Agent Skills Hub

receiving-code-review

Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.

splitting-notes

Refactor monolithic notes into modular, index-linked files for improved discoverability and organization, targeting files over 1000 lines.

gh-ticket

Create and update comprehensive GitHub issues with full technical context to prevent requirement loss and reduce implementation friction.

compatibility-testing

Orchestrate cross-browser, cross-device, and responsive design testing using cloud providers like BrowserStack and Playwright to ensure consistent user experiences.

Global Coding Style

Apply reality-first coding standards: intentional naming, focused functions, guard clauses, and deterministic side effects, with no speculative features.

self-reviewer

Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.

update-llm-model-list

Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.

playwright-pro

Production-grade Playwright testing toolkit. Automate E2E testing, fix flaky tests, perform migrations from Cypress/Selenium, and integrate with CI/CD, TestRail, and BrowserStack.

code-quality

Enforce strict code quality, correctness, and Rust design patterns for the Turso database, prioritizing data integrity, performance, and maintainable, idiomatic code.

file-todos

A structured file-based system for tracking todos, managing technical debt, and coordinating code review workflows directly within your repository.

subagent-driven-development

Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.

sui

Debugs deterministic Sui simtest failures using automated logging and the scientific method.