vc-intent-clarify

Scores request ambiguity and generates structured multi-choice clarification questions before routing.

2|Updated Sep 15, 2025
One-click install
npx skills add https://github.com/marsley01/Marsley-Portfolio-Web --skill vc-intent-clarify-marsley01
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vc-intent-clarify
Source: https://github.com/marsley01/Marsley-Portfolio-Web/tree/main/.agents/skills/vc-intent-clarify
Command: npx skills add https://github.com/marsley01/Marsley-Portfolio-Web --skill vc-intent-clarify-marsley01

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve? Vague user requests cause AI agents to route work to the wrong phase or agent, wasting entire execution cycles. This Skill scores request ambiguity across four signals and produces structured, option-rich clarification questions so intent is locked before any RIPER-5 phase delegation begins. ## Core Features & Use Cases - 4-Signal Ambiguity Scoring: Evaluates scope ambiguity, missing paths, multiple intents, and session context to assign a Tier 0/1/2 routing action. - Two Operating Modes: SIMPLE mode runs a light 3-5 file research pass in the main thread; DEEP mode spawns a research subagent that returns concrete file paths and decision dimensions before questions are generated. - Structured Question Suites: Generates CRITICAL/USEFUL classified questions across 8 standard dimensions (scope, success criteria, risk, autonomy, and more) rendered via the AskUserQuestion tool with recommended defaults. - Use Case: A user says "make the app faster" — the Skill scores it 4/4, triggers Tier 2, and produces multi-choice questions on scope, success criteria, and constraints with concrete package paths instead of generic placeholders. ## Quick Start Ask the orchestrator to clarify intent for a new request like "refactor the billing flow" before routing it to any execution phase.

Frequently Asked Questions about vc-intent-clarify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I clarify ambiguous user requests before routing to an AI agent?

Score the request across four signals: ambiguous scope, missing explicit path, multiple possible intents, and first interaction. Scores of 0-1 auto-route silently, score 2 shows a routing summary, and scores of 3 or higher trigger a full structured clarification suite with multi-choice questions.

What is the difference between SIMPLE and DEEP clarification modes?

SIMPLE mode runs in the main thread with a 3-5 file light research pass to fill question options. DEEP mode spawns a research subagent first that returns discovered file paths, decision dimensions, and risk surfaces, producing questions grounded in actual codebase findings.

When should intent clarification be skipped entirely?

Auto-skip conditions force Tier 0 routing: continuation phrases like "go" or "proceed", mid-phase-program execution, trivial single-file fixes under 15 lines, explicit mode commands, resuming an active plan, or pure information questions with one obvious routing target.

How does the ambiguity scoring formula work?

Each of four signals adds one point: ambiguous scope, no explicit path, multiple intents, and first interaction. The sum determines the tier: 0-1 is Tier 0 silent auto-route, 2 is Tier 1 routing summary with confirmation, and 3-4 is Tier 2 full structured clarification.

What happens if the user answers but intent is still unclear?

State what remains unclear in one sentence, then ask one final direct plain question. If still unresolvable, default to the research agent with the narrowest reasonable scope. Clarification never loops more than twice before routing.

Does the clarification output require validation?

Yes. The included validation script fails output missing a restatement line, an ambiguity score from 0-7, or an unambiguous mode choice of exactly simple or deep followed by a reason or because justification.