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Solution Architecture

skill-patonkikh-apes-solution-architecture · by patonkikh

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Install

$ agentstack add skill-patonkikh-apes-solution-architecture

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

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About

Solution Architecture

Purpose

Design a solution architecture from PRD and constraints: identify components, integration patterns, technology options, and quality attribute trade-offs.

Input: PRD or requirements, NFRs, constraints (cloud, team, budget, compliance) Output: Solution Architecture document with component model, integration view, and technology recommendations References: See [references.md](references.md) for domain cheat sheets. Examples: See [examples.md](examples.md) for worked input/output.


Workflow

Step 1: Extract architectural drivers

From input, identify:

  • Functional capabilities (from FRs)
  • Quality attributes (performance, security, scalability, availability, maintainability)
  • Constraints (must-use tech, regulatory, timeline, team skills)
  • Assumptions and unknowns

Step 2: Define architectural principles

Establish 3–5 decision principles for this solution:

  • Example: "Prefer managed services over self-hosted for MVP"
  • Example: "Event-driven for async workflows; sync API for user-facing reads"

Each principle must guide trade-off decisions.

Step 3: Propose logical component model

Decompose into logical components:

| Component | Responsibility | Interfaces | |-----------|----------------|------------|

Group by capability, not by team or org chart.

Step 4: Select integration patterns

For each component interaction, specify:

  • Pattern: sync REST, async messaging, event bus, batch, shared DB (discourage)
  • Data flow direction
  • Failure handling approach

Step 5: Evaluate technology options

For each major component, provide 2–3 options with trade-off table:

| Option | Pros | Cons | Fit score |

Recommend one option with rationale tied to architectural drivers.

Step 6: Document risks and open decisions

List architectural risks and decisions requiring ADR.

Step 7: Validate

Run Validation checklist.


Decision Rules

| Condition | Action | |-----------|--------| | No PRD or requirements | Stop; request PRD or run product/prd-generator | | NFRs missing | Add minimum NFRs (security, availability, performance) before design | | Single obvious architecture | Still document rejected alternatives with rationale | | Constraint conflicts with recommendation | Flag conflict; present compliant alternative | | Premature technology choice in PRD | Separate product requirements from architecture decisions |


Validation

  • [ ] Architectural drivers documented (FRs + NFRs + constraints)
  • [ ] 3–5 architectural principles defined
  • [ ] Component model covers all Must-have FRs
  • [ ] Integration pattern specified for each interaction
  • [ ] Technology options include trade-off rationale
  • [ ] Risks and open decisions listed
  • [ ] No implementation code or detailed API specs (defer to api-designer)

Anti-patterns

  • Big ball of mud — single monolithic component without boundaries.
  • Resume-driven architecture — choosing tech for novelty, not drivers.
  • Shared database integration — components coupled through one DB without justification.
  • Ignoring NFRs — functional-only architecture.
  • Copy-paste reference architecture — applying microservices without scale justification.

Best Practices

  • Align with C4 model progression: solution → context → container.
  • Document rejected alternatives (supports future ADRs).
  • Map each component to FR IDs for traceability.
  • Prefer simplest architecture that meets NFRs (YAGNI).
  • Flag decisions needing ADR before implementation.

Output Structure

# Solution Architecture: [System Name]

## Architectural Drivers
| Driver | Source | Priority |
|--------|--------|----------|

## Principles
| # | Principle | Implication |
|---|-----------|-------------|

## Component Model
| Component | Responsibility | FRs covered |
|-----------|----------------|-------------|

## Integration View
| From | To | Pattern | Data | Failure handling |
|------|----|---------|------|------------------|

## Technology Recommendations
| Component | Recommended | Alternatives | Rationale |
|-----------|-------------|--------------|-----------|

## Quality Attribute Analysis
| Attribute | Approach | Risk |
|-----------|----------|------|

## Open Decisions
| Decision | Options | Recommended ADR |
|----------|---------|-----------------|

## Risks
| Risk | Impact | Mitigation |
|------|--------|------------|

Next Skills

| Outcome | Recommended Skill | |---------|-------------------| | Document context diagram | architecture/system-context-builder | | Design APIs | architecture/api-designer | | Record key decisions | architecture/adr-generator | | Review architecture | architecture/architecture-review | | PRD missing | product/prd-generator |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.