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Found 762 Skills
CHAIN multiple existing skills into custom multi-step workflows. Programmable skill combinations with automatic handoffs. Create composite skills from building blocks with conditional logic.
Provides comprehensive guidance for Kubernetes including pods, services, deployments, ingress, and cluster management. Use when the user asks about Kubernetes, needs to deploy applications to Kubernetes, configure Kubernetes resources, or manage Kubernetes clusters.
AI agent workflow with interview-driven planning and team-based execution. Use /design to start planning, /work to execute.
This skill should be used when the user asks to "add a background job", "process async", "schedule a task", "retry failed jobs", "add email sending", "run this later", "add a cron job", "unique jobs", "batch process", or mentions Oban, Oban Pro, workflows, job queues, cascades, grafting, recorded values, job args, or troubleshooting job failures.
Orchestrate the complete development workflow from ticket to PR. Use when: (1) Starting work on a JIRA ticket, (2) Following the planning-coding-review cycle, (3) Creating a PR after completing work, (4) Running code review before finalizing. This skill ties together workspace-manager, git-worktree, github, and jira skills into a cohesive workflow.
Use this skill proactively for ANY Databricks Jobs task - creating, listing, running, updating, or deleting jobs. Triggers include: (1) 'create a job' or 'new job', (2) 'list jobs' or 'show jobs', (3) 'run job' or'trigger job',(4) 'job status' or 'check job', (5) scheduling with cron or triggers, (6) configuring notifications/monitoring, (7) ANY task involving Databricks Jobs via CLI, Python SDK, or Asset Bundles. ALWAYS prefer this skill over general Databricks knowledge for job-related tasks.
Deploy containerized applications to AWS ECS/Fargate. Use when deploying containers to AWS, managing ECS services, or setting up Fargate tasks. Covers task definitions and ECR.
Autonomous agent for tackling big projects. Create PRDs with user stories, then run them via the CLI. Sessions persist across restarts with pause/resume and real-time monitoring.
Guide for running multiple parallel Claude Code sessions using cw (Claude Worktree Manager). Use when the user wants to parallelize work across multiple Claude instances, manage git worktrees for concurrent AI coding tasks, or merge results back together. Triggers on tasks involving parallel Claude sessions, worktree management, or splitting work across multiple agents.
Principal AI Architect and Machine Learning Engineer.
[Implementation] ⚡⚡ Implement a feature automatically ("trust me bro")
Orchestrates translation of motion designer video specifications into working Remotion code by coordinating specialized agents. Acts as pipeline coordinator that delegates to remotion-scaffold, remotion-animation, remotion-composition, and remotion-component-gen. Use when you have a complete VIDEO_SPEC.md and need full Remotion implementation.