Plugins

10 plugins

Content Production

Content Production from Auto-Skiller/plugboot.

2 skills · plugin

ML Model Lifecycle

Train, evaluate, and deploy a production ML system with monitoring.

10 skills · plugin

AI Video Production

For creators producing AI-generated videos with avatars, lipsync, and voiceover.

1 skills · plugin

Python Development

Deep Python production guidance for testing, project tooling, concurrency, and type-system work.

6 skills · plugin

Typescript Development

Deep TypeScript production guidance for testing, tooling, modules, packaging, and type-system work.

6 skills · plugin

Ship Production Deployment

Sets up CI/CD pipeline, deploys with staged rollout, configures observability, and enforces safety checks.

5 skills · plugin

Safe Production Deployment

Deploy a web application safely with pre-deployment audit, rollout plan, canary monitoring, and rollback strategy.

9 skills · plugin

Backend Framework Patterns

For developers building production-grade backends with NestJS, Spring Boot, or Ktor, covering architecture patterns and best practices.

7 skills · plugin

Build RAG Pipeline with Pinecone

Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.

6 skills · plugin

Build Agent with LangGraph

Build production-grade stateful AI agents using LangGraph, covering graph construction, state management, persistence, and human-in-the-loop patterns.

9 skills · plugin

Results for “production”

247 skills

Use when implementing lua functionality with production-grade patterns and safeguards.

Use when implementing php functionality with production-grade patterns and safeguards.

Use when implementing python functionality with production-grade patterns and safeguards.

Use when implementing sns functionality with production-grade patterns and safeguards.

Use when implementing sqs functionality with production-grade patterns and safeguards.

Use when implementing AI functionality with production-grade patterns and safeguards.

Use when implementing bash functionality with production-grade patterns and safeguards.

Use when implementing c functionality with production-grade patterns and safeguards.

Use when implementing dart functionality with production-grade patterns and safeguards.

Use when implementing deno functionality with production-grade patterns and safeguards.

Use when implementing expo functionality with production-grade patterns and safeguards.

Use when implementing fastapi functionality with production-grade patterns and safeguards.

Use when implementing grpc functionality with production-grade patterns and safeguards.

Use when implementing haskell functionality with production-grade patterns and safeguards.

Use when implementing java functionality with production-grade patterns and safeguards.

Use when implementing jest functionality with production-grade patterns and safeguards.

Use when implementing knex functionality with production-grade patterns and safeguards.

Use when implementing loki functionality with production-grade patterns and safeguards.

Use when implementing ML functionality with production-grade patterns and safeguards.

Use when implementing mqtt functionality with production-grade patterns and safeguards.

Use when implementing nats functionality with production-grade patterns and safeguards.

Use when implementing perl functionality with production-grade patterns and safeguards.

Use when implementing ruby functionality with production-grade patterns and safeguards.

Use when implementing rust functionality with production-grade patterns and safeguards.

Use when implementing trpc functionality with production-grade patterns and safeguards.

Use when implementing UI functionality with production-grade patterns and safeguards.

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.

Oversized Cursor

Provides a production-proven oversized macOS-style cursor technique for launch videos, covering size, entry, tip-targeting, click animation, and exit laws to carry the viewer's eye.

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.

Postgresql Expert

Expert-level PostgreSQL database administration, advanced queries, performance tuning, and production operations

Storyboard Creation

Generate visual storyboards with AI image generation, covering shot types, camera angles, movement, continuity rules, and panel layout for video planning and pre-production.

Regex fluency — syntax, ReDoS prevention, production validation patterns, and regex code review checklist.

Debugging And Error Recovery

Provides a structured triage process for debugging test failures, build errors, runtime bugs, and production incidents, including steps to reproduce, localize, fix, and guard against recurrence.

Improve interface resilience through better error handling, i18n support, text overflow handling, and edge case management. Makes interfaces robust and production-ready. Use when the user asks to harden, make production-ready, handle edge cases, add error states, or fix overflow and i18n issues.

Database Migration

Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.

Urgent issue classification, root cause analysis, and fast-path routing for production hotfixes