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frontend-backend-mapper

Map frontend TypeScript API calls to Python backend endpoints and generate integration reports.

1|Updated Aug 12, 2025
Search Tags:#architecture#frontend#api#integration#backend#fullstack#mapping#genkit
One-click install
npx skills add https://github.com/okgoogle13/careercopilot --skill frontend-backend-mapper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: frontend-backend-mapper
Source: https://github.com/okgoogle13/careercopilot/tree/main/.claude/skills/frontend-backend-mapper
Command: npx skills add https://github.com/okgoogle13/careercopilot --skill frontend-backend-mapper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

In complex fullstack applications, it's challenging to keep track of all frontend API calls, their corresponding backend endpoints, and the underlying AI (Genkit) flows. This leads to integration gaps, unused code, and difficult debugging. This skill automates the mapping and analysis of these connections.

Core Features & Use Cases

  • Fullstack Integration Analysis: Scans frontend API services and backend endpoints to map their connections, identifying missing or unused components.
  • Genkit Flow Mapping: Integrates Genkit flow analysis to provide a complete data flow from UI components through API services to AI flows.
  • Detailed Reports & Diagrams: Generates a comprehensive INTEGRATION_MAP.md report with health scores, lists of issues, and visual Mermaid diagrams for clear understanding.
  • Use Case: Use this skill before a major deployment to ensure all new frontend features have corresponding backend support and Genkit flows, preventing runtime errors and ensuring a robust application.

Quick Start

Map all frontend API calls to backend endpoints and Genkit flows. Generate a detailed integration report and a visual Mermaid diagram.

Frequently Asked Questions about frontend-backend-mapper

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

FAQPage Schema
How do I map frontend API calls to backend endpoints?▼

Mapping frontend API calls to backend endpoints involves scanning your TypeScript API services and Python backend routes to identify which frontend requests connect to which backend handlers. This skill automates that process by analyzing frontend/api/*.ts and backend/app/api/endpoints/*.py files, then generates a report showing coverage, gaps, and type mismatches between layers.

What are integration gaps and how do I detect them?▼

Integration gaps occur when frontend API calls lack corresponding backend endpoints, or backend routes go unused by the frontend. Detection requires comparing all frontend service calls against all backend route definitions. This skill scans both layers, matches calls to routes, and flags missing endpoints, unused code, and unhandled requests in a health-scored report.

Can I trace data flows from frontend through backend to my database?▼

Yes, with the --include-database flag, this skill extends analysis beyond API mapping to trace complete data flows from UI components through API services, backend endpoints, and into database operations. You can also use --include-design-tokens to track design system usage across the stack.

How do I identify type mismatches between frontend and backend?▼

Type mismatches happen when frontend API calls send or expect data structures that don't match backend endpoint schemas. This skill extracts API patterns and route definitions from both layers, compares their types, and reports discrepancies. The mapping report highlights these conflicts so you can align contracts before deployment.

When should I run a fullstack integration analysis?▼

Run fullstack integration analysis before major deployments to verify all new frontend features have corresponding backend support and Genkit flows. It prevents runtime errors, catches unused endpoints, and ensures your frontend-backend contract is complete and consistent.

What does the integration report include?▼

The integration report (INTEGRATION_MAP.md) includes a health score, lists of coverage gaps, unused endpoints, type mismatches, actionable recommendations, and visual Mermaid diagrams. Optional flags extend the report with database flow traces and design token mappings for complete fullstack visibility.

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