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    alirezarezvani

    request-analyzer

    alirezarezvani/request-analyzer
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    About

    SKILL.md

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    About

    Analyze incoming user requests to detect intent, request type (design/validate/debug/document), complexity level, and identify vague requirements or buzzwords that need clarification...

    SKILL.md

    Request Analyzer

    Classifies incoming requests to enable intelligent routing and identify clarification needs before delegating to specialist agents.

    When to Use

    • When receiving a new user request that needs classification
    • When determining which specialist agent should handle a request
    • When identifying if requirements are too vague to proceed
    • When detecting buzzwords that need to be challenged

    Analysis Framework

    Step 1: Detect Intent

    Classify the primary intent:

    Intent Indicators Route
    Strategic "roadmap", "strategy", "plan", "prioritize", "decide" May need validation
    Implementation "build", "create", "implement", "design", "architect" Design work
    Debugging "fix", "broken", "error", "slow", "not working" Debug/investigate
    Documentation "document", "explain", "describe", "write docs" Documentation

    Step 2: Classify Request Type

    Type Key Phrases Primary Agent
    Design "How should I build...", "What architecture...", "Design a system..." cto-architect
    Validate "Is this plan solid?", "Thoughts on...", "Review my roadmap..." strategic-cto-mentor
    Debug "Why is X slow?", "Fix this error...", "Troubleshoot..." debug-helper
    Document "Write documentation for...", "Explain how..." docs-writer
    Review "Review this code...", "Check for issues..." code-reviewer

    Step 3: Assess Complexity

    Complexity Characteristics Execution Pattern
    Single Clear scope, one domain, obvious routing Direct to one agent
    Sequential Multiple phases, depends on previous output Agent chain
    Parallel Independent domains, can run simultaneously Multiple agents in parallel

    Step 4: Identify Vague Terms

    Scan for buzzwords that require clarification. See buzzword-dictionary.md for the complete list.

    Common red flags:

    • "AI-powered" - What specific AI capability?
    • "scale" - What numbers? From what to what?
    • "fast" / "soon" - What timeline exactly?
    • "simple" - Simple for whom? What constraints?
    • "modern" - What specific technologies?

    Step 5: Detect Missing Context

    Check for required context based on request type:

    For Design Requests:

    • Expected user/traffic scale
    • Budget constraints
    • Timeline requirements
    • Team size and expertise
    • Existing infrastructure

    For Validation Requests:

    • Current state or existing plan
    • Business goals and constraints
    • Timeline and resources
    • Success criteria

    Output Format

    Provide analysis in this structure:

    ## Request Analysis
    
    **Intent**: [strategic | implementation | debugging | documentation]
    **Type**: [design | validate | debug | document | review]
    **Complexity**: [single | sequential | parallel]
    
    ### Vague Terms Detected
    - "[term]" - needs clarification: [what to ask]
    
    ### Missing Context
    - [missing information item]
    
    ### Suggested Routing
    **Primary Agent**: [agent name]
    **Rationale**: [why this agent]
    
    ### Clarification Needed
    [yes/no] - [brief explanation]
    
    ### Recommended Next Step
    [what to do next - clarify or delegate]
    

    Examples

    Example 1: Vague Request

    User: "I want to add AI capabilities to my app"

    Analysis:

    • Intent: Implementation
    • Type: Design
    • Complexity: Unknown (needs clarification)
    • Vague Terms: "AI capabilities" - What specific problem are we solving?
    • Missing Context: Scale, budget, timeline, team, existing stack
    • Clarification Needed: Yes
    • Next Step: Use clarification-protocol before routing

    Example 2: Clear Design Request

    User: "Design a real-time notification system for 100K users, using our existing PostgreSQL database and Node.js backend"

    Analysis:

    • Intent: Implementation
    • Type: Design
    • Complexity: Single
    • Vague Terms: None
    • Missing Context: Timeline, budget (nice to have but not blocking)
    • Suggested Routing: cto-architect
    • Clarification Needed: No (can proceed with optional clarification)

    Example 3: Validation Request

    User: "Here's my Q2 roadmap - migrate to microservices, add real-time features, and launch mobile app. Thoughts?"

    Analysis:

    • Intent: Strategic
    • Type: Validate
    • Complexity: Single
    • Vague Terms: None
    • Missing Context: Team size, current architecture state
    • Suggested Routing: strategic-cto-mentor
    • Clarification Needed: Mild (some context helpful but not blocking)

    References

    • Classification Criteria - Detailed routing logic
    • Buzzword Dictionary - Common vague terms to challenge
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    Repository
    alirezarezvani/claude-cto-team
    Files