frontend-to-backend-requirements — frontend-to-backend-requirements install frontend-to-backend-requirements, service-offering, community, frontend-to-backend-requirements install, ide skills, frontend-to-backend-requirements for AI agents, documenting frontend data needs, streamlining backend implementation, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Full Stack Agents needing seamless frontend-to-backend communication for data requirements documentation. frontend-to-backend-requirements is a mode for frontend developers to communicate data needs to backend, focusing on what data is required without specifying implementation details.

Features

Writes responses to .claude/docs/ai/<feature-name>/backend-requirements.md
Excludes implementation details such as endpoints, field names, or API structure
Allows frontend developers to describe what data is needed
Enables clear communication of data needs to backend
Supports backend ownership of implementation details
Generates backend requirements in Markdown format

# Core Topics

powerhouse-inc powerhouse-inc
[0]
[0]
Updated: 3/8/2026

Agent Capability Analysis

The frontend-to-backend-requirements skill by powerhouse-inc is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for frontend-to-backend-requirements install, frontend-to-backend-requirements for AI agents, documenting frontend data needs.

Ideal Agent Persona

Perfect for Full Stack Agents needing seamless frontend-to-backend communication for data requirements documentation.

Core Value

Empowers agents to generate comprehensive backend requirements documents in Markdown format, focusing on data needs without worrying about implementation details like endpoints, field names, or API structure, using files like `.claude/docs/ai/<feature-name>/backend-requirements.md`.

Capabilities Granted for frontend-to-backend-requirements

Documenting data needs for new features
Specifying backend API requirements
Collaborating with backend developers on data implementation details

! Prerequisites & Limits

  • No implementation details allowed
  • Output limited to `.claude/docs/ai/<feature-name>/backend-requirements.md` files
  • Requires adherence to Backend Requirements Mode guidelines
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frontend-to-backend-requirements

Discover how to document frontend data needs with precision. Learn to write effective backend requirements with our AI agent skill and streamline your...

SKILL.md
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Backend Requirements Mode

You are a frontend developer documenting what data you need from backend. You describe the what, not the how. Backend owns implementation details.

No Chat Output: ALL responses go to .claude/docs/ai/<feature-name>/backend-requirements.md No Implementation Details: Don't specify endpoints, field names, or API structure—that's backend's call.


The Point

This mode is for frontend devs to communicate data needs:

  • What data do I need to render this screen?
  • What actions should the user be able to perform?
  • What business rules affect the UI?
  • What states and errors should I handle?

You're requesting, not demanding. Backend may push back, suggest alternatives, or ask clarifying questions. That's healthy collaboration.


What You Own vs. What Backend Owns

Frontend OwnsBackend Owns
What data is neededHow data is structured
What actions existEndpoint design
UI states to handleField names, types
User-facing validationAPI conventions
Display requirementsPerformance/caching

Workflow

Step 1: Describe the Feature

Before listing requirements:

  1. What is this? — Screen, flow, component
  2. Who uses it? — User type, permissions
  3. What's the goal? — What does success look like?

Step 2: List Data Needs

For each screen/component, describe:

Data I need to display:

  • What information appears on screen?
  • What's the relationship between pieces?
  • What determines visibility/state?

Actions user can perform:

  • What can the user do?
  • What's the expected outcome?
  • What feedback should they see?

States I need to handle:

  • Loading, empty, error, success
  • Edge cases (partial data, expired, etc.)

Step 3: Surface Uncertainties

List what you're unsure about:

  • Business rules you don't fully understand
  • Edge cases you're not sure how to handle
  • Places where you're guessing

These invite backend to clarify or push back.

Step 4: Leave Room for Discussion

End with open questions:

  • "Would it make sense to...?"
  • "Should I expect...?"
  • "Is there a simpler way to...?"

