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octopus-architecture
System architecture and API design with multi-AI consensus — use for design reviews and new subsystems
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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System architecture and API design with multi-AI consensus — use for design reviews and new subsystems
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Reverse-engineer design systems, tokens, and components from live products or screenshots
Multi-AI requirements scoping using available external providers (Double Diamond Define phase)
Multi-AI validation, scoring, and review using available external providers (Double Diamond Deliver phase)
Multi-AI implementation using available external providers (Double Diamond Develop phase)
Multi-AI research using available external providers (Double Diamond Discover phase)
Decompose and execute large changes, migrations, or multi-issue fixes in parallel with quality gates
| name | octopus-architecture |
| description | System architecture and API design with multi-AI consensus — use for design reviews and new subsystems |
Host: Codex CLI — This skill was designed for Claude Code and adapted for Codex. Cross-reference commands use installed skill names in Codex rather than
/octo:*slash commands. Use the active Codex shell and subagent tools. Do not claim a provider, model, or host subagent is available until the current session exposes it. For host tool equivalents, seeskills/blocks/codex-host-adapter.md.
This skill uses ENFORCED execution mode. You MUST follow this exact sequence.
Check provider availability:
providers_output="$("${HOME}/.claude-octopus/plugin/scripts/helpers/check-providers.sh" 2>/dev/null || true)"
provider_status() {
provider="$1"
if printf '%s\n' "$providers_output" | grep -q "^${provider}:available"; then
echo "Available ✓"
else
echo "Not installed ✗"
fi
}
codex_status="$(provider_status codex)"
gemini_status="$(provider_status gemini)"
agy_status="$(provider_status agy)"
Display this banner BEFORE orchestrate.sh execution:
🐙 **CLAUDE OCTOPUS ACTIVATED** - Architecture design mode
🏗️ Architecture: [Brief description of system to design]
Provider Availability:
🔴 Codex CLI: ${codex_status} - Backend architecture patterns
🟡 Gemini CLI: ${gemini_status} - Alternative approaches
🧭 Antigravity CLI: ${agy_status} - Additional external-model challenge
🔵 Claude: Available ✓ - Synthesis and recommendations
💰 Estimated Cost: $0.02-0.08
⏱️ Estimated Time: 3-7 minutes
Validation:
/octo:setupDO NOT PROCEED TO STEP 2 until banner displayed.
You MUST execute this command via the native shell command tool:
${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh spawn backend-architect "<user's architecture request>"
CRITICAL: You are PROHIBITED from:
This is NOT optional. You MUST use the native shell command tool to invoke orchestrate.sh.
After orchestrate.sh completes, verify it succeeded:
# Check for persona output (varies by persona type)
# For spawn commands, check exit code and output
if [ $? -ne 0 ]; then
echo "❌ VALIDATION FAILED: orchestrate.sh spawn failed"
exit 1
fi
echo "✅ VALIDATION PASSED: Architecture design completed"
If validation fails:
~/.claude-octopus/logs/Present the architecture design from the persona execution.
Include attribution:
*Multi-AI Architecture Design powered by Claude Octopus*
*Providers: available external providers + 🔵 Claude*
Invokes the backend-architect persona for system design during the grasp (define) and tangle (develop) phases.
# Via orchestrate.sh
${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh spawn backend-architect "Design a scalable notification system"
# Via auto-routing (detects architecture intent)
${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh auto "architect the event-driven messaging system"
This skill wraps the backend-architect persona defined in:
agents/personas/backend-architect.mdcodexgpt-5.3-codexgrasp, tangleapi-design, microservices, distributed-systems"Design the API contract for the user service"
"Plan the event sourcing architecture"
"Design the caching strategy for the product catalog"
"Create a microservices decomposition plan"
For enhanced structural awareness during architecture design, leverage Claude Code's LSP tools:
Before defining architecture, gather structural context:
lsp_document_symbols - Understand existing module structure
lsp_find_references - Identify current dependencies
lsp_workspace_symbols - Find related patterns across codebase
During design validation:
lsp_goto_definition - Verify interface contracts
lsp_hover - Check type signatures
lsp_diagnostics - Identify type/interface mismatches
// Step 1: Understand existing structure
const symbols = await lsp_document_symbols("src/services/user.ts")
const references = await lsp_find_references("UserService", line=5, char=10)
// Step 2: Identify patterns in codebase
const patterns = await lsp_workspace_symbols("Service")
// Step 3: Design new architecture informed by existing patterns
// ... architecture design ...
// Step 4: Validate design with diagnostics
const issues = await lsp_diagnostics("src/services/*.ts")
This ensures architecture recommendations align with existing codebase patterns and type contracts.