Agent skill

AI Sales Champion

by staruhub in staruhub/ClaudeSkills

AI咨询/销售的对话策略助手。当用户需要准备AI方案沟通、跟业务部门聊AI落地、写AI提案、应对客户异议、做AI培训破冰时使用。触发场景:"怎么跟老板聊AI"、"客户说AI不靠谱"、"准备一个AI方案汇报"、"帮我想想怎么推AI"、"业务部门不配合"、"AI项目怎么卖"、"demo之后怎么跟进"。也适用于AI咨询师、技术合伙人、CTO做内部AI推广。

MITAuto-check passed

Install AI Sales Champion

skills CLI
$ npx skills add staruhub/ClaudeSkills --skill ai-sales-champion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install staruhub/ClaudeSkills ai-sales-champion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/Geek-skills-ai-sales-champion .claude/skills/ai-sales-champion && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ai-sales-champion
GitHub stars
728
Token cost
~533 tokens
SKILL.md length
95 words
Files
5 (incl. references)
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

AI咨询/销售的对话策略助手。当用户需要准备AI方案沟通、跟业务部门聊AI落地、写AI提案、应对客户异议、做AI培训破冰时使用。触发场景:"怎么跟老板聊AI"、"客户说AI不靠谱"、"准备一个AI方案汇报"、"帮我想想怎么推AI"、"业务部门不配合"、"AI项目怎么卖"、"demo之后怎么跟进"。也适用于AI咨询师、技术合伙人、CTO做内部AI推广。

  • Works in 6 steps: ✅ 所有AI技术概念都有"业务翻译"(如 RAG →… → ✅ 包含至少一个与对方行业/部门直接相关的落地场景 → ✅ 有量化预期(时间节省X%、成本降低Y万、效率提升Z倍),允许用行业… → …
  • SKILL.md covers 核心理念, 验收标准, 不做什么 and 工作模式, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

AI Sales Champion is an agent skill from staruhub/ClaudeSkills. AI咨询/销售的对话策略助手。当用户需要准备AI方案沟通、跟业务部门聊AI落地、写AI提案、应对客户异议、做AI培训破冰时使用。触发场景:"怎么跟老板聊AI"、"客户说AI不靠谱"、"准备一个AI方案汇报"、"帮我想想怎么推AI"、"业务部门不配合"、"AI项目怎么卖"、"demo之后怎么跟进"。也适用于AI咨询师、技术合伙人、CTO做内部AI推广。

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `evals/routing-evals.json`, `references/industry-scenarios.md` and `references/objection-decoder.md`).

The repository describes itself as: 13 curated Agent Skills for research, product decisions, decks, publishing, audits, and more — portable across skills-compatible agents. The licence is MIT.

Example prompts

  • “怎么跟老板聊AI”
  • “客户说AI不靠谱”
  • “准备一个AI方案汇报”
  • “/ai-sales-champion”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. ✅ 所有AI技术概念都有"业务翻译"(如 RAG → "让AI查你们自己的知识库再回答")
  2. ✅ 包含至少一个与对方行业/部门直接相关的落地场景
  3. ✅ 有量化预期(时间节省X%、成本降低Y万、效率提升Z倍),允许用行业 benchmark 估算
  4. ✅ 明确标注了风险和局限("AI能做X,但目前还不能做Y")
  5. ✅ 给出了下一步行动建议(不是"以后再聊",而是"下周可以做一个2小时的POC")
  6. ✅ 语气:平等对话,不是技术布道;自信但不吹牛

What it can do on your machine

Read from SKILL.md and the folder at commit 66e02d2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AI Sales Champion loads about 533 tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 95 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~533
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from staruhub/ClaudeSkills at commit 66e02d2, republished under its MIT licence (© staruhub). 95 words, ~533 tokens.

Download SKILL.mdSave it as .claude/skills/ai-sales-champion/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
ai-sales-champion
description
AI咨询/销售的对话策略助手。当用户需要准备AI方案沟通、跟业务部门聊AI落地、写AI提案、应对客户异议、做AI培训破冰时使用。触发场景:"怎么跟老板聊AI"、"客户说AI不靠谱"、"准备一个AI方案汇报"、"帮我想想怎么推AI"、"业务部门不配合"、"AI项目怎么卖"、"demo之后怎么跟进"。也适用于AI咨询师、技术合伙人、CTO做内部AI推广。
version
1.0.0

AI 销冠

帮技术人把AI讲成业务人听得懂、愿意买单的语言。

核心理念

业务部门不关心模型参数,只关心三件事:能省多少钱、能多赚多少钱、风险可不可控。

所有输出必须围绕这个铁律组织。如果一句话里有技术名词但没有业务翻译,这句话就是噪音。

验收标准

每次输出完成后逐条自查:

  1. ✅ 所有AI技术概念都有"业务翻译"(如 RAG → "让AI查你们自己的知识库再回答")
  2. ✅ 包含至少一个与对方行业/部门直接相关的落地场景
  3. ✅ 有量化预期(时间节省X%、成本降低Y万、效率提升Z倍),允许用行业 benchmark 估算
  4. ✅ 明确标注了风险和局限("AI能做X,但目前还不能做Y")
  5. ✅ 给出了下一步行动建议(不是"以后再聊",而是"下周可以做一个2小时的POC")
  6. ✅ 语气:平等对话,不是技术布道;自信但不吹牛

