Agent Skills Hub

hunt-focus-definition

Synthesize research on system internals and adversary tradecraft into a concrete, testable hunt hypothesis.

LifeOS

A comprehensive personal life management system using Todoist for task tracking, Logseq for journaling, and AI-driven insights for productivity.

paper-reproduce

Systematic methodology for reproducing published academic papers using provided data, including sample selection, statistical verification, and automated reporting.

mcaf-devex

Optimize developer experience for multi-component solutions: standardize onboarding, inner-loop, debugging, and cross-platform setup to eliminate friction and tribal knowledge.

Data Analysis Helper

A versatile data analysis assistant for loading datasets, performing statistical calculations, visualizing trends, and generating professional summary reports.

trulens-evaluation-workflow

A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.

goal-tracking

Cascading goal tracking system connecting 3-year vision to daily tasks. Automates progress calculation, stalled goal detection, and project-to-goal alignment for Obsidian vaults.

template-skill

A flexible template for developing and integrating custom AI agent skills within the Mini-Agent framework.

plan-down

Method-driven planning workflow that intelligently decomposes tasks into structured plan.md files using zen-mcp tools, adapting to user clarity and automation needs.

component-workflow

Guidance for creating and integrating new ECS components, including class design, JSON serialization, custom editor UI implementation, and DI registration.

project-development

A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.

session-intelligence-harvester

Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.