Autonomous senior developer workflow for resolving GitHub epics and sub-issues. Uses TDD, security scanning, branch/PR automation, CI validation, and self-review. Continues through all sub-issues until the epic is complete. Ensures 80% unit test coverage and optionally creates Playwright e2e tests for UI work.
Comprehensive code review workflow for pull requests. Validates against requirements (epic/issue), checks code quality, security (OWASP Top 10), performance, test coverage, and documentation. Leaves structured GitHub review with inline comments. Optionally hands off to Code Issue agent for fixes.
Creates well-structured GitHub epics and sub-issues with Mermaid diagrams, acceptance criteria, story points, and dependency ordering. Supports master epics for full-system planning with phased order of operations. Works for new projects and adding features to existing codebases.
Gathers research material from multiple sources: local files, web pages, and library documentation via Context7. Compiles everything into a structured research summary. Use before epic planning to build a rich requirements base.
Orchestrates image generation (Flux), video production (LTX-2), text-to-speech (F5-TTS), and music generation (ACE-Step) through the OpenZigs media queue. Use when asked to create, generate, or find images, videos, audio, music, or any visual/audio content.
Fetch, triage, and fix unresolved PR review comments. Reads comment threads, validates each against code context and best practices, applies fixes, pushes, and resolves threads via GitHub API. Works as a sub-workflow of the Code Issue agent after a PR has been reviewed.
Interactive browser walkthrough skill. Launches Chrome, walks through a web app step-by-step, validates UI behavior visually, collects bugs with screenshots and console logs, and hands off to Code Issue for batch fixes.
Expert SEO strategist and competitive content analyst. Runs full content gap analysis against top-ranking competitors, extracts structured content metrics (word count, headings, TF-IDF keywords, readability), meta tags, schema markup, internal/external links, and image optimization data. Compares keyword coverage and heading structures, identifies SERP feature opportunities, and generates comprehensive Markdown reports with actionable recommendations. Supports multi-agent orchestration for parallel deep analysis.