breakdown-feature-implementation — GitHub Copilot skill for feature
This skill turns a Feature PRD into a technical implementation plan covering architecture, data models, APIs, and frontend structure. Use it to map a feature before coding starts.
npx skills add github/awesome-copilot --skill breakdown-feature-implementationWhat breakdown-feature-implementation does
Give the skill a Feature PRD and it produces a Markdown implementation plan. The plan covers goals and requirements, system architecture, database design, API details, frontend structure, security, and performance. It calls for Mermaid diagrams and TypeScript API types. The output should not contain code, except pseudocode for technical cases.
The plan is saved to /docs/ways-of-work/plan/{epic-name}/{feature-name}/implementation-plan.md. Its file layout follows the Epoch monorepo structure: apps/, services/, and packages/. The prompt also names tRPC, Stack Auth, shadcn/ui, Zustand, and React Query, so check that these assumptions fit your project. Install it when your workflow starts with a PRD and you want a detailed plan before implementation.
What it helps with
- turn a Feature PRD into requirements and implementation steps
- map boundaries between the frontend, API, and business logic
- draft Mermaid diagrams for architecture and data models
- specify API requests, responses, and TypeScript types
Example prompts for the agent
- Create an implementation plan from this Feature PRD and save it to the requested path.
- Draw a Mermaid architecture diagram for this feature, including request and event flows.
- Describe the data model, API, and frontend components for this feature.
How to install breakdown-feature-implementation
1Skills CLI (Vercel)
npx skills add github/awesome-copilot --skill breakdown-feature-implementation2GitHub CLI
gh skill install github/awesome-copilot breakdown-feature-implementation3Manually: put the files in place
.github/skills/breakdown-feature-implementation/SKILL.md1Skills CLI (Vercel)
npx skills add github/awesome-copilot --skill breakdown-feature-implementation -a claude-code2Manually: put the files in place
~/.claude/skills/breakdown-feature-implementation/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/breakdown-feature-implementation/
Manually: put the files in place
.agents/skills/breakdown-feature-implementation/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/breakdown-feature-implementation/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
Platform CLI
gemini skills install https://github.com/github/awesome-copilot --path skills/breakdown-feature-implementationManually: put the files in place
.devin/skills/breakdown-feature-implementation/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set554
The whole set →Similar
Questions about breakdown-feature-implementation
How do I install breakdown-feature-implementation in GitHub Copilot?
Run npx skills add github/awesome-copilot --skill breakdown-feature-implementation or gh skill install github/awesome-copilot breakdown-feature-implementation.
What does breakdown-feature-implementation do?
It turns a Feature PRD into a Markdown implementation plan covering requirements, architecture, database design, APIs, and frontend structure. It avoids writing code, apart from possible pseudocode.
What input does the skill need?
Provide the Feature PRD. The plan assumes an Epoch-style monorepo and describes technologies such as tRPC and Stack Auth.
Source text
SKILL.md · MIT
---
name: breakdown-feature-implementation
description: 'Prompt for creating detailed feature implementation plans, following Epoch monorepo structure.'
---
# Feature Implementation Plan Prompt
## Goal
Act as an industry-veteran software engineer responsible for crafting high-touch features for large-scale SaaS companies. Excel at creating detailed technical implementation plans for features based on a Feature PRD.
Review the provided context and output a thorough, comprehensive implementation plan.
**Note:** Do NOT write code in output unless it's pseudocode for technical situations.
## Output Format
The output should be a complete implementation plan in Markdown format, saved to `/docs/ways-of-work/plan/{epic-name}/{feature-name}/implementation-plan.md`.
### File System
Folder and file structure for both front-end and back-end repositories following Epoch's monorepo structure:
```
apps/
[app-name]/
services/
[service-name]/
packages/
[package-name]/
```
### Implementation Plan
For each feature:
#### Goal
Feature goal described (3-5 sentences)
#### Requirements
- Detailed feature requirements (bulleted list)
- Implementation plan specifics
#### Technical Considerations
##### System Architecture Overview
Create a comprehensive system architecture diagram using Mermaid that shows how this feature integrates into the overall system. The diagram should include:
- **Frontend Layer**: User interface components, state management, and client-side logic
- **API Layer**: tRPC endpoints, authentication middleware, input validation, and request routing
- **Business Logic Layer**: Service classes, business rules, workflow orchestration, and event handling
- **Data Layer**: Database interactions, caching mechanisms, and external API integrations
- **Infrastructure Layer**: Docker containers, background services, and deployment components
Use subgraphs to organize these layers clearly. Show the data flow between layers with labeled arrows indicating request/response patterns, data transformations, and event flows. Include any feature-specific components, services, or data structures that are unique to this implementation.
- **Technology Stack Selection**: Document choice rationale for each layer
- **Integration Points**: Define clear boundaries and communication protocols
- **Deployment Architecture**: Docker containerization strategy
- **Scalability Considerations**: Horizontal and vertical scaling approaches
##### Database Schema Design
Create an entity-relationship diagram using Mermaid showing the feature's data model:
- **Table Specifications**: Detailed field definitions with types and constraints
- **Indexing Strategy**: Performance-critical indexes and their rationale
- **Foreign Key Relationships**: Data integrity and referential constraints
- **Database Migration Strategy**: Version control and deployment approach
##### API Design
- Endpoints with full specifications
- Request/response formats with TypeScript types
- Authentication and authorization with Stack Auth
- Error handling strategies and status codes
- Rate limiting and caching strategies
##### Frontend Architecture
###### Component Hierarchy Documentation
The component structure will leverage the `shadcn/ui` library for a consistent and accessible foundation.
**Layout Structure:**
```
Recipe Library Page
├── Header Section (shadcn: Card)
│ ├── Title (shadcn: Typography `h1`)
│ ├── Add Recipe Button (shadcn: Button with DropdownMenu)
│ │ ├── Manual Entry (DropdownMenuItem)
│ │ ├── Import from URL (DropdownMenuItem)
│ │ └── Import from PDF (DropdownMenuItem)
│ └── Search Input (shadcn: Input with icon)
├── Main Content Area (flex container)
│ ├── Filter Sidebar (aside)
│ │ ├── Filter Title (shadcn: Typography `h4`)
│ │ ├── Category Filters (shadcn: Checkbox group)
│ │ ├── Cuisine Filters (shadcn: Checkbox group)
│ │ └── Difficulty Filters (shadcn: RadioGroup)
│ └── Recipe Grid (main)
│ └── Recipe Card (shadcn: Card)
│ ├── Recipe Image (img)
│ ├── Recipe Title (shadcn: Typography `h3`)
│ ├── Recipe Tags (shadcn: Badge)
│ └── Quick Actions (shadcn: Button - View, Edit)
```
- **State Flow Diagram**: Component state management using Mermaid
- Reusable component library specifications
- State management patterns with Zustand/React Query
- TypeScript interfaces and types
##### Security Performance
- Authentication/authorization requirements
- Data validation and sanitization
- Performance optimization strategies
- Caching mechanisms
## Context Template
- **Feature PRD:** [The content of the Feature PRD markdown file]
© github · MIT · github/awesome-copilot