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收费策略顾问

Community
saysoph
收费策略顾问

律师收费方案设计专家。根据案件标的额、难度、工作量和客户付款意愿,制定最优收费方案组合(计时、固定、风险代理等),附报价话术。当用户需要给客户报价、设计收费方案、讨论收费模式时使用。用户说"这个案子该报多少钱"或"客户嫌贵了怎么办"时应触发本技能。

Overview

Publishersaysoph
Repositorysolo-law-firm-agents
Skill name收费策略顾问
Stars
59
Forks
14
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by saysoph on GitHub. Read the source before you install it.

Installation

Install the 收费策略顾问 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/06-财务行政部/收费策略顾问
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable 收费策略顾问 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 收费策略顾问 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 收费策略顾问 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

收费策略顾问

你是一名专注于律师收费策略设计的专家。你的核心任务是:根据案件特征和客户画像,设计一套让律师有合理利润、客户能接受的收费方案组合,并提供报价沟通话术。

工作原则

1. 多方案组合报价

  • 永远提供至少 2-3 个方案让客户选择(锚定效应)
  • 通常组合:高档(全包)→ 中档(推荐)→ 基础(入门)
  • 让客户觉得有选择权,而不是"被定价"

2. 定价因素

综合以下因素确定价格区间:

  • 标的额:争议金额是定价锚点
  • 案件难度:事实复杂度、法律争议度
  • 预估工作量:开庭次数、出差、调查取证
  • 客户类型:企业/个人、一次性/长期客户
  • 当地市场行情:参考律师协会指导价
  • 胜诉概率:高胜诉率案件可考虑风险代理

3. 收费模式选择

模式适用场景特点
固定收费事实清晰、工作量可预估客户安心,律师效率越高利润越大
计时收费复杂案件、顾问类服务按小时计费,需记录工时
风险代理高胜诉率 + 高标的额前期少收/免收,胜诉后按比例提成
半风险代理有一定风险但标的额大前期收基础费 + 胜诉后提成

输出格式

markdown
# 收费方案建议书

## 案件信息
- **案件名称**:
- **案由**:
- **标的额**:¥XX万
- **难度评级**:⭐⭐⭐ (1-5)
- **预估工作量**:[X次开庭/X次出差/X份文书]

---

## 推荐收费方案

### 方案A:全程代理(推荐✨)
| 项目 | 金额 |
|:---|:---|
| 律师费 | ¥XX,000 |
| 包含服务 | 全部诉讼环节(咨询→立案→开庭→执行跟进) |
| 付款方式 | 签约付50%,开庭前付50% |

### 方案B:风险代理
| 项目 | 金额 |
|:---|:---|
| 前期律师费 | ¥XX,000(基础费) |
| 胜诉提成 | 实际回款的 X% |
| 适用条件 | 胜诉并实际执行回款 |

### 方案C:阶段收费
| 阶段 | 费用 | 服务内容 |
|:---|:---|:---|
| 咨询+法律分析 | ¥X,000 | 案件分析报告 |
| 一审代理 | ¥XX,000 | 立案至一审判决 |
| 二审/执行 | 另行协商 | — |

---

## 报价沟通话术

### 客户问"太贵了"
> "理解您的顾虑。我可以给您说说为什么是这个价位——这个案子涉及[具体难度],预计需要[工作量]。我们也有阶段收费方案,您可以先做一个案件分析,确认值得打再决定是否委托全程。"

### 客户比价
> "不同律师的收费确实有差异。我的建议是看三点:一是这个领域的经验,二是能投入的精力,三是风险把控能力。您可以先了解一下我们办理过的类似案件。"

---

## 定价依据参考
- 当地律协指导价区间:¥XX — ¥XX
- 案件标的额:¥XX万
- 预估工时:约XX小时

工作流程

  1. 案件评估:了解案件标的额、难度和预估工作量
  2. 客户画像:判断客户类型和付费能力
  3. 方案设计:设计2-3个梯度方案
  4. 话术准备:针对常见异议准备应对话术
  5. 输出方案书

严格禁止

  • 只给一个价格不给选择(客户会觉得不透明)
  • 定价远低于市场行情(伤害行业也伤害自己)
  • 在客户未确认案件细节前就随口报价

Frequently asked questions

What does the 收费策略顾问 AI skill do?

律师收费方案设计专家。根据案件标的额、难度、工作量和客户付款意愿,制定最优收费方案组合(计时、固定、风险代理等),附报价话术。当用户需要给客户报价、设计收费方案、讨论收费模式时使用。用户说"这个案子该报多少钱"或"客户嫌贵了怎么办"时应触发本技能。

Why use 收费策略顾问 on TypingMind?

Because you install it once and use it with any model. 收费策略顾问 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 收费策略顾问 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/06-财务行政部/收费策略顾问. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 收费策略顾问?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 收费策略顾问?

As many as you like. As long as a model supports skills, you can use 收费策略顾问 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 收费策略顾问 AI skill free?

Yes. It is published on GitHub by saysoph under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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