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Design component architecture, REST API contracts, and data models (Pydantic schemas) before implementation. Use when planning how to build a feature, defining endpoints, or modeling data. Trigger on "design the architecture", "design the API", "data model", "how should I structure this feature".

Install

mkdir -p .claude/skills/design-matteocervelli && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15447" && unzip -o skill.zip -d .claude/skills/design-matteocervelli && rm skill.zip

Installs to .claude/skills/design-matteocervelli

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Design component architecture, REST API contracts, and data models (Pydantic schemas) before implementation. Use when planning how to build a feature, defining endpoints, or modeling data. Trigger on "design the architecture", "design the API", "data model", "how should I structure this feature".
297 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)

About this skill

Design — Architecture, API & Data Models

Unified design guidance for feature implementation. Auto-detects context from project files or accepts explicit mode.

Usage

/design                    # Auto-detect from project, show summary
/design architecture       # Component architecture, SOLID, patterns
/design api                # REST API design, auth, rate limiting
/design data               # Pydantic schemas, validators, relationships
/design full               # All three in sequence (architecture → data → API)

Workflow

Step 1: Determine Mode

Parse $ARGUMENTS for explicit mode. If no arguments provided, detect context:

DETECTED=$(bash "$HOME/.claude/skills/design/lib/design-detector.sh")

Map detection results to recommended mode:

  • pydantic,fastapi → suggest api + data
  • pydantic only → suggest data
  • fastapi or flask or django → suggest api
  • Generic Python/Node → suggest architecture
  • Unknown → show all summaries, let user choose

Step 2: Show Relevant Guidance

Based on detected or explicit mode, use progressive disclosure:

Level 1 — Summary (default, ~15 lines): Read and present the summary template for the chosen domain:

  • templates/architecture/summary.md
  • templates/api/summary.md
  • templates/data/summary.md

Level 2 — Patterns (on request for more detail, ~50 lines): Read the patterns template with decision guidance and examples:

  • templates/architecture/patterns.md
  • templates/api/patterns.md
  • templates/data/patterns.md

Level 3 — Full Reference (on request for complete SOP): Read the deep reference documents on demand:

  • reference/architecture-patterns.md + reference/component-design-guide.md
  • reference/api-design-guide.md + reference/function-design-patterns.md
  • reference/data-model-guide.md + reference/pydantic-patterns.md

Step 3: Handle Multiple Domains

If context suggests multiple domains (e.g., new feature with API + data):

  • Show summary for each detected domain
  • Let user choose which to dive deeper into
  • Or use /design full for the complete sequence

Step 4: No Context Detected

If detection returns "unknown" and no explicit mode:

  • Show all three summaries as overview
  • List available modes for user to choose

/design full Sequence

When running the full design workflow:

  1. Architecture first: Component boundaries, layers, patterns, DI
  2. Data models second: Pydantic schemas based on architecture components
  3. API contracts third: Endpoints and schemas using data models

Output uses templates/architecture-doc.md as the final document template.

Output

Write documents to docs/architecture/ in the project root:

SubcommandOutput Path
/design architecturedocs/architecture/architecture-{feature}.md
/design apidocs/architecture/api-{feature}.md
/design datadocs/architecture/data-{feature}.md
/design fulldocs/architecture/{feature}.md (combined)

Use templates/architecture-doc.md as the document template with sections:

  • Overview, Architecture Pattern, Component Design, Data Model, API Specification
  • Data Flows, Module Structure, Error Handling, Configuration
  • Testing Strategy, Security Considerations, Performance Considerations

Create docs/architecture/ if it doesn't exist.

Integration

Invoked by: User directly (/design), /story prp workflow (design phase) Invokes: Nothing directly — produces architecture docs consumed by prp-generator Connected skills:

  • /story create → requirements → /design → architecture doc → /story prp → PRP
  • /implementation consumes design output

Progressive Disclosure Rules

  • Never load reference/ docs unless user explicitly asks for full SOP or L3 detail
  • Default to L1 summary — enough to orient and decide
  • L2 patterns when user asks "how", "what pattern", "show me examples"
  • L3 full when user asks for "complete guide", "full reference", or specific deep topic

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