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akka-clarifylisted

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
akka/ai-marketplace · ★ 6 · Code & Development · score 69
Install: claude install-skill akka/ai-marketplace
## User Input 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 `/akka: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. Call the `akka_sdd_list_specs` MCP tool to find features. From the response, identify the target feature's directory (FEATURE_DIR) and spec file path (FEATURE_SPEC). If no features exist, instruct the user to run `/akka:specify` first. - `FEATURE_DIR` - `FEATURE_SPEC` - (Optionally capture `IMPL_PLAN`, `TASKS` for future chained flows.) - If JSON parsing fails, abort and instruct user to re-run `/akka:specify` or verify feature branch environment. 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