Loading...
Loading...
Found 6,236 Skills
AI agent patterns with Trigger.dev - orchestration, parallelization, routing, evaluator-optimizer, and human-in-the-loop. Use when building LLM-powered tasks that need parallel workers, approval gates, tool calling, or multi-step agent workflows.
Design and coordinate multi-agent systems where specialized agents work together to solve complex problems. Covers agent communication, task delegation, workflow orchestration, and result aggregation. Use when building coordinated agent teams, complex workflows, or systems requiring specialized expertise across domains.
Implement synthetic monitoring and automated testing to simulate user behavior and detect issues before users. Use when creating end-to-end test scenarios, monitoring API flows, or validating user workflows.
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
Provides comprehensive GitHub operations using gh CLI and GitHub API. Activates when working with pull requests, issues, repositories, workflows, or GitHub API operations including creating/viewing/merging PRs, managing issues, querying API endpoints, and handling GitHub workflows in enterprise or public GitHub environments.
Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist commissioning. Activate on 'AI video production', 'script to video', 'video generation pipeline', 'character consistency', 'LoRA training', 'cloud GPU', 'motion graphics', 'Wan I2V', 'InVideo alternative'. NOT for real-time video editing, video compositing (use DaVinci/Premiere), audio production, or 3D modeling (use Blender/Maya).
Plan and stay on track. Fast. Practical. Intentional. Oya is a productivity tool for doers who think strategically. It combines your long-term vision with daily adaptation by bringing together ideas from Getting Things Done (GTD) and the 7 Habits of Highly Effective People in a simple and lightning fast workflow. Daily use is recommended. Just say "oya" to get going.
Design ETL/ELT pipelines with proper orchestration, error handling, and monitoring. Use when building data pipelines, designing data workflows, or implementing data transformations.
This skill guides systematic code refactoring following the DRY (Don't Repeat Yourself) principle. Use it when users request to eliminate code duplication, refactor repetitive code, apply the DRY principle, or mention code smells like copy-paste code, magic numbers, or repeated logic. It implements a 4-step workflow from identifying repetition to verified refactoring.
Deployment procedures and CI/CD pipeline configuration for Python/React projects. Use when deploying to staging or production, creating CI/CD pipelines with GitHub Actions, troubleshooting deployment failures, or planning rollbacks. Covers pipeline stages (build/test/staging/production), environment promotion, pre-deployment validation, health checks, canary deployment, rollback procedures, and GitHub Actions workflows. Does NOT cover Docker image building (use docker-best-practices) or incident response (use incident-response).
Test-driven development workflow enforcement for Python and React projects. Use when the user requests TDD, test-first development, or red-green-refactor methodology. Enforces strict cycle: write ONE failing test -> implement minimum code to pass -> refactor while green -> repeat. Applies to both backend (pytest) and frontend (Testing Library). Changes agent behavior to write tests before code. Does NOT provide testing patterns (use pytest-patterns or react-testing-patterns for how to write tests).
Guides the user through distributing Tauri applications via CrabNebula Cloud, including pipeline setup, cloud configuration, auto-updates integration, and CI/CD workflows for seamless app distribution.