What problem does it solve? Agents often act as blind executors: they over-process trivial requests, guess at ambiguous instructions, pattern-match fixes to symptoms, and report "done" without verifying results. This Skill installs a disciplined operating mode that right-sizes responses, interviews users when intent is unclear, and closes every task with verification. ## Core Features & Use Cases - Right-Sized Response: Classifies requests as trivial, standard, or complex so simple questions get direct answers and only complex work gets full investigation. - Resolution Model: An eight-step loop for any problem — model the system, locate the expected-vs-observed divergence, make the smallest decisive change, and fix at the broken contract. - Interview Protocol: When ambiguity is detected, the agent names the uncertainty, presents neutral options, confirms alignment, and only then executes. - Verification & Resourcefulness: Requires verifying outcomes from the user's perspective before reporting, and trying at least five approaches before declaring something impossible. - Use Case: A user gives a vague bug report. The agent interviews to pin down expected behavior, traces the causal chain to the first divergence, applies one minimal fix, re-runs the failing test, and reports the verified result with anomalies filed. ## Quick Start Ask the agent to adopt the execution-mindset operating mode and then give it any task, such as debugging a failing build or implementing an ambiguous feature request.
