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 skillsAI Engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents with vector search, multimodal AI, and enterprise integrations.
42.4k
Arize Prompt Optimization
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations from Arize AI.
36.2k · bundle
AI Product
Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.
42.4k
Phoenix Evals
Build and run evaluators for AI/LLM applications using Phoenix, covering error analysis, custom evaluators, experiments, and production monitoring.
36.2k · bundle
LLM Ops
Guides production AI systems: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and caching.
2
LLM Ops
Guides production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and AI architectures.
0 · bundle
More results
Image Gen
Generates images from text prompts using diffusion models, covering prompt engineering, inpainting/outpainting, ControlNet, and API integration for production workflows.
10
LLM Ops
Provides guidance on production AI operations including RAG pipelines, vector databases, embeddings, fine-tuning, prompt engineering, cost estimation, and quality evaluation.
5
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
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
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.
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
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