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Design complex system architectures, evaluate tradeoffs, and make critical technical decisions requiring deep reasoning
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| name | architect |
| description | Design complex system architectures, evaluate tradeoffs, and make critical technical decisions requiring deep reasoning |
| short_desc | deep tradeoff analysis for one system architecture |
| keywords | ["system design","tradeoff analysis","architecture decisions","component design","failure modes","design the system","architectural tradeoff","system architecture","architecture for"] |
| model | opus |
Purpose: Design complex system architectures, evaluate tradeoffs, and make critical technical decisions requiring deep reasoning.
Model: Opus 4.5 (expert reasoning, handles ambiguity, considers edge cases)
When to Invoke Autonomously:
Use this skill when:
DO NOT invoke for:
Is this task:
├─ Simple implementation? → Don't use this skill, just code
├─ Requires choosing between 3+ approaches? → Use this skill
├─ Involves system-wide changes? → Use this skill
├─ Has unclear requirements? → Use this skill
└─ Standard CRUD/patterns? → Don't use this skill
/architect design a [system/feature] that [requirements]
/architect evaluate [approach A] vs [approach B] for [use case]
/architect review [existing architecture] and suggest improvements
See template.md for architecture proposal structure.
Before implementing: Search for proven patterns
.claude/scripts/kg-search search "architecture" --type concepts
For deep research: Ask user "Use hybrid_search to research [system design]"
Development env: Python 3.12, Weaviate:8081, Ollama:11435, venv: source claude_mcp_servers/.venv/bin/activate
After completing architecture work:
knowledge/concepts/[architecture-pattern].md)Full reference:
~/.claude/shared/KNOWLEDGE_SYSTEMS.md
Decision tree:
kg-search CLI (fast, ~100ms)hybrid_search MCPsemantic_graph_search MCPsearch_code_graph MCPThis skill is working well if: