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ToB销售提案生成器

v1.0.0

ToB销售提案生成器 - 基于行业最佳实践,自动生成专业销售提案文档

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for william202404/tob-sales-proposal.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "ToB销售提案生成器" (william202404/tob-sales-proposal) from ClawHub.
Skill page: https://clawhub.ai/william202404/tob-sales-proposal
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required binaries: node
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install tob-sales-proposal

ClawHub CLI

Package manager switcher

npx clawhub@latest install tob-sales-proposal
Security Scan
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Suspicious
medium confidence
Purpose & Capability
Name/description align with the code: there is a Node-based proposal generator that loads a local case/methodology DB and renders a template. However the SKILL.md/README list Python >=3.8 and RFP file parsing as capabilities — the code and package.json do not use Python, and there is no RFP parser implemented. This mismatch is unexplained and could lead to user confusion.
!
Instruction Scope
Runtime instructions tell users they can feed an RFP PDF and that '高级分析' uses Python, but the CLI forwards an --rfp option into config and the generator does not read or parse any RFP file or invoke Python. Also the generator expects a templates/proposal.md.hbs file but the package manifest does not include a templates directory or template file — so the tool will likely fail at render time.
Install Mechanism
No remote download/install hooks are present in the manifest; installation is via normal npm install/npm link. package.json and package-lock.json list standard npm dependencies. There are no installer URLs, shorteners, or extract-from-URL steps that would raise high-risk flags.
Credentials
The skill declares only 'node' as a required binary in metadata and requests no environment variables, credentials, or config paths. The code does not access external secrets or environment variables beyond reading local files, which is proportionate to its purpose.
Persistence & Privilege
Skill is not always-enabled, is user-invocable, and does not request elevated persistence or modify other skills or system-wide settings. No autonomous always:true privilege issues are present.
What to consider before installing
This package appears to implement a Node CLI that generates proposal text from local data, but there are important inconsistencies you should resolve before trusting it: 1) The generator attempts to read a Handlebars template at templates/proposal.md.hbs, but no templates folder or template file is included — expect runtime failure unless you supply templates. 2) SKILL.md claims Python>=3.8 and RFP PDF-to-proposal conversion, but the code does not call Python or parse RFPs; don't expect those features to work. 3) It's safe from obvious exfiltration (no network calls or credential access), but because behavior is incomplete/mismatched, run it in a sandbox first. Recommended actions: inspect the repository for the missing templates or ask the author for the template and RFP parser, run npm install and a local test with simple inputs, and verify output before using real client data. If the author provides updated code/templates that remove the mismatches (template included and/or a documented RFP parser), confidence would increase.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

📄 Clawdis
Binsnode
b2bvk979bhm14g5n3gmyqq4w63ffrh836c04latestvk979bhm14g5n3gmyqq4w63ffrh836c04proposalvk979bhm14g5n3gmyqq4w63ffrh836c04salesvk979bhm14g5n3gmyqq4w63ffrh836c04tobvk979bhm14g5n3gmyqq4w63ffrh836c04
171downloads
0stars
1versions
Updated 23h ago
v1.0.0
MIT-0

ToB 销售提案生成器

基于 ToB 软件行业最佳实践,自动生成专业销售提案文档。

核心能力

  • 🎯 客户痛点分析 - 基于行业特征自动识别关键痛点
  • 📊 解决方案匹配 - 产品功能与客户需求精准映射
  • 💰 ROI 量化分析 - 投资回报率和 TCO 计算
  • 🏆 案例匹配推荐 - 从实战案例库匹配最佳参考
  • 📈 实施路线图 - 分阶段交付计划

使用方法

交互模式(推荐)

tob-sales-proposal

按提示输入:

  1. 客户名称
  2. 所属行业
  3. 核心痛点
  4. 预算范围
  5. 决策周期

命令行模式

# 基础用法
tob-sales-proposal --client "某银行" --industry "金融" --product "智能知识库"

# 完整参数
tob-sales-proposal \
  --client "某金融集团" \
  --industry "金融" \
  --painpoints "数据孤岛,知识管理混乱" \
  --product "智能知识库" \
  --budget "100-200万" \
  --timeline "3个月" \
  --output ./proposal.md

# 从 RFP 文件生成
tob-sales-proposal --rfp ./client_rfp.pdf --output ./proposal.md

提案结构

基于实战验证的 8 大模块:

  1. 客户洞察 - 行业趋势 + 痛点分析(五看三定框架)
  2. 解决方案 - 整体架构 + 核心功能
  3. 产品匹配 - 功能清单 + 差异化优势
  4. 实施计划 - 分阶段交付 + 里程碑
  5. 投资回报 - ROI 计算 + TCO 分析
  6. 成功案例 - 匹配案例 + 客户证言
  7. 公司资质 - 团队介绍 + 服务能力
  8. 商务方案 - 报价明细 + 付款条款

内置方法论

方法论应用场景
五看三定市场分析和战略规划
望闻问切企业现状诊断
黄金圈法则方案价值阐述
PREP 表达结构化汇报

案例库

内置 7 个行业案例模板:

  • 某大型金融集团 - 数字化转型规划
  • 某知名服装品牌 - 供应链系统建设
  • 某装备制造集团 - 采购与供应链规划
  • 某大型物流企业 - 物流信息化平台建设
  • 某央企集团 - 供应链中台建设
  • 某县域政府 - 智慧城市数字化建设
  • 某金融机构 - AI知识库建设

安装

# 通过 ClawHub 安装
clawhub install tob-sales-proposal

# 或手动安装
git clone https://github.com/lining/tob-skills.git
cd tob-skills/tob-sales-proposal
npm install
npm link

依赖

  • Node.js >= 18
  • Python >= 3.8(用于高级分析)

作者

ToB 软件行业从业者社区贡献

License

MIT

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