Agent Skills Hub

Development Tools

Development CLI for the Multigres project: automate unit tests, integration tests, and environment coordination for Vitess-for-Postgres.

research-lookup

Intelligent research agent that automatically routes queries between fast web search, deep multi-source synthesis, and academic database lookups.

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.

backend-development

Build, optimize, and maintain production-ready backend systems using Node.js, Python, Go, and Rust. Includes API design, database management, security, and DevOps best practices.

turing-tavily-web-search

Search the web for real-time data and research using the Turing Tavily proxy. Use for up-to-date information, current events, and web-based research tasks.

taskyou

An autonomous AI-powered task management system with Kanban boards, git worktree isolation, and pluggable executors like Claude Code, Gemini, and OpenAI Codex.

secrets-management

Securely manage CI/CD secrets with Vault, AWS Secrets Manager, and environment-specific patterns. Prevent credential leakage, implement rotation, and enforce least-privilege access for pipelines.

reverse-engineering-api

Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients for automation and data extraction.

dev-checker

Automated code quality validation tool for pre-commit and pre-deploy checks, covering TypeScript, builds, and linting.

example-data-processor

A modular data processing tool for cleaning, validating, and analyzing CSV files with support for custom transformations and automated dependency management.

ui-design-review

Gemini-powered UI design review, accessibility auditing, and design system validation tool for software agents.

langchain-chat-models

A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.