What problem does it solve? Drafting data processing agreements (DPA) under China's Personal Information Protection Law requires correctly classifying the processing relationship, applying the right legal rules, and allocating responsibilities between parties. This Skill guides the AI through a structured legal workflow to produce signable, responsibility-clear DPA documents instead of mechanically copying templates. ## Core Features & Use Cases - Relationship Classification: Distinguishes entrusted processing, external provision, and joint processing through targeted questions before drafting, preventing role mischaracterization. - Rule Trigger Analysis: Identifies triggered obligations such as PIA assessments, separate consent, sensitive personal information rules, and cross-border transfer requirements, then maps each to concrete contract clauses. - Guided Drafting with References: Uses type-specific drafting guides, statutory definition libraries, and review checklists to produce complete agreements with annexes, then formats output as Word documents via a python-docx script. - Use Case: A company outsourcing customer service to a vendor asks for a DPA; the Skill asks one round of clarifying questions, analyzes applicable PIPL rules, and outputs a balanced entrusted-processing agreement as a formatted .docx file. ## Quick Start Ask the AI to draft a data processing agreement for your scenario, describing both parties' roles, the data involved, and whether sensitive information or cross-border transfer is present.
