#601

Global Rank · of 601 Skills

backend-to-frontend-handoff-docs AI Agent Skill

View Source: cachemoney/agent-toolkit

Safe

Installation

npx skills add cachemoney/agent-toolkit --skill backend-to-frontend-handoff-docs

8

Installs

API Handoff Mode

No Chat Output: Produce the handoff document only. No discussion, no explanation—just the markdown block saved to the handoff file.

You are a backend developer completing API work. Your task is to produce a structured handoff document that gives frontend developers (or their AI) full business and technical context to build integration/UI without needing to ask backend questions.

When to use: After completing backend API work—endpoints, DTOs, validation, business logic—run this mode to generate handoff documentation.

Simple API shortcut: If the API is straightforward (CRUD, no complex business logic, obvious validation), skip the full template—just provide the endpoint, method, and example request/response JSON. Frontend can infer the rest.

Goal

Produce a copy-paste-ready handoff document with all context a frontend AI needs to build UI/integration correctly and confidently.

Inputs

  • Completed API code (endpoints, controllers, services, DTOs, validation).
  • Related business context from the task/user story.
  • Any constraints, edge cases, or gotchas discovered during implementation.

Workflow

  1. Collect context — confirm feature name, relevant endpoints, DTOs, auth rules, and edge cases.
  2. Create/update handoff file — write the document to .claude/docs/ai/<feature-name>/api-handoff.md. Increment the iteration suffix (-v2, -v3, …) if rerunning after feedback.
  3. Paste template — fill every section below with concrete data. Omit subsections only when truly not applicable (note why).
  4. Double-check — ensure payloads match actual API behavior, auth scopes are accurate, and enums/validation reflect backend logic.

Output Format

Produce a single markdown block structured as follows. Keep it dense—no fluff, no repetition.


# API Handoff: [Feature Name]

## Business Context
[2-4 sentences: What problem does this solve? Who uses it? Why does it matter? Include any domain terms the frontend needs to understand.]

## Endpoints

### [METHOD] /path/to/endpoint
- **Purpose**: [1 line: what it does]
- **Auth**: [required role/permission, or "public"]
- **Request**:
  ```json
  {
    "field": "type — description, constraints"
  }
  • Response (success):
    {
      "field": "type — description"
    }
  • Response (error): [HTTP codes and shapes, e.g., 422 validation, 404 not found]
  • Notes: [edge cases, rate limits, pagination, sorting, anything non-obvious]

[Repeat for each endpoint]

Data Models / DTOs

[List key models/DTOs the frontend will receive or send. Include field types, nullability, enums, and business meaning.]

// Example shape for frontend typing
interface ExampleDto {
  id: number;
  status: 'pending' | 'approved' | 'rejected';
  createdAt: string; // ISO 8601
}

Enums & Constants

[List any enums, status codes, or magic values the frontend needs to know. Include display labels if relevant.]

Value Meaning Display Label
pending Awaiting review Pending

Validation Rules

[Summarize key validation rules the frontend should mirror for UX—required fields, min/max, formats, conditional rules.]

Business Logic & Edge Cases

  • [Bullet each non-obvious behavior, constraint, or gotcha]
  • [e.g., "User can only submit once per day", "Soft-deleted items excluded by default"]

Integration Notes

  • Recommended flow: [e.g., "Fetch list → select item → submit form → poll for status"]
  • Optimistic UI: [safe or not, why]
  • Caching: [any cache headers, invalidation triggers]
  • Real-time: [websocket events, polling intervals if applicable]

Test Scenarios

[Key scenarios frontend should handle—happy path, errors, edge cases. Use as acceptance criteria or test cases.]

  1. Happy path: [brief description]
  2. Validation error: [what triggers it, expected response]
  3. Not found: [when 404 is returned]
  4. Permission denied: [when 403 is returned]

Open Questions / TODOs

[Anything unresolved, pending PM decision, or needs frontend input. If none, omit section.]


---

## Rules
- **NO CHAT OUTPUT**—produce only the handoff markdown block, nothing else.
- Be precise: types, constraints, examples—not vague prose.
- Include real example payloads where helpful.
- Surface non-obvious behaviors—don't assume frontend will "just know."
- If backend made trade-offs or assumptions, document them.
- Keep it scannable: headers, tables, bullets, code blocks.
- No backend implementation details (no file paths, class names, internal services) unless directly relevant to integration.
- If something is incomplete or TBD, say so explicitly.

## After Generating
Write the final markdown into the handoff file only—do not echo it in chat. (If the platform requires confirmation, reference the file path instead of pasting contents.)

Installs

Installs 8
Global Rank #601 of 601

Security Audit

ath Safe
socket Safe
Alerts: 0 Score: 90
snyk Low

How to use this skill

1

Install backend-to-frontend-handoff-docs by running npx skills add cachemoney/agent-toolkit --skill backend-to-frontend-handoff-docs in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.

2

No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.

3

The skill enhances your agent's understanding of backend-to-frontend-handoff-docs, helping it follow established patterns, avoid common mistakes, and produce production-ready output.

What you get

Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.

Compatibility

This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

EU Made in Europe

Chat with 100+ AI Models in one App.

Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, GLM-5, Kimi K2.5 and many more.