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Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Augments the external pr-review-toolkit plugin with scope-drift detection (compare stated intent to actual diff) and a Fix-First output format (AUTO-FIXED vs NEEDS INPUT). Ported from garrytan/gstack review skill.
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
AI-generated screenshots and walkthrough videos for pull requests: desktop + mobile, light + dark, annotated with captions.
from marxbiotech/pr-review-toolkit
Three-phase GitHub PR pipeline: script-first review with structured findings, automated preparation with CI gates, and deterministic squash merge with co-author trailers
Practical skills that teach AI agents to get things done โ Gmail organization, morning triage, meeting minutes, code review, design planning, and more.
Reasoning methodology layer for AI agents โ classifies problems, routes to reasoning protocols, and validates designs before execution
Decomposes a Product Requirements Document (PRD) into domain-specific specs for AI Agent consumption
Build a structured PRD connecting problem, users, solution, and success criteria.
Manage Product Requirements Documents (PRDs) to gate feature development behind structured requirements and track implementation status
12 parallel subagent checks + 3 auto-fixers for Supabase + Vercel + Next.js security and reliability
Systematically identify how a plan or design could fail before committing to it.
Precision Agriculture specialist team โ 4 agents, 5 skills, 4-file cited knowledge bank, 3 templates, 5 commands, 8 best-practice rules, 1 advisory hook. An agronomy-and-farm-operations team for a grower, farm manager, or ag retailer โ it manages inputs to agronomic and economic return (not maximum yield), reads yield by management zone rather than field average, times operations to the agronomic and weather window, and reads the farm P&L per acre the way an operator who lives the margin does. Inherits ravenclaude-core protocols.
FEP/World-Models scaffolding for stable LLM coding agents: predict-before-act, inspectable belief state, and surprise-triggered reflection.
Version-aware Prefect 3 guidance: a live docs-lookup protocol, CLI-first instance queries, and house standards. Prefect 2.x out of scope.
Preferencias de comunicaciรณn + principios de trabajo.
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Presentation builder: create interactive Reveal.js presentations from JSON with Mermaid diagrams, LaTeX math, code highlighting, and animated reveals