Civil Appeal Petition AI Structured Writing Plus

Problem Addressed

Drafting a civil appeal petition requires aligning the first-instance judgment, case materials, appeal requests, and statutory citations. Manual drafting can miss the boundary between full and partial appeals, key factual or legal errors, and risks around late-filed evidence. This skill turns the drafting process into a confirmed, step-by-step workflow for a structured first draft.

How It Works

• Inputs: upload the first-instance judgment or ruling, select the appellant's original-party status, confirm the respondent identity, and choose whether the appeal challenges all or part of the decision.
• Legal citations: use 华宇元典法律数据MCP to retrieve statute text; citations are limited to legal provisions and do not include similar cases.
• Structured output: generate party information, cause of action, appeal requests, and facts/reasons, focusing on fact-finding, legal application, burden of proof, evidence evaluation, and procedure.
• Delivery: render in Markdown, allow iterative edits, and export to docx via scripts/md2docx.py with a requirement that the docx matches the final Markdown.

Boundaries

• The output is an AI-assisted draft, not formal legal advice; counsel and the party must review before filing.
• If the required MCP is not connected, the skill asks the user to connect it before statutory citations continue.
• Late-filed new evidence needs a legitimate reason, and appeal deadlines and appeal-fee payment must be checked separately.