數據與 AI

Data Normalization Tool - Auto-activating skill for ML Training. Triggers on: data normalization tool, data normalization tool Part of the ML Training skill category.

Execute pre-launch production readiness checklist for Kling AI. Use when preparing to deploy video generation to production. Trigger with phrases like 'klingai production', 'kling ai go-live', 'klingai launch checklist', 'deploy klingai'.

Process use when you need to work with schema comparison. This skill provides database schema diff and sync with comprehensive guidance and automation. Trigger with phrases like "compare schemas", "diff databases", or "sync database schemas".

Configure model fallback chains for high availability. Use when building fault-tolerant LLM systems. Trigger with phrases like 'openrouter fallback', 'openrouter backup model', 'openrouter redundancy', 'model failover'.

Mlflow Tracking Setup - Auto-activating skill for ML Training. Triggers on: mlflow tracking setup, mlflow tracking setup Part of the ML Training skill category.

Process multiple video generation requests efficiently with Kling AI. Use when generating multiple videos or building content pipelines. Trigger with phrases like 'klingai batch', 'kling ai bulk', 'multiple videos klingai', 'klingai parallel generation'.

Learning Rate Scheduler - Auto-activating skill for ML Training. Triggers on: learning rate scheduler, learning rate scheduler Part of the ML Training skill category.

Feature Engineering Helper - Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering helper Part of the ML Training skill category.

Execute apply Vercel advanced debugging techniques for hard-to-diagnose issues. Use when standard troubleshooting fails, investigating complex race conditions, or preparing evidence bundles for Vercel support escalation. Trigger with phrases like "vercel hard bug", "vercel mystery error", "vercel impossible to debug", "difficult vercel issue", "vercel deep debug".

Process this skill enables AI assistant to forecast future values based on historical time series data. it analyzes time-dependent data to identify trends, seasonality, and other patterns. use this skill when the user asks to predict future values of a time ser... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

Database Query Profiler - Auto-activating skill for Performance Testing. Triggers on: database query profiler, database query profiler Part of the Performance Testing skill category.

Pyspark Transformer - Auto-activating skill for Data Pipelines. Triggers on: pyspark transformer, pyspark transformer Part of the Data Pipelines skill category.

Execute integrate Kling AI video generation into CI/CD pipelines. Use when automating video content generation in build pipelines. Trigger with phrases like 'klingai ci', 'kling ai github actions', 'klingai automation', 'automated video generation'.

Incremental Load Setup - Auto-activating skill for Data Pipelines. Triggers on: incremental load setup, incremental load setup Part of the Data Pipelines skill category.

Execute this skill should be used when the user asks about "how sprints work", "sprint phases", "iteration workflow", "convergent development", "sprint lifecycle", "when to use sprints", or wants to understand the sprint execution model and its convergent diffusion approach. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

Execute proactive auto-loading: automatically detects and loads agents.md files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

Build this skill allows AI assistant to evaluate machine learning models using a comprehensive suite of metrics. it should be used when the user requests model performance analysis, validation, or testing. AI assistant can use this skill to assess model accuracy, p... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

Model Checkpoint Manager - Auto-activating skill for ML Training. Triggers on: model checkpoint manager, model checkpoint manager Part of the ML Training skill category.

Data Visualization Helper - Auto-activating skill for Visual Content. Triggers on: data visualization helper, data visualization helper Part of the Visual Content skill category.

Detect profitable arbitrage opportunities across exchanges and DEXs in real-time. Use when discovering profitable arbitrage across exchanges. Trigger with phrases like "find arbitrage", "scan for arb opportunities", or "check arbitrage".