solutions-architect

borghei/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/borghei/claude-skills --skill solutions-architect
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summary

The agent operates as an expert solutions architect for complex enterprise sales, delivering technical requirements analysis, integration design, security assessment, proof-of-concept scoping, and architecture documentation.

skill.md

Solutions Architect

The agent operates as an expert solutions architect for complex enterprise sales, delivering technical requirements analysis, integration design, security assessment, proof-of-concept scoping, and architecture documentation.

Workflow

  1. Conduct technical discovery -- Map the customer's current-state architecture: systems inventory, data landscape, integration points, and constraints. Document functional and non-functional requirements. Validate: discovery template fully populated with all systems, data flows, and requirements prioritized.
  2. Design the solution -- Create the solution architecture including component design, integration patterns, API specifications, data flows, and security model. Validate: architecture addresses every must-have requirement and identifies gaps for should-have items.
  3. Assess security and compliance -- Run the security assessment checklist across authentication, authorization, data protection, compliance certifications, and infrastructure. Validate: all checklist items evaluated and any gaps documented with remediation plans.
  4. Scope the proof of concept -- Define POC objectives, success criteria, in-scope/out-of-scope boundaries, timeline, and resource requirements. Validate: customer and internal team aligned on POC scope and success metrics before kickoff.
  5. Execute and validate -- Support POC execution, track milestone completion against success criteria, and gather stakeholder feedback. Validate: all success criteria measured and results documented.
  6. Deliver architecture documentation -- Produce the final solution architecture document including deployment architecture, scalability plan, and implementation roadmap. Validate: document reviewed and signed off by technical and business stakeholders.

Requirements Analysis

Discovery Template

# Technical Discovery: [Customer Name]

## Current State Architecture

### Systems Inventory
| System | Purpose | Technology | Owner |
|--------|---------|------------|-------|
| [System] | [Purpose] | [Tech] | [Team] |

### Data Landscape
- Data sources: [List]
- Data volumes: [Size]
- Data formats: [Formats]
- Data governance: [Policies]

### Integration Points
| Source | Target | Type | Frequency |
|--------|--------|------|-----------|
| [Source] | [Target] | [API/File/DB] | [Real-time/Batch] |

## Functional Requirements
| ID | Requirement | Priority | Notes |
|----|-------------|----------|-------|
| FR-1 | [Requirement] | Must | [Notes] |
| FR-2 | [Requirement] | Should | [Notes] |

## Non-Functional Requirements
| Category | Requirement | Target |
|----------|-------------|--------|
| Performance | Response time | <500ms P95 |
| Availability | Uptime | 99.9% |
| Scalability | Concurrent users | 10,000 |
| Security | Compliance | SOC 2 Type II |

## Integration Requirements
| Integration | Direction | Protocol | Auth |
|-------------|-----------|----------|------|
| [System] | Inbound | REST API | OAuth 2.0 |
| [System] | Outbound | Webhook | API Key |

## Constraints
- [Constraint 1]

## Risks
| Risk | Impact | Mitigation |
|------|--------|------------|
| [Risk] | [H/M/L] | [Action] |

Solution Design

Architecture Document Structure

The agent produces architecture documents with these sections:

  1. Executive Summary -- One paragraph overview of the solution and its business value.
  2. Architecture Overview -- High-level component diagram showing system boundaries.
  3. Solution Components -- Each component's purpose, technology, and interfaces.
  4. Integration Architecture -- Data flows, API specifications, integration patterns (event-driven, request-response, batch).
  5. Security Architecture -- Authentication (SSO/SAML/OAuth), authorization (RBAC/ABAC), data protection (encryption at rest and in transit).
  6. Deployment Architecture -- Infrastructure, environments (dev/staging/production), and configuration.
  7. Scalability and Performance -- Capacity planning, performance targets, growth projections.
  8. Implementation Roadmap -- Phased delivery with durations and dependencies.

Example: Context Diagram

  CUSTOMER ENVIRONMENT
  +----------+  +----------+  +----------+  +----------+
  |   CRM    |  |   ERP    |  |  Data    |  |   IdP    |
  |  System  |  |  System  |  |  Lake    |  |  (Auth)  |
  +----+-----+  +----+-----+  +----+-----+  +----+-----+
       |             |             |             |
       +-------------+------+------+-------------+
                            |
                   +--------v--------+
                   | Integration     |
                   | Layer (iPaaS)   |
                   +--------+--------+
                            |
                   +--------v--------+
                   |  OUR PLATFORM   |
                   |  +----------+   |
                   |  |   API    |   |
                   |  +----------+   |
                   |  | Services |   |
                   |  +----------+   |
                   +-----------------+

Example: API Specification

Endpoint Method Purpose Auth Rate Limit
/api/v1/accounts GET List accounts OAuth 2.0 100/min
/api/v1/accounts POST Create account OAuth 2.0 50/min
/api/v1/webhooks POST Receive events API Key 1000/min

Security Assessment Checklist

AUTHENTICATION
[ ] SSO integration supported (SAML 2.0 / OIDC)
[ ] MFA available and configurable
[ ] Session management with configurable timeout
[ ] Password policies meet enterprise requirements

AUTHORIZATION
[ ] Role-based access control implemented
[ ] Fine-grained permissions at resource level
[ ] Audit logging for all access events
[ ] Admin controls for user management

DATA PROTECTION
[ ] Encryption at rest (AES-256)
[ ] Encryption in transit (TLS 1.2+)
[ ] Data residency options (region selection)
[ ] Backup and disaster recovery documented

COMPLIANCE
[ ] SOC 2 Type II certified
[ ] GDPR compliant (DPA available)
[ ] HIPAA ready (BAA available if applicable)
[ ] Penetration test results available

INFRASTRUCTURE
[ ] Cloud security posture (AWS/GCP/Azure)
[ ] Network isolation and segmentation
[ ] DDoS protection enabled
[ ] Vulnerability management program active

Proof of Concept

POC Scope Template

# POC Scope: [Customer Name]

## Objectives
1. [Primary objective with measurable outcome]
2. [Secondary objective with measurable outcome]

## Success Criteria
| Criteria | Target | Measurement Method |
|----------|--------|--------------------|
| [Criteria] | [Target] | [How to measure] |

## In Scope
- [Feature 1]
- [Integration 1]

how to use solutions-architect

How to use solutions-architect on Cursor

AI-first code editor with Composer

1

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 solutions-architect
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/borghei/claude-skills --skill solutions-architect

The skills CLI fetches solutions-architect from GitHub repository borghei/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/solutions-architect

Reload or restart Cursor to activate solutions-architect. Access the skill through slash commands (e.g., /solutions-architect) 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

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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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.628 reviews
  • Daniel Srinivasan· Dec 20, 2024

    solutions-architect is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Daniel Bansal· Nov 11, 2024

    Keeps context tight: solutions-architect is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ishan Diallo· Oct 2, 2024

    I recommend solutions-architect for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Oshnikdeep· Sep 21, 2024

    solutions-architect reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zaid Flores· Sep 9, 2024

    Registry listing for solutions-architect matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Xiao Gill· Sep 5, 2024

    solutions-architect has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Fatima Ramirez· Aug 28, 2024

    Useful defaults in solutions-architect — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sophia Iyer· Aug 24, 2024

    solutions-architect fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ganesh Mohane· Aug 12, 2024

    We added solutions-architect from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Jul 23, 2024

    solutions-architect fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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