Automation

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

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".

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 automate database backup processes with scheduling and encryption.This skill creates backup scripts for PostgreSQL, MySQL, MongoDB, and SQLite with compression.Trigger with phrases like "automate database backups", "schedule database dumps","create backup scripts", or "implement disaster recovery for database".

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".

Process use when you need to work with database documentation. This skill provides automated documentation generation with comprehensive guidance and automation. Trigger with phrases like "generate docs", "document schema", or "create database documentation".

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.

Guide for using MassGen to develop and improve itself. This skill should be used when agents need to run MassGen experiments programmatically (using automation mode) OR analyze terminal UI/UX quality (using visual evaluation tools). These are mutually exclusive workflows for different improvement goals.

Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.

Upgrades Go version across the entire Chainloop codebase including source files, Docker images, CI/CD workflows, and documentation. Use when the user mentions upgrading Go, golang version, or updating Go compiler version.

Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.

Deploy, manage environment variables, view logs, and configure cron jobs with Vercel CLI. Use when deploying to Vercel, managing env vars (add/update/remove), viewing runtime/build logs, or configuring scheduled tasks in vercel.json.

Create and use custom slash commands to automate Claude Code workflows. Learn argument passing, frontmatter configuration, bash integration, and file references for building reusable prompts.

Create and manage specialized Claude Code subagents for task-specific workflows. Use when delegating work to specialized agents, configuring agent permissions, or understanding subagent architecture and best practices.

Specialized AI assistants for task-specific workflows with separate context. Learn when to delegate, configure tools, and apply best practices.

Structure Claude prompts for clarity and better results using roles, explicit instructions, context, positive framing, and strategic organization. Use when crafting prompts for complex tasks, long documents, tool workflows, or code generation.

Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework

Test-Driven Development workflow. Use for ALL code changes - features, bug fixes, refactoring. TDD is non-negotiable.