內容與媒體

Use when you need to work with cloud cost optimization.This skill provides cost analysis and optimization with comprehensive guidance and automation.Trigger with phrases like "optimize costs", "analyze spending",or "reduce costs".

Use when you need to work with deployment and CI/CD.This skill provides deployment automation and pipeline orchestration with comprehensive guidance and automation.Trigger with phrases like "deploy application", "create pipeline",or "automate deployment".

Monitor cross-chain bridge security, liquidity, and transaction status across networks.Use when monitoring cross-chain asset transfers.Trigger with phrases like "monitor bridges", "check cross-chain", or "track bridge transfers".

Use when you need to work with database operations.This skill provides database management and optimization with comprehensive guidance and automation.Trigger with phrases like "manage database", "optimize database",or "configure database".

Analyze liquidity pool metrics including TVL, volume, fees, and impermanent loss.Use when analyzing DEX liquidity pools.Trigger with phrases like "analyze pool", "check TVL", or "calculate impermanent loss".

Build real-time API monitoring dashboards with metrics, alerts, and health checks.Use when tracking API health and performance metrics.Trigger with phrases like "monitor the API", "add API metrics", or "setup API monitoring".

Use when you need to work with ORM code generation.This skill provides ORM model and code generation with comprehensive guidance and automation.Trigger with phrases like "generate ORM models", "create entity classes",or "scaffold database models".

Manage use when you need to work with backup and recovery. This skill provides backup automation and disaster recovery with comprehensive guidance and automation. Trigger with phrases like "create backups", "automate backups", or "implement disaster recovery".

Use when you need to work with auto-scaling.This skill provides auto-scaling configuration with comprehensive guidance and automation.Trigger with phrases like "configure auto-scaling", "set up elastic scaling",or "implement scaling".

Use when you need to work with backup and recovery.This skill provides backup automation and disaster recovery with comprehensive guidance and automation.Trigger with phrases like "create backups", "automate backups",or "implement disaster recovery".

Orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers.Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination.Trigger with phrases like "create multi-agent system", "orchestrate agents", or "coordinate agent workflows".

Use when you need to work with database migrations.This skill provides schema migration management with comprehensive guidance and automation.Trigger with phrases like "create migration", "run migrations",or "manage schema versions".

Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning.Use when automating ML workflows from data preparation through model deployment.Trigger with phrases like "build automl pipeline", "automate ml workflow", or "create automated training pipeline".

Use when you need to work with database schema design.This skill provides schema design and migrations with comprehensive guidance and automation.Trigger with phrases like "design schema", "create migration",or "model database".

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, and streaming row updates. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription), ZIP archives, YouTube URLs, or EPubs to Markdown format for LLM processing or text analysis.

Design command-line interface parameters and UX: arguments, flags, subcommands, help text, output formats, error messages, exit codes, prompts, config/env precedence, and safe/dry-run behavior. Use when you’re designing a CLI spec (before implementation) or refactoring an existing CLI’s surface area for consistency, composability, and discoverability.