Guided authoring, validation, and refinement of GitHub Agentic Workflow (gh-aw) markdown files. Includes fully autonomous daily intelligence pipeline (research, gap analysis, implementation, PR to develop), ecosystem monitoring, knowledge base management, and GitHub Discussions integration.
Fully autonomous daily pipeline for the aw-author plugin. Executes intelligence research (web search + GitHub activity queries), posts to Discussions, performs gap analysis against reference files, creates issues, implements changes on develop branch, creates PR, requests review, and auto-merges. Designed for…
Daily intelligence reporting for the GitHub Agentic Workflows (gh-aw) ecosystem. Executes 8+ targeted web searches, synthesizes findings into a structured Markdown report, updates the persistent knowledge base, and optionally posts to GitHub Discussions. Triggers on: "aw-report", "gh-aw report", "intelligence sweep"…
Instructions for zircote-plugins/github-agentic-workflows, covering agent instructions — aw-author plugin, what this repository is, key directories, branching and rules for all agents.
Deep analysis agent for GitHub Agentic Workflow (gh-aw) files. Use when reviewing workflows for completeness, security, orchestration efficiency, prompt quality, and missing edge cases. Triggers on workflow review, analysis, or audit requests. Examples: Context: User wants a thorough review of a workflow file. user…
Author, validate, and improve GitHub Agentic Workflow (gh-aw) markdown files. Use when the user wants to create a new workflow, validate an existing workflow, improve a workflow, or debug workflow issues. Triggers on: "aw-author", "agentic workflow", "gh-aw workflow", "workflow markdown", "workflow frontmatter"…
Swarm-orchestrated code refactoring and feature development with specialist agents. Supports multi-instance parallel agent spawning, blackboard context sharing, and interactive development gates.
Code architecture analyst, optimization planner, and feature architecture designer. Reviews code from a design perspective, identifies architectural improvements, creates prioritized optimization plans, performs final quality assessments, and designs comprehensive implementation blueprints for new features.
Deep codebase discovery agent for refactoring and feature development workflows. Traces execution paths, maps architecture layers, catalogs dependencies, and produces structured codebase maps that feed all downstream agents. Runs as Phase 0.5 in refactoring or as parallel explorers in feature development.
Implementation specialist for new feature development. Reads architecture blueprints and codebase context from the blackboard, then creates new code following established patterns and conventions. Designed for feature-dev workflows.
Code implementation specialist for refactoring workflows. Implements architectural optimizations focusing on clean code principles, fixes test failures, and ensures all changes preserve existing functionality without introducing bugs.
Test coverage analyzer and test case generator for refactoring workflows. Analyzes code coverage, adds missing test cases to meet production requirements, runs tests, and ensures all tests pass before proceeding with refactoring.
Code simplification specialist for refactoring workflows. Simplifies and refines recently changed code for clarity, consistency, and maintainability while preserving all functionality.
Guided feature development with swarm-orchestrated codebase exploration, multi-perspective architecture design, implementation, and quality review. Use this skill when the user wants to build a new feature, add new functionality, implement a capability, or create something that doesn't exist yet. Triggers on requests…