/sc:analyze src/ --focus security

User: "Check if this code has security issues"
↓
Intent Detection: security_analysis
↓
Capability: summarize
↓
Implementation: sequential-thinking + serena (code read)
↓
Output: Security analysis report

/sc:save --type learnings

User: "Remember this pattern for next time"
↓
Intent Detection: store_knowledge
↓
Capability: record
↓
Implementation: mindbase.store_memory()
↓
Output: Pattern stored with semantic embedding

# AIRIS MCP Gateway Configuration
version: "1.0"
capabilities:
  search:
    description: "Web/docs/code search"
    implementations:
      - name: tavily
        priority: 1
        conditions:
          - intent: "web_search"
          - intent: "current_events"
      - name: context7
        priority: 2
        conditions:
          - intent: "library_docs"
          - intent: "api_reference"
      - name: fetch
        priority: 3
        conditions:
          - intent: "specific_url"
          - intent: "http_request"
    fallback: fetch

  summarize:
    description: "Extract, analyze, compare"
    implementations:
      - name: sequential-thinking
        priority: 1
        conditions:
          - complexity: "high"
          - multi_step: true
      - name: native
        priority: 2
        conditions:
          - complexity: "low"
    fallback: native

  retrieve:
    description: "Knowledge base access"
    implementations:
      - name: mindbase
        priority: 1
        conditions:
          - scope: "project"
          - scope: "cross_session"
      - name: memory
        priority: 2
        conditions:
          - scope: "session_only"
    fallback: memory

  plan:
    description: "Task decomposition and strategy"
    implementations:
      - name: airis-agent
        priority: 1
        conditions:
          - complexity: "high"
          - pdca: true
      - name: sequential-thinking
        priority: 2
        conditions:
          - complexity: "medium"
    fallback: native

  edit:
    description: "File editing and refactoring"
    implementations:
      - name: serena
        priority: 1
        conditions:
          - scope: "multi_file"
          - refactoring: true
      - name: native
        priority: 2
        conditions:
          - scope: "single_file"
    fallback: native

  execute:
    description: "Script and workflow execution"
    implementations:
      - name: bash
        priority: 1
        conditions:
          - type: "shell_command"
      - name: docker
        priority: 2
        conditions:
          - type: "container"
    fallback: bash

  record:
    description: "Memory storage and observations"
    implementations:
      - name: mindbase
        priority: 1
        conditions:
          - persistence: "long_term"
          - semantic: true
      - name: memory
        priority: 2
        conditions:
          - persistence: "session"
    fallback: memory

# Intent patterns for automatic routing
intent_patterns:
  web_search:
    keywords: ["search", "find online", "latest", "current"]
    capability: search
    implementation_hint: tavily

  library_docs:
    keywords: ["docs", "documentation", "how to use", "api"]
    capability: search
    implementation_hint: context7

  security_analysis:
    keywords: ["security", "vulnerability", "owasp", "audit"]
    capability: summarize
    implementation_hint: sequential-thinking

  code_explanation:
    keywords: ["explain", "what does", "how does"]
    capability: summarize

  store_knowledge:
    keywords: ["remember", "save", "store", "note"]
    capability: record
    implementation_hint: mindbase

  task_planning:
    keywords: ["plan", "break down", "steps", "how to implement"]
    capability: plan
    implementation_hint: airis-agent