Skip to content
Agentmart
Submit a tool
This entry duplicates breakdown-feature-implementation, which is the one we list in search.

breakdown-feature-implementation

Prompt for creating detailed feature implementation plans, following Epoch monorepo structure.

Skill by pubgo

IndexedMIT
Write a review

Chalk Labs

Need help deploying breakdown-feature-implementation?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/pubgo-breakdown-feature-implementation

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Prompt for creating detailed feature implementation plans, following Epoch monorepo structure.

Use cases: agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions: not checked yet.

What's inside

Skill name
breakdown-feature-implementation
Description
Prompt for creating detailed feature implementation plans, following Epoch monorepo structure.
License
MIT
Instructions
125 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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
```

- **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

From pubgo/agentdocs, MIT.

Signals

Stars
0
Forks
1
Open issues
0
Last commit (this folder)
May 31, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from pubgo

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get breakdown-feature-implementation running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying breakdown-feature-implementation?

CallGet help
Cite this page

breakdown-feature-implementation skill. Agent Mart. https://agentmart.dev/skills/pubgo-breakdown-feature-implementation (last updated 2026-10-24)