Agent Skills Hub

new-analyzer

Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.

markdown-converter

Convert various documents, media, and web content into Markdown using markitdown, ideal for LLM processing and text analysis.

terraform-module-library

Build production-ready, reusable Terraform modules for multi-cloud infrastructure. Includes standardized patterns for AWS, Azure, GCP, and OCI with built-in testing and validation.

Extract structured data from unstructured files (PDF, PPTX, DOCX...)

Implement LlamaExtract for robust structured data extraction from PDF, DOCX, and PPTX files using Pydantic schemas.

skill-name

Comprehensive SEO and GEO optimization suite. Use to analyze domains, find keyword gaps, research backlinks, and generate autocomplete search suggestions using DataForSEO.

d3js-data-visualization

Create interactive, custom data visualizations using d3.js — including charts, graphs, and network diagrams. Ideal for when you need fine-grained control over visual elements, transitions, and interactions.

testops-companion

An AI-powered TestOps platform and MCP server providing automated failure analysis, RCA matching, and intelligent test orchestration for CI/CD pipelines.

nia

Research agent for Nia: index/search remote codebases, docs, and packages. Optimizes AI context by prioritizing full source indexing over web fetches to reduce hallucinations.

outpost

Open-source infrastructure for reliable, multi-destination event delivery. Route webhooks to HTTP, SQS, RabbitMQ, Pub/Sub, EventBridge, or Kafka with built-in retries and observability.

deepwiki

Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.

lofy-career

Automated job search management for the Lofy AI assistant: track applications, tailor resumes, prepare for interviews, manage follow-ups, and analyze career pipelines.

ops-devops-platform

DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.