component-mapper

Map affected components, dependencies, and data flow for a reported bug.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/yuridefranca/ai-prompts --skill component-mapper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: component-mapper
Source: https://github.com/yuridefranca/ai-prompts/tree/main/src/skills/component-mapper
Command: npx skills add https://github.com/yuridefranca/ai-prompts --skill component-mapper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clarifies which parts of a codebase are impacted by a bug or proposed change by identifying affected components, tracing upstream and downstream dependencies, and mapping data flow so engineers can plan safe, focused interventions.

Core Features & Use Cases

  • Identify primary and secondary components related to a bug report or improvement request and list file paths and roles.
  • Trace dependencies in both directions to reveal callers, callees, external APIs, and data stores that influence or are influenced by the target component.
  • Map data flow end-to-end to show where data originates, how it is transformed, where it is validated, and where it is persisted or exposed.
  • Use Case: During a bugfix workflow, produce a component map and dependency graph to reduce regression risk and surface documentation gaps before coding.

Quick Start

Use the component-mapper skill to identify affected components, trace upstream and downstream dependencies, and produce a data flow summary for the reported issue.

Frequently Asked Questions about component-mapper

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

FAQPage Schema
How do I map affected components and dependencies for a bugfix?

To map affected components for a bugfix, analyze repository files, error messages, and commit history to identify primary components, trace upstream and downstream dependencies, and generate a component map for safe interventions.

What is the best way to trace data flow across a codebase during an issue investigation?

Tracing data flow across a codebase involves mapping where data originates, how it is transformed, where validation occurs, and where it is persisted, revealing callers, callees, and external APIs influencing the target component.

Can I use component mapping for pre-change impact analysis when documentation is unclear?

Yes, component mapping supports pre-change impact analysis by tracing dependencies and data flow end-to-end, which surfaces documentation gaps and reduces regression risk before you start coding.

What do I need to trace dependencies and identify impacted files in a repository?

To trace dependencies and identify impacted files, you need access to repository files, error messages, commit history, and available documentation to accurately map primary, secondary, and external data store interactions.

Why should I map upstream and downstream dependencies before modifying code?

Mapping upstream and downstream dependencies before modifying code reveals callers, callees, and data stores that influence or are influenced by the target, ensuring focused interventions and reducing regression risk.