repo-audit
repo-audit is a skill that automates code validation by running a series of commands, including npm run lint, npm run typecheck, and npm run test, to produce a markdown report.
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repo-audit is a skill that automates code validation by running a series of commands, including npm run lint, npm run typecheck, and npm run test, to produce a markdown report.
create-event-handlers is a skill that sets up RabbitMQ event publishers and consumers, following a specific event naming convention and tenant-only context.
jekyll-article-generator is a specialized AI agent skill for generating publication-quality articles and blog posts for Jekyll sites, focusing on software verification and validation.
Frontend-developer is a skill that develops and optimizes React components, UI library, state management, and user experience for efficient frontend development.
write-commits is a skill that generates commit messages following repository conventions, using commands like git diff --cached --stat to analyze staged changes.
Implementation-planning is a skill that creates the Implementation Plan section for build execution, returning a draft section to the orchestrator.
sync-providers is a synchronization tool that keeps real and fake providers in alignment with their interfaces, ensuring consistency and accuracy in development workflows.
review-implementing is a systematic workflow for processing and implementing code review feedback, handling items such as numbered lists and bullet points.
pr-merge is an AI agent skill that handles pull request merging with pre-merge validation. It accepts a PR number or URL and executes a specified merge strategy (merge, squash, or squid) using a Haiku subagent for Bash operations to optimize computational costs.
create-component is a skill that creates new Spark UI components for React applications, following a standardized file structure and project guidelines.
baoyu-comic is a Warehouse Inbound Recorder System that generates knowledge comics with various styles and layouts using Flask and SQLite.
python-performance-optimization is a set of techniques for profiling, analyzing, and optimizing Python code to achieve better performance, including CPU profiling, memory optimization, and implementation best practices.