Speckit Clarify

# Speckit Clarify Skill

## User Input

```text
$ARGUMENTS
```

You **MUST** consider the user input before proceeding (if not empty).

## Outline

Goal: Detect and reduce ambiguity or missing decision points in the active feature specification and record the clarifications directly in the spec file.

Note: This clarification workflow is expected to run (and be completed) BEFORE invoking `/speckit.plan`. If the user explicitly states they are skipping clarification (e.g., exploratory spike), you may proceed, but must warn that downstream rework risk increases.

Execution steps:

1. Run `.specify/scripts/powershell/check-prerequisites.ps1 -Json -PathsOnly` from repo root **once** (combined `--json --paths-only` mode / `-Json -PathsOnly`). Parse minimal JSON payload fields:
   - `FEATURE_DIR`
   - `FEATURE_SPEC`
   - (Optionally capture `IMPL_PLAN`, `TASKS` for future chained flows.)
   - If JSON parsing fails, abort and instruct user to re-run `/speckit.specify` or verify feature branch environment.
   - For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").

2. Load the current spec file. Perform a structured ambiguity & coverage scan using this taxonomy. For each category, mark status: Clear / Partial / Missing. Produce an internal coverage map used for prioritization (do not output raw map unless no questions will be asked).

   Functional Scope & Behavior:
   - Core user goals & success criteria
   - Explicit out-of-scope declarations
   - User roles / personas differentiation

   Domain & Data Model:
   - Entities, attributes, relationships
   - Identity & uniqueness rules
   - Lifecycle/state transitions
   - Data volume / scale assumptions

   Interaction & UX Flow:
   - Critical user journeys / sequences
   - Error/empty/loading states
   - Accessibility or localization notes

   Non-Functional Quality Attributes:
   - Performance (latency, throughput targets)
   - Scalability (horizontal/vertical, limits)
   - Reliability & availability (uptime, recovery expectations)
   - Observability (logging, metrics, tracing signals)
   - Security & privacy (authN/Z, data protection, threat assumptions)
   - Compliance / regulatory constraints (if any)