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Takes surface scan results, optional LLM synthesis open-question entries, and optional tree-sitter AST signals to score project ambiguities (1-10). Outputs structured ambiguity_feed for smart-question-generator. Pure heuristic — no LLM calls. Designed for Stage 3.5 of the /gaai:bootstrap pipeline (between LLM synthesis and Q&A).
Activate:
/gaai:bootstrap pipeline — after bootstrap-llm-synthesis returns results and before smart-question-generator is calledsynthesis_result.entries[] to clarity: "open-question" and passes them as synthesis_entriessynthesis_entries is empty and ast_signals is null, the skill runs heuristic-only analysis on surface_scan_result and may still produce entries from language distributionThis skill is pure heuristic — it makes no LLM calls. It scores ambiguities deterministically from structural signals. All scoring logic executes client-side before the Q&A stage (DEC-13 client-side principle, DEC-48 instructions-client).
surface_scan_result: # required — output of project-surface-scan
total_file_count: number
languages: Array<{
language: string
file_count: number
rank: number
}>
ext_counts: { [ext: string]: number } # e.g. { ".ts": 142, ".vue": 3 }
dir_counts: { [dir: string]: number } # depth-1 directory file counts
npx skills add Fr-e-d/GAAI-framework --skill ambiguity-detectorHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Clear and well structured, with only minor parts that might need a second read.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Mostly actionable with clear steps; only a few small gaps remain.