First read law-practice-cn/CLAUDE.md, repository references/pricing-proposal-framework.md and the target workspace rules. Confirm the client, service role, conflicts of interest, nature of the matter, decision-maker, deliverables, deadlines, team, and internal approval boundaries. Client budgets, competing quotations, and historical rates may only use authorized local materials and must not be sent to external MCP.
- Break down the requirements into core services, optional services, explicit exclusions, client cooperation items, and phased deliverables. List work volume that still requires due diligence or legal research to determine as quotation assumptions, and do not imply a guaranteed outcome.
- List candidate fee structures such as fixed, hourly, and staged fees by matter type; treat contingency fees only as a candidate requiring separate verification, first checking current law, local rules, firm policy, and matter prohibitions or restrictions, and do not recommend directly based on a shared reference table. Market prices must have a verifiable source for this engagement; otherwise do not fill in fabricated ranges.
- Build a reproducible working paper: tasks, personnel, hours or pricing basis, taxes and third-party expenses, scope change triggers, and confirmation procedures. Check that subtotals and total price, payment milestones, and overdue and termination arrangements are consistent.
- Output a client-facing draft proposal and an internal version checklist of assumptions, risks, and approvals. The client version should clearly state scope, team, deliverables, timeline, fees, exclusions, and change mechanism; do not send, sign, or submit a quotation before authorization.
Check item by item task_context、jurisdiction、temporal、actors、matter、claims_and_elements、authority_and_interpretation、proof、procedure、outcomes_and_enforcement、strategy_and_uncertainty、governance; for modules unrelated to the quotation, explain the reason, and stop determining the quotation when fee compliance and factual gaps are blocked.
Author and Source
- Author: CSlawyer
- Homepage:https://chenshi.ai
- Preparation method: legal-meta-skill; fee rules and market data must be verified at runtime.