它不是一个普通链接，而是一个可拆解的工作样本
适合解决“只有零散提示词、没有稳定流程”的问题。
本地完整包已通过基础压缩包检查；有说明文件（README），便于学员理解。
返回：能力体系、Skill 库与通用 AI 工作系统
Skill
BIGHR-AI-0059
siddharthjaiswal1993-spec/revenue-readiness-os
这是一个可拆解的能力包（Skill）/工具包，价值在结构、模板和任务边界。
它具体能做什么
- 面向销售/业务团队的 readiness 系统，关注新人成长期、教练一致性和内容与结果脱节
- 把 onboarding、技能反馈、经理辅导和内容使用情况串成一个持续改进系统
- 虽然不是传统 HR，但可以带到人才培养、能力认证和一线经理辅导场景
- 适合学员学习“岗位能力提升系统”而非一次性培训资料
可以重点拆解哪一层结构
基本原理是：把一个重复任务拆成文件、说明、模板和执行步骤，让学员能复用或改造成自己的 Skill。
- Ramp time is too long. New reps take 6–12 months to reach full productivity. Onboarding is still largely content dumps and scheduled sessions with no continuous skill feedback.
- Coaching is inconsistent. Most frontline managers coach based on intuition and recency bias, not systematic skill data. High-performing reps get attention; struggling reps get overlooked until a deal is lost.
- Content is disconnected from outcomes. Libraries of sales decks, battlecards, and playbooks exist, but no one knows which content actually moves deals. Reps ignore most of it.
- Skill gaps are invisible until it's too late. There is no continuous signal between a rep's skill level and their pipeline risk — only lagging indicators like missed quota.
- Enablement ROI is impossible to prove. Training completion rates are tracked. Revenue impact is not.
建议谁用，谁先不要用
适合
适合想学习如何把 HR/职业/组织任务整理成标准步骤、模板和检查清单的学员、顾问、产品经理和内容负责人。
不适合
不适合希望不读说明文件（README）、不做环境适配、马上用于真实业务的用户。
建议按这个顺序学习
- 先看说明文件（README），确认这个 Skill 解决的任务范围
- 打开能力包说明文件（SKILL.md）或 skills 目录，查看触发场景、输入材料和输出格式
- 用模拟岗位、模拟简历、模拟访谈材料做一次练习
- 把适合课程的步骤改写成中文导读，不把原包直接改成自己的作品
依赖提示：可能需要按说明文件（README）安装依赖、配置 API key 或在测试平台导入。
从哪些文件开始看
关键文件
- README.md
- assignment/README.md
- prototype/README.md
- prototype/package-lock.json
- prototype/package.json
- prototype/tsconfig.json
工作流文件
- prototype/package-lock.json
- prototype/package.json
- prototype/tsconfig.json
- prototype/tsconfig.node.json
说明文件信号（README）
- Ramp time is too long. New reps take 6–12 months to reach full productivity. Onboarding is still largely content dumps and scheduled sessions with no continuous skill feedback.
- Coaching is inconsistent. Most frontline managers coach based on intuition and recency bias, not systematic skill data. High-performing reps get attention; struggling reps get overlooked until a deal is lost.
- Content is disconnected from outcomes. Libraries of sales decks, battlecards, and playbooks exist, but no one knows which content actually moves deals. Reps ignore most of it.
- Skill gaps are invisible until it's too late. There is no continuous signal between a rep's skill level and their pipeline risk — only lagging indicators like missed quota.
- Enablement ROI is impossible to prove. Training completion rates are tracked. Revenue impact is not.
- Roleplay Simulation: LLM plays the role of a buyer persona; scores seller responses on discovery, objection handling, value articulation, and close
下载前需要先知道什么
保持原作者、来源和许可协议信息；使用模拟数据完成学习练习。
GitHub 下载链接：https://github.com/siddharthjaiswal1993-spec/revenue-readiness-os/archive/refs/heads/main.zip
GitHub 项目页：https://github.com/siddharthjaiswal1993-spec/revenue-readiness-os