neverprepared
Official@neverprepared
Provides infrastructure-as-code patterns, vector database integration, and content ingestion frameworks for enterprise-grade cloud environments and knowledge management systems.
Agent Skills by neverprepared
Showing 42 vetted skills indexed across 1 GitHub repositories.
neverpreparedazure-resource-discovery
Identify Azure resource dependencies and topology using read-only Resource Graph queries.
neverpreparedterraform-patterns
Automate consistent infrastructure-as-code patterns for Terraform configurations.
neverpreparedaws-patterns
Provide AWS infrastructure patterns for Lambda, S3, VPC, EC2, and IAM.
neverpreparedvideo-upload-patterns
Automate multi-platform video uploads and metadata management across YouTube, TikTok, and Vimeo.
neverpreparedknowledge-ingestion-patterns
Automate ingestion of diverse content into vector databases and RAG systems.
neverpreparedrouter-builder
Routes queries to commands, agents, skills, or workflows via hierarchical semantic matching.
neverpreparedrag-wrapper
Automate RAG-wrapped memory augmentation for agents using Qdrant.
neverprepareddatabase-migration-patterns
Apply Expand and Contract patterns for zero-downtime database migrations.
neverpreparedcollection-migration
Migrate and synchronize Qdrant vector DB collections across environments with integrity checks.
neverpreparedmicrosoft-docs
Search Microsoft Learn documentation and fetch full page content with metadata.
neverpreparedmicrosoft-code-reference
Retrieve Microsoft API references and code samples across languages.
neverpreparedqdrant-patterns
Store and retrieve documents in Qdrant collections for RAG workflows.
neverpreparedffmpeg-patterns
Automate FFmpeg transcoding, extraction, trimming, filtering, merging, and thumbnail generation.
neverpreparedsite-crawler
Crawl websites and extract structured content for RAG indexing.
neverpreparedembedding-comparison
Benchmark embedding models on documents and queries with retrieval metrics.
neverpreparedai-video-generation
Generate videos from text prompts or images using Runway, Pika Labs, and diffusion pipelines.
neverpreparedanalysis-patterns
Identify patterns, anomalies, and root causes in datasets.
neverpreparedproject-onboarding
Automates project onboarding by configuring RAG collections, routing rules, and baseline knowledge.
neverpreparedpodcast-production
Coordinate podcast production from recording to RSS feed distribution.
neverpreparedimage-to-diagram
Convert visual diagrams from images into Mermaid or Graphviz code.
neverpreparedrag-builder
Store and retrieve document chunks with a vector database for RAG workflows.
neverpreparediconset-maker
Generate platform-specific icons from a single SVG or PNG source.
neverpreparedn8n-patterns
Create reusable n8n workflow patterns for automation pipelines and integrations.
neverpreparedstreaming-patterns
Automate multi-platform live streaming configuration across YouTube, Twitch, and OBS.
Frequently Asked Questions About neverprepared
FAQPage SchemaWhat specific infrastructure tasks are supported by these patterns?▼
These patterns enable Azure resource discovery, AWS infrastructure provisioning for Lambda and VPC, Kubernetes manifest generation, and standardized Docker multi-stage builds for Node.js, Go, and other runtimes.
Which technical personas benefit from these repository patterns?▼
Cloud architects, DevOps engineers, and data engineers benefit from these standardized configurations for infrastructure provisioning, vector database collection management, and structured content ingestion pipelines.
What are the primary dependencies for implementing these ingestion patterns?▼
Implementation requires access to Qdrant for vector storage, FFmpeg for media processing, and standard environment configurations for Terraform, Helm, and Prometheus observability stacks.