Agent Skills Hub

multi-llm-advisor

Fetches expert perspectives from OpenAI Codex and Google Gemini for architecture, code reviews, and debugging, with transparent LLM synthesis.

pr-review-fix-loop

Orchestrate an automated PR review-fix loop. Dispatches subagents to analyze code, CI status, and comments, then applies iterative fixes until the PR reaches a passing state.

requirements-clarity

Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.

documentation

Write, structure, and maintain technical documentation like READMEs, API docs, runbooks, and architecture specs to keep your team aligned and informed.

skill-architect

Expert consultant for designing and building high-quality, consistent AI agent skills. Guides you through discovery, architecture, and creation phases to ensure reliable, composable, and efficient skill delivery.

fluidsim

Framework for high-performance computational fluid dynamics (CFD) simulations, supporting Navier-Stokes, shallow water, and stratified flows using pseudospectral methods and MPI parallelization.

debug

Debug package implementation guide for LobeHub. Provides standardized logging patterns, namespace conventions, and configuration for browser, Node.js, and Electron environments.

matchms

Python toolkit for mass spectrometry data processing. Enables spectral file importing (mzML, MGF, MSP), metadata harmonization, peak filtering, and calculating spectral similarity scores (cosine, modified cosine) for metabolomics.

testing-strategies

Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.

Python Code Review with Modern Typing

Enforce strict Python 3.12+ type safety and modern annotation standards for high-quality, maintainable codebases.

golang-cli-review

Expert automated code review for Go CLI applications, focusing on Cobra/urfave patterns, security, performance, idiomatic Go, and robust error handling.

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.