Agent Skills Hub

quality

Expert code reviewer for Rust projects. Performs comprehensive quality, security, performance, and architectural analysis using Bazel and project-specific conventions.

subagents-orchestration-guide

Orchestrates multi-agent development workflows, managing task decomposition, requirement analysis, and quality assurance for complex software projects.

doncheli-visual-test

Perform automated visual regression testing by comparing UI screenshots against established baselines to identify layout shifts, color changes, and rendering regressions.

refactoring-patterns

Safely refactor code to improve structure and maintainability while preserving behavior through TDD cycles and automated test verification.

user-stories

Write INVEST-compliant user stories with testable Given-When-Then acceptance criteria to bridge the gap between requirements and development.

review-collector

Automated compliance validation tool for collector bot packages using 8 specialized parallel agents.

vtm-expert

Token-efficient virtual task management for AI-assisted development. Manage task lifecycles, dependencies, and TDD workflows with surgical context injection.

writing-bundler-tests

Guides writing, debugging, and maintaining Bun bundler tests using itBundled and expectBundled to verify transpilation, minification, and code transformation.

structured-code-review

Performs a structured five-stage code review covering requirements, correctness, code quality, testing, and security. Provides actionable, categorized feedback (Blocker/Major/Minor/Nit) to improve PR quality.

dod

Definition of Done (DoD) verification workflow that triggers automatically upon implementation completion to ensure quality, document evidence, and standardize reporting.

api-docs-generator

Automated API documentation engine that generates and updates OpenAPI specs and Markdown from code changes.

juliaz-tool-builder

Expert guidance for designing and implementing high-quality tool schemas and descriptions for Julia's agent systems, ensuring reliable tool execution and reducing model hallucinations.