developing-plan-reviewers

Create domain-specialized AI reviewer agents for project planning workflows.

2|Updated Aug 6, 2021

Search Tags:#planning #code review #workflow automation #ai agents #reviewers #domain specific

Ready to run

npx skills add https://github.com/MrPointer/dotfiles --skill developing-plan-reviewers

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: developing-plan-reviewers
Source: https://github.com/MrPointer/dotfiles/tree/main/dot_claude/skills/developing-plan-reviewers
Command: npx skills add https://github.com/MrPointer/dotfiles --skill developing-plan-reviewers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables the creation of specialized AI reviewer agents that can critically assess specific aspects of project plans, ensuring domain-specific correctness beyond generic checks.

Core Features & Use Cases

Custom Reviewer Agents: Define and deploy AI agents tailored to review sub-plans related to specific domains like Go code, API layers, or database schemas.
Domain Specialization: Leverage pre-loaded skills to imbue reviewers with deep knowledge of conventions, patterns, and pitfalls within their domain.
Use Case: When planning a new feature that involves complex database interactions, you can deploy a plan-database-reviewer agent to ensure the proposed schema changes and queries adhere to project standards and best practices.

Quick Start

Use the developing-plan-reviewers skill to create a new reviewer agent for Go code.

Frequently Asked Questions about developing-plan-reviewers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create AI agents to review project feature plans for domain-specific correctness?▼

Domain-specific AI reviewers are specialized agents that assess project feature plans against established conventions and patterns. They integrate with planning phases to evaluate sub-plans for correctness within specific domains like Go code, API layers, or database schemas.

What's the best way to automate code review for database schema changes during project planning?▼

Automating code review for database schemas involves deploying a plan-database-reviewer agent to ensure proposed schema changes adhere to project standards. You define the reviewer scope, output format, and inject domain knowledge to evaluate the sub-plans.

Can I use preloaded skills to inject domain knowledge into custom AI reviewers?▼

Yes, you can leverage pre-loaded skills to imbue custom AI reviewer agents with deep knowledge of conventions, patterns, and pitfalls within their domain. This allows the reviewers to effectively evaluate sub-plans for domain-specific correctness.

How do I define the scope and output format for an AI reviewer agent?▼

You define the scope and output format for an AI reviewer agent during the agent development process. This configuration enables the reviewer to focus on specific aspects of project plans and return evaluations formatted to your workflow requirements.

When do I need a specialized AI reviewer agent instead of generic code review?▼

You need a specialized AI reviewer agent when planning features involving complex domain interactions, such as database schemas or API layers, where generic checks are insufficient. Domain-specialized reviewers ensure proposed changes adhere to specific project standards and best practices.