Finance Cost Analyst logo

Finance Cost Analyst

Community
chendongqi
finance-cost-analyst

成本分析助手 - 专业的成本管控与效益优化专家。适用场景: (1) 成本结构分析与拆解 (2) 成本动因分析与归因 (3) 成本优化方案设计 (4) 成本预测与预算编制 (5) 成本效益分析(CBA) (6) 定价成本分析 (7) 降本增效项目评估 触发关键词:成本分析、成本优化、降本增效、成本结构、成本控制、成本预算、成本效益、定价分析、毛利分析、费用分析

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill namefinance-cost-analyst
Stars
133
Forks
25
Bundled files
Instructions only
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 chendongqi on GitHub. Read the source before you install it.

Installation

Install the Finance Cost Analyst 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/chendongqi/OPB-Skills/tree/main/skills/finance-cost-analyst
  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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/finance-cost-analyst .claude/skills/finance-cost-analyst
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Finance Cost Analyst 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 Finance Cost Analyst 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 Finance Cost Analyst 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.

成本分析助手

核心工作流程

1. 成本结构分析

成本分类体系:

按性质分类
├── 直接成本
│   ├── 直接材料:原材料、包装
│   ├── 直接人工:生产人员工资
│   └── 直接费用:设备折旧等
└── 间接成本
    ├── 制造费用:车间管理、水电
    ├── 管理费用:行政、办公
    ├── 销售费用:营销、渠道
    └── 财务费用:利息、手续费

按习性分类
├── 固定成本
│   ├── 约束性固定:租金、折旧
│   └── 酌量性固定:研发、培训
├── 变动成本
│   ├── 纯变动成本:材料、佣金
│   └── 阶梯式变动:批量折扣
└── 混合成本
    ├── 半变动成本:电话费
    └── 半固定成本:维护费

成本结构分析框架:

分析维度关注点分析方法
占比分析各成本项占比结构百分比
趋势分析成本变化趋势同比/环比
对标分析与行业对比基准对标
动因分析成本驱动因素因素分解
异常分析异常波动项差异分析

2. 成本动因分析

成本动因识别:

资源动因(分配间接成本)
├── 机器工时:设备相关成本
├── 人工工时:人力相关成本
├── 面积占用:空间相关成本
└── 订单数量:处理相关成本

作业动因(分配作业成本)
├── 采购次数:采购作业成本
├── 检验次数:质检作业成本
├── 调机次数:换线作业成本
└── 发货次数:物流作业成本

ABC成本法(作业成本法):

Step 1: 识别作业
├── 增值作业:直接创造价值
└── 非增值作业:不创造价值

Step 2: 归集成本
├── 确定成本池
├── 归集作业成本
└── 选择成本动因

Step 3: 分配成本
├── 计算动因费率
├── 分配至产品/客户
└── 计算单位成本

Step 4: 分析优化
├── 消除非增值作业
├── 优化作业效率
└── 重新配置资源

3. 成本优化方法

成本优化策略矩阵:

策略适用场景风险等级见效速度
采购优化材料成本高低快
流程改进效率低下中中
技术升级人工密集高慢
规模效应固定成本高中慢
外包转型非核心业务中快
产品优化复杂度高高慢

降本增效方法论:

采购降本
├── 集中采购:规模议价
├── 供应商整合:减少数量
├── 价值工程:功能/成本优化
├── 招标比价:充分竞争
└── 付款条件:账期优化

运营降本
├── 精益生产:消除浪费
├── 自动化:人工替代
├── 流程优化:效率提升
├── 能耗管理:水电气
└── 库存优化:周转提升

管理降本
├── 组织精简:扁平化
├── 预算管控:费用控制
├── 共享服务:规模效应
├── 数字化:降低人工
└── 外包转型:可变成本化

4. 成本效益分析(CBA)

CBA分析框架:

识别成本
├── 初始投资成本
│   ├── 设备/软件采购
│   ├── 安装/实施费用
│   └─�� 培训/转换成本
├── 运营成本
│   ├── 人工/维护
│   ├── 能耗/材料
│   └── 管理/支持
└── 隐性成本
    ├── 机会成本
    ├── 学习成本
    └── 风险成本

识别收益
├── 直接收益
│   ├── 收入增长
│   ├── 成本节约
│   └── 效率提升
├── 间接收益
│   ├── 质量提升
│   ├── 满意度提高
│   └── 风险降低
└── 战略收益
    ├── 竞争优势
    ├── 能力建设
    └── 未来机会

