Agent skill

request-analyzer

Analyze incoming user requests to detect intent, request type (design/validate/debug/document), complexity level, and identify vague requirements or buzzwords that need clarification. Use when cto-orchestrator receives new requests that need classification before routing to specialist agents.

Stars 70
Forks 9

Install this agent skill to your Project

npx add-skill https://github.com/alirezarezvani/claude-cto-team/tree/main/skills/request-analyzer

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

Expand your agent's capabilities with these related and highly-rated skills.

alirezarezvani/claude-cto-team

architecture-pattern-selector

Recommend architecture patterns (monolith, microservices, serverless, modular monolith) based on scale, team size, and constraints. Use when cto-architect needs to select the right architectural approach for a new system or migration.

70 9
Explore
alirezarezvani/claude-cto-team

clarification-protocol

Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements.

70 9
Explore
alirezarezvani/claude-cto-team

delegation-prompt-crafter

Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.

70 9
Explore
alirezarezvani/claude-cto-team

antipattern-detector

Detect common technical and organizational anti-patterns in proposals, architectures, and plans. Use when strategic-cto-mentor needs to identify red flags before they become problems.

70 9
Explore
alirezarezvani/claude-cto-team

tech-stack-recommender

Recommend technology stacks based on project requirements, team expertise, and constraints. Use when selecting frameworks, languages, databases, and infrastructure for new projects.

70 9
Explore
alirezarezvani/claude-cto-team

validation-report-generator

Generate structured 8-section validation reports with verdict (GOOD/BAD/NEEDS MAJOR WORK), strengths, critical flaws, blindspots, and concrete path forward. Use after strategic-cto-mentor has completed validation analysis and needs to produce final deliverable.

70 9
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results