Repeatability
High
The task is structurally identical across all 22,000 records: parse a known format, normalize skills, merge on email key, deduplicate. No per-record judgment is needed beyond the rules defined upfront.
Ambiguity Tolerance
High
Success criteria are concrete and verifiable: one record per email, skills as a clean JSON array, flagged duplicates. The user even specifies they'll handle flagged cases manually, which removes the hardest edge cases from the agent's scope.
Data & Tool Availability
High
The agent needs only the three JSON export files and a scripting environment (Python or similar). No external APIs, live systems, or special permissions are required — everything is self-contained in the provided files.
Error Cost
Low
The output is a transformed data file, not a live system action. Errors are detectable by inspection or spot-checking, and the original source files remain untouched. The user's manual review step for flagged profiles adds a further safety net.
Human Judgment Required
Low
The only judgment call is skill normalization (e.g., case sensitivity, whitespace trimming), which can be handled by a deterministic rule. The user explicitly reserves manual review for ambiguous duplicates, so the agent doesn't need to resolve those.