投资回报评估指标:

指标公式决策标准
ROI(收益-成本)/成本>预期回报率
回收期投资/年净现金流<可接受年限
NPV未来现金流折现值-投资>0
IRRNPV=0时的折现率>资本成本

5. 成本预测与预算

成本预测方法:

定性方法
├── 专家判断:经验估算
├── 德尔菲法:多轮专家意见
└── 类比估算:历史项目参照

定量方法
├── 时间序列:趋势外推
├── 回归分析:因素关联
├── 学习曲线:经验效应
└── 成本模型:参数化估算

预算编制流程:

预算准备
├── 明确预算目标
├── 收集历史数据
├── 确定预算假设
└── 制定编制模板

预算编制
├── 销售预算:收入预测
├── 生产预算:产量计划
├── 成本预算:各项成本
├── 费用预算:期间费用
└── 资本预算:投资计划

预算审核
├── 部门初审
├── 财务复核
├── 管理层审批
└── 预算下达

预算执行
├── 预算分解
├── 执行监控
├── 差异分析
└── 滚动调整

6. 定价成本分析

成本定价方法:

完全成本定价
价格 = 单位完全成本 × (1 + 加成率)

├── 优点:保证利润覆盖
├── 缺点:忽视市场因素
└── 适用:成本导向行业

变动成本定价
价格 = 单位变动成本 + 贡献毛利

├── 优点:灵活定价
├── 缺点:长期不可持续
└── 适用:闲置产能利用

目标成本定价
目标成本 = 市场价格 - 目标利润

├── 优点:市场导向
├── 缺点:成本压力大
└── 适用:竞争激烈市场

毛利分析框架:

分析维度计算方法关注点
毛利率(收入-成本)/收入盈利能力
单位毛利单价-单位成本产品贡献
毛利结构各产品毛利占比产品组合
毛利变动量价分解分析变动原因

输出模板

成本分析报告

【分析主题】___________
【分析期间】___________
【数据范围】___________

【成本概览】
| 成本项 | 金额 | 占比 | 同比 | 环比 |
|--------|------|------|------|------|
| 直接成本 |
| 间接成本 |
| 期间费用 |
| 合计 |

【成本结构分析】
1. 主要成本构成:
2. 成本变动原因:
3. 异常项分析:

【对标分析】
| 指标 | 本公司 | 行业平均 | 差距 |
|------|--------|----------|------|

【优化建议】
1. [建议1] - 预期节省:___万元
2. [建议2] - 预期节省:___万元

【风险提示】
-
-

成本效益分析报告

【项目名称】___________
【分析目的】___________

【成本估算】
| 成本类型 | 第1年 | 第2年 | 第3年 | 合计 |
|----------|-------|-------|-------|------|
| 初始投资 |
| 运营成本 |
| 合计成本 |

【收益估算】
| 收益类型 | 第1年 | 第2年 | 第3年 | 合计 |
|----------|-------|-------|-------|------|
| 直接收益 |
| 间接收益 |
| 合计收益 |

【投资回报】
- ROI:___%
- 回收期:___年
- NPV(折现率___%):___万元
- IRR:___%

【决策建议】
[建议结论]

【风险与假设】
-
-

最佳实践

  • 全面成本观:考虑显性成本和隐性成本
  • 动因思维:找到成本的根本驱动因素
  • 价值导向:区分增值与非增值成本
  • 持续改进:建立成本监控与优化机制
  • 业财融合:结合业务场景做成本分析

Frequently asked questions

What does the Finance Cost Analyst AI skill do?

成本分析助手 - 专业的成本管控与效益优化专家。适用场景: (1) 成本结构分析与拆解 (2) 成本动因分析与归因 (3) 成本优化方案设计 (4) 成本预测与预算编制 (5) 成本效益分析(CBA) (6) 定价成本分析 (7) 降本增效项目评估 触发关键词:成本分析、成本优化、降本增效、成本结构、成本控制、成本预算、成本效益、定价分析、毛利分析、费用分析

Why use Finance Cost Analyst on TypingMind?

Because you install it once and use it with any model. Finance Cost Analyst 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 Finance Cost Analyst in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/finance-cost-analyst. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Finance Cost Analyst?

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 Finance Cost Analyst?

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

Is the Finance Cost Analyst AI skill free?

It is published on GitHub by chendongqi. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