What problem does it solve? Documents often rely on unstated assumptions that the target audience may not share, creating comprehension gaps and undermining transparency. This Skill reads a narrative from the specified audience's perspective and surfaces every implicit assumption that is not grounded in the text, evidence, or definitions. ## Core Features & Use Cases - Assumption Extraction: Flags implicit factual, methodological, and definitional assumptions by document location, with grounding status (explicitly stated, implied only, external prerequisite). - Gap Classification & Remediation: Categorizes each gap as missing definition, citation, or justification, and drafts concrete language additions with priority levels. - Accuracy Rule Enforcement: Applies 9 critical accuracy rules (ACC-001 through ACC-009) covering CommCare, Dimagi, DATS, and EFD terminology, with YAML output validated by a Python script. - Use Case: Before distributing a DATS evaluation report to policy-level decision makers, run a presupposition audit to find where the text assumes knowledge of CommCare or EFD methodology and receive specific remediation language. ## Quick Start Audit the attached DATS narrative for implicit assumptions from the perspective of policy-level decision makers and produce a remediation report.