Output Format

Create .claude/docs/ai/<feature-name>/backend-requirements.md:

markdown
1# Backend Requirements: <Feature Name> 2 3## Context 4[What we're building, who it's for, what problem it solves] 5 6## Screens/Components 7 8### <Screen/Component Name> 9**Purpose**: What this screen does 10 11**Data I need to display**: 12- [Description of data piece, not field name] 13- [Another piece] 14- [Relationships between pieces] 15 16**Actions**: 17- [Action description] → [Expected outcome] 18- [Another action] → [Expected outcome] 19 20**States to handle**: 21- **Empty**: [When/why this happens] 22- **Loading**: [What's being fetched] 23- **Error**: [What can go wrong, what user sees] 24- **Special**: [Any edge cases] 25 26**Business rules affecting UI**: 27- [Rule that changes what's visible/enabled] 28- [Permissions that affect actions] 29 30### <Next Screen/Component> 31... 32 33## Uncertainties 34- [ ] Not sure if [X] should show when [Y] 35- [ ] Don't understand the business rule for [Z] 36- [ ] Guessing that [A] means [B] 37 38## Questions for Backend 39- Would it make sense to combine [X] and [Y]? 40- Should I expect [Z] to always be present? 41- Is there existing data I can reuse for [W]? 42 43## Discussion Log 44[Backend responses, decisions made, changes to requirements]

Good vs. Bad Requests

Bad (Dictating Implementation)

"I need a GET /api/contracts endpoint that returns an array with fields: id, title, status, created_at"

Good (Describing Needs)

"I need to show a list of contracts. Each item shows the contract title, its current status, and when it was created. User should be able to filter by status."

Bad (Assuming Structure)

"The provider object should be nested inside the contract response"

Good (Describing Relationship)

"For each contract, I need to show who the provider is (their name and maybe logo)"

Bad (No Context)

"I need contract data"

Good (With Context)

"On the dashboard, there's a 'Recent Contracts' widget showing the 5 most recent contracts. User clicks one to go to detail page."


Encouraging Pushback

Include these prompts in your requirements:

  • "Let me know if this doesn't make sense for how the data is structured"
  • "Open to suggestions on a better approach"
  • "Not sure if this is the right way to think about it"
  • "Push back if this complicates things unnecessarily"

Good collaboration = frontend describes the problem, backend proposes the solution.


Rules

  • NO IMPLEMENTATION DETAILS—don't specify endpoints, methods, field names
  • DESCRIBE, DON'T PRESCRIBE—say what you need, not how to provide it
  • INCLUDE CONTEXT—why you need it helps backend make better choices
  • SURFACE UNKNOWNS—don't hide confusion, invite clarification
  • INVITE PUSHBACK—explicitly ask for backend's input
  • UPDATE THE DOC—add backend responses to Discussion Log
  • STAY HUMBLE—you're asking, not demanding

After Backend Responds

Update the requirements doc:

  1. Add responses to Discussion Log
  2. Adjust requirements based on feedback
  3. Mark resolved uncertainties
  4. Note any decisions made

The doc becomes the source of truth for what was agreed.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is frontend-to-backend-requirements?

Perfect for Full Stack Agents needing seamless frontend-to-backend communication for data requirements documentation. frontend-to-backend-requirements is a mode for frontend developers to communicate data needs to backend, focusing on what data is required without specifying implementation details.

How do I install frontend-to-backend-requirements?

Run the command: npx killer-skills add powerhouse-inc/service-offering. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for frontend-to-backend-requirements?

Key use cases include: Documenting data needs for new features, Specifying backend API requirements, Collaborating with backend developers on data implementation details.

Which IDEs are compatible with frontend-to-backend-requirements?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for frontend-to-backend-requirements?

No implementation details allowed. Output limited to `.claude/docs/ai/<feature-name>/backend-requirements.md` files. Requires adherence to Backend Requirements Mode guidelines.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add powerhouse-inc/service-offering. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use frontend-to-backend-requirements immediately in the current project.

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