Plugins

10 plugins
@auto-skiller
Content Production
Content Production from Auto-Skiller/plugboot.
2 skills · plugin
curated
ML Model Lifecycle
Train, evaluate, and deploy a production ML system with monitoring.
10 skills · plugin
curated
AI Video Production
For creators producing AI-generated videos with avatars, lipsync, and voiceover.
1 skills · plugin
@cjthompson
Python Development
Deep Python production guidance for testing, project tooling, concurrency, and type-system work.
6 skills · plugin
@cjthompson
Typescript Development
Deep TypeScript production guidance for testing, tooling, modules, packaging, and type-system work.
6 skills · plugin
curated
Ship Production Deployment
Sets up CI/CD pipeline, deploys with staged rollout, configures observability, and enforces safety checks.
5 skills · plugin
curated
Safe Production Deployment
Deploy a web application safely with pre-deployment audit, rollout plan, canary monitoring, and rollback strategy.
9 skills · plugin
curated
Backend Framework Patterns
For developers building production-grade backends with NestJS, Spring Boot, or Ktor, covering architecture patterns and best practices.
7 skills · plugin
curated
Build RAG Pipeline with Pinecone
Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.
6 skills · plugin
curated
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”

13 skills
More results
oyi77
Image Gen
Generates images from text prompts using diffusion models, covering prompt engineering, inpainting/outpainting, ControlNet, and API integration for production workflows.
10
lucaspmarie-a11y
LLM Ops
Provides guidance on production AI operations including RAG pipelines, vector databases, embeddings, fine-tuning, prompt engineering, cost estimation, and quality evaluation.
5
phoroth
LLM Ops
Implements production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, advanced prompt engineering, cost estimation, quality evals, semantic caching, streaming, and agents.
3
antigravity
LLM Ops
Provides guidance and code for production AI workflows including RAG pipelines, vector databases, embedding indexing, prompt engineering, cost estimation, semantic caching, and quality evaluation.
42.4k
deep-chavda
AI Engineering Standards
Enforces production-grade Python and AI engineering standards for FastAPI, LangChain/LangGraph, RAG pipelines, and LLM integrations, covering type safety, error handling, testing, and security.
muratcankoylan
Advanced Evaluation
Provides production-grade techniques for evaluating LLM outputs using LLMs as judges, covering direct scoring, pairwise comparison, bias mitigation, rubric generation, and confidence calibration.
16.9k · bundle
mukul975
Defending Llms With Guardrails
Deploy Llama Guard, NeMo Guardrails, and LLM Guard as runtime input/output scanners to block jailbreaks, prompt injection, and toxic content in production LLM applications.
24.6k · bundle