breakdown-epic-arch▌
github/awesome-copilot · updated Apr 8, 2026
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Architectural planning prompt for translating product requirements into modular, scalable technical specifications.
- ›Generates comprehensive Epic Architecture Specifications in Markdown, including system diagrams, feature lists, and technology stack recommendations
- ›Enforces domain-driven design patterns with Docker containerization, TypeScript/Next.js, Turborepo monorepos, tRPC APIs, and Stack Auth authentication
- ›Produces Mermaid diagrams spanning user, application, service, data, and
Epic Architecture Specification Prompt
Goal
Act as a Senior Software Architect. Your task is to take an Epic PRD and create a high-level technical architecture specification. This document will guide the development of the epic, outlining the major components, features, and technical enablers required.
Context Considerations
- The Epic PRD from the Product Manager.
- Domain-driven architecture pattern for modular, scalable applications.
- Self-hosted and SaaS deployment requirements.
- Docker containerization for all services.
- TypeScript/Next.js stack with App Router.
- Turborepo monorepo patterns.
- tRPC for type-safe APIs.
- Stack Auth for authentication.
Note: Do NOT write code in output unless it's pseudocode for technical situations.
Output Format
The output should be a complete Epic Architecture Specification in Markdown format, saved to /docs/ways-of-work/plan/{epic-name}/arch.md.
Specification Structure
1. Epic Architecture Overview
- A brief summary of the technical approach for the epic.
2. System Architecture Diagram
Create a comprehensive Mermaid diagram that illustrates the complete system architecture for this epic. The diagram should include:
- User Layer: Show how different user types (web browsers, mobile apps, admin interfaces) interact with the system
- Application Layer: Depict load balancers, application instances, and authentication services (Stack Auth)
- Service Layer: Include tRPC APIs, background services, workflow engines (n8n), and any epic-specific services
- Data Layer: Show databases (PostgreSQL), vector databases (Qdrant), caching layers (Redis), and external API integrations
- Infrastructure Layer: Represent Docker containerization and deployment architecture
Use clear subgraphs to organize these layers, apply consistent color coding for different component types, and show the data flow between components. Include both synchronous request paths and asynchronous processing flows where relevant to the epic.
3. High-Level Features & Technical Enablers
- A list of the high-level features to be built.
- A list of technical enablers (e.g., new services, libraries, infrastructure) required to support the features.
4. Technology Stack
- A list of the key technologies, frameworks, and libraries to be used.
5. Technical Value
- Estimate the technical value (e.g., High, Medium, Low) with a brief justification.
6. T-Shirt Size Estimate
- Provide a high-level t-shirt size estimate for the epic (e.g., S, M, L, XL).
Context Template
- Epic PRD: [The content of the Epic PRD markdown file]
How to use breakdown-epic-arch on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add breakdown-epic-arch
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches breakdown-epic-arch from GitHub repository github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate breakdown-epic-arch. Access the skill through slash commands (e.g., /breakdown-epic-arch) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★33 reviews- ★★★★★Meera Mensah· Dec 24, 2024
Solid pick for teams standardizing on skills: breakdown-epic-arch is focused, and the summary matches what you get after install.
- ★★★★★Dhruvi Jain· Dec 16, 2024
breakdown-epic-arch reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Pratham Ware· Dec 12, 2024
Solid pick for teams standardizing on skills: breakdown-epic-arch is focused, and the summary matches what you get after install.
- ★★★★★Oshnikdeep· Nov 7, 2024
I recommend breakdown-epic-arch for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ganesh Mohane· Oct 26, 2024
Useful defaults in breakdown-epic-arch — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aarav Huang· Sep 21, 2024
We added breakdown-epic-arch from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Anika Liu· Sep 17, 2024
Keeps context tight: breakdown-epic-arch is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yuki Jackson· Sep 1, 2024
breakdown-epic-arch fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Amina Anderson· Aug 20, 2024
We added breakdown-epic-arch from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Maya Martin· Aug 12, 2024
breakdown-epic-arch fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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