate benchmark", "wrap benchmark", "add training environment", "add eval".
MusicKit Now Playing integration patterns. Use when playing Apple Music content with ApplicationMusicPlayer and understanding automatic vs manual Now Playing info updates.
Heartbeat-based health monitoring for background workers with configurable thresholds, rolling duration windows, failure rate calculation, and stuck job detection.
Set up comprehensive observability for Lokalise integrations with metrics, traces, and alerts. Use when implementing monitoring for Lokalise operations, setting up dashboards, or configuring alerting for Lokalise integration health. Trigger with phrases like "lokalise monitoring", "lokalise metrics", "lokalise observability", "monitor lokalise", "lokalise alerts", "lokalise tracing".
Set up comprehensive observability for TwinMind integrations with metrics, traces, and alerts. Use when implementing monitoring for TwinMind operations, setting up dashboards, or configuring alerting for meeting AI integration health. Trigger with phrases like "twinmind monitoring", "twinmind metrics", "twinmind observability", "monitor twinmind", "twinmind alerts", "twinmind tracing".
Developer quick start guide with prerequisites, setup, and workflow commands
Validate code changes by intelligently selecting and running the appropriate test suites. Use this when editing code to verify changes work correctly, run tests, validate functionality, or check for regressions. Automatically discovers affected test suites, selects the minimal set of venvs needed for validation, and handles test execution with Docker services as needed.
Run targeted linting, formatting, and code quality checks on modified files. Use this to validate code style, type safety, security, and other quality metrics before committing. Supports running all checks or targeting specific checks on specific files for efficient validation.
Help users develop product taste and intuition. Use when someone wants to improve their product judgment, struggles to evaluate design quality, needs to make decisions without complete data, or wants to build better product instincts.
