Agent Skills Hub

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.

single-cell-rna-qc

Automated single-cell RNA-seq quality control pipeline following scverse best practices. Performs MAD-based outlier detection, cell filtering, and diagnostic visualization for .h5ad and .h5 datasets.

protocol-reverse-engineering

Perform network protocol reverse engineering, including packet capture, traffic analysis, protocol dissection, and custom format documentation.

golang

Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.

vscode-playwright

Automated high-quality VS Code screenshot capture using Playwright and serve-web for documentation, slide decks, and visual technical content.

jenkins

Manage Jenkins CI/CD pipelines via REST API. Trigger builds, monitor job status, view console logs, and manage nodes and queues directly from your terminal or AI agent.

log-focus-debug

Focus debug skill for DashPlayer: isolates log chains, injects temporary focus markers ([FOCUS:token]), and ensures clean removal of debug artifacts after task completion.

screenpipe-cli

Manage screenpipe pipes (AI-driven automations) and integrations via CLI. Create, run, schedule, and debug local agents to automate tasks based on your computer activity.

workflow-execute-plans

Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.

mcp-builder

A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.

rigup.nix

A framework for building modular AI agent rigs using Nix, featuring parametrable skills, knowledge management, and automated tool configuration.

gh-ticket

Create and update comprehensive GitHub issues with full technical context to prevent requirement loss and reduce implementation friction.