What is the primary purpose of the Discovery Report Generator skill?

It provides a standardized markdown format for summarizing codebase research, ensuring all technical risks, patterns, and dependencies are documented before starting a development task.

How does it help with dependency management?

The skill categorizes dependencies into Direct, Reverse, and External types, helping developers identify what the new code will use and what existing code might be affected by changes.

Can it help choose between different architectural approaches?

Yes, it includes an Approach Assessment section that evaluates whether a single clear path exists based on evidence or if multiple directions should be presented to the user.

Is this skill meant for users or other AI agents?

Both. While it provides a highly readable report for users, the structured format is specifically designed to be consumed by subsequent agents in a planning workflow, such as plan-writers.

What kinds of risks does this skill identify?

It identifies Technical, Scope, and Dependency risks, assigning them High, Medium, or Low severity levels along with specific mitigation strategies.

Discovery Report Generator

Name: Discovery Report Generator
Author: mrstroz

bymrstroz

•

開発者ツール

Standardizes the presentation of codebase exploration findings to provide actionable intelligence for technical planning.

The Discovery Report Generator is a specialized skill designed to bridge the gap between codebase exploration and implementation planning. It provides a rigorous framework for Claude to document existing code patterns, map complex dependency relationships, and identify technical risks with severity ratings. By utilizing a structured decision tree to determine if a task has a single clear path or requires multiple architectural options, it ensures that both human developers and downstream AI agents have a comprehensive, risk-aware understanding of the technical landscape before a single line of code is written.

主な機能

01Tri-level dependency tracking covering direct, reverse, and external links

02Standardized clarification checklist for tracking unresolved technical questions

03Risk assessment matrix with severity levels and mitigation strategies

041 GitHub stars

05Structured pattern identification with file-specific relevance mapping

06Approach assessment logic for single vs. multiple implementation paths

ユースケース

01Technical auditing of existing patterns to ensure architectural consistency

02Pre-implementation analysis for complex feature requests in large repositories

03Risk assessment and dependency mapping before major refactoring tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mrstroz/claude-code-plugins discovery-output

For use in Claude.ai and ChatGPT

Download Skill