Agent Skills Hub

linear

Linear issue management and synchronization for LobeHub, featuring automated PR referencing, sub-issue tree decomposition, and status tracking.

screenshot-capture

Automated screenshot-to-knowledge workflow for Enzo. Captures, categorizes, extracts content, and logs patterns from screenshots to build a structured reference library.

typescript

TypeScript development standards for LobeHub, covering type safety, async patterns, import organization, UI component integration, and performance optimization.

plan-writing

Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.

claude-api

Expert guidance for Claude Messages API: structured outputs, prompt caching, tool use, and migration from deprecated Claude 3.x models to 4.5. Prevents common API errors.

xp-practices

Implement Extreme Programming (XP) practices including TDD, pair programming, and continuous integration to enhance team collaboration and technical excellence in software engineering.

Global Documentation

Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.

planning-with-files

Implements Manus-style persistent markdown planning for complex workflows, project tracking, and research management to optimize agent attention and memory.

pymc

Bayesian modeling and probabilistic programming with PyMC. Build hierarchical models, perform MCMC sampling (NUTS), variational inference, and conduct rigorous model comparison using LOO and WAIC.

financial-analyzing

Analyze financial data, calculate key performance metrics like margins and ROI, and generate structured analytical reports.

digital-brain

A structured personal operating system for managing digital presence, knowledge, relationships, and goals with AI assistance for founders, creators, and professionals.

acceptance-testing

Plan, implement, and execute user acceptance tests (UAT) and end-to-end scenarios to validate requirements against user-visible behavior.