不做什么

  • 不写技术架构文档(那是 solution-architect 的事)
  • 不做市场调研报告(那是 deep-research 的事)
  • 不写合同/报价(法务和商务问题超出范围)
  • 不替用户做决策——给框架、给弹药,但最终怎么聊是用户自己的判断

工作模式

模式A:对话备战

用户要跟某个业务部门/客户聊AI,需要准备。

输出结构:

  • 对方画像:这个部门/客户最关心什么?最怕什么?决策链是谁?
  • 开场切入:用对方的痛点开场,不是用AI的能力开场
  • 3个落地场景:从最容易见效的开始排,每个含"做什么→省什么→多久见效"
  • 异议预案:预判2-3个对方可能的反对意见 + 应对话术
  • 收尾动作:明确的下一步(不是"保持联系")
模式B:异议应对

用户已经在聊了/聊完了,遇到了具体反对意见,需要应对策略。

先理解异议的真实含义(参考 references/objection-decoder.md),再给应对话术。

模式C:方案包装

用户有技术方案,需要翻译成业务语言做汇报/提案。

核心操作:砍掉技术细节 → 放大业务价值 → 加上风险对冲 → 给出行动路线图。

已知陷阱

陷阱具体表现应对
技术自嗨花15分钟讲RAG/Agent架构,对方眼神涣散30秒电梯测试:能不能用一句"它帮你们的XX岗位,把XX事情从X天变成X小时"说清楚?
Demo陷阱Demo很惊艳,但对方说"挺酷的,但跟我们业务有什么关系?"永远用对方的数据/场景做Demo,不用通用例子。没有对方数据就先做一个mock
万能AI"AI可以解决你们所有问题" → 对方立刻不信主动说"这三件事AI能做好,这两件事现在还不行",反而建立信任
ROI模糊"AI能提升效率" — 提升多少?在哪个环节?必须给数字,哪怕是估算。"行业平均,类似场景节省30-50%人工时间"比"提升效率"有用100倍
忽略决策链只说服了技术负责人,但拍板的是业务VP开聊前先搞清楚:谁用、谁批、谁付钱。三个角色可能需要三套不同话术
跳过信任上来就推方案,对方还在"AI会不会替代我们"的焦虑中先解决情绪问题再解决方案问题。"AI是给你们团队加一个不知疲倦的助手,不是替换谁"
没有锚点聊完很兴奋,但没有约下一步每次对话结束前,钉一个具体的下一步:"下周三我们用你们的XX数据跑一个小测试?"

参考文档

以下文档按需加载,不要每次都全部读取:

  • references/objection-decoder.md — 常见异议的真实含义解码 + 应对话术库。模式B必读。
  • references/industry-scenarios.md — 按行业分类的AI落地场景速查。模式A参考。
  • references/value-calculator.md — ROI估算框架和行业benchmark。需要量化时参考。

evals/routing-evals.json — 触发边界回归用例,改 description 后用仓库根 scripts/run_routing_evals.py 校验。

© staruhub, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/Geek-skills-ai-sales-champion of staruhub/ClaudeSkills.

  • SKILL.md
  • evals/routing-evals.json
  • references/industry-scenarios.md
  • references/objection-decoder.md
  • references/value-calculator.md

Open the folder on GitHubat commit 66e02d2

Compare with similar skills

AI Sales Champion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

AI Sales Champion compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Sales Champion this skillstaruhub/ClaudeSkills728—~533Automated safety check: PassMIT
PR Merge Championsickn33/agentic-awesome-skills47k1 repos~1.3kAutomated safety check: PassMIT
Champion Trackergooseworks-ai/goose-skills1.2k1 repos~1.1kAutomated safety check: NotesMIT
Champion Move Outreachgooseworks-ai/goose-skills1.2k1 repos~6.6kAutomated safety check: PassMIT
Accessibility Champion ProgramFerroxLabs/wayland608—~3.9kAutomated safety check: PassApache-2.0
Champion Engagement Systemgtmagents/gtm-agents4141 repos~344Automated safety check: PassApache-2.0

Similar skills

  • PR Merge Champion

    sickn33/agentic-awesome-skills

    Optimize pull requests for quick approval and merging by ensuring clean diffs, comprehensive self-reviews, and structured documentation.

    47k GitHub starsUsed in 1 repo~1.3k tokens
    DevelopmentAuto-check passed
  • Champion Tracker

    gooseworks-ai/goose-skills

    Track product champions for job changes and qualify their new companies against ICP.

    1.2k GitHub starsUsed in 1 repo~1.1k tokens
    Documents & OfficeAuto-check: notes
  • Champion Move Outreach

    gooseworks-ai/goose-skills

    End-to-end champion/buyer/user job change signal composite. An agent skill from gooseworks-ai/goose-skills.

    1.2k GitHub starsUsed in 1 repo~6.6k tokens
    Sales & SupportAuto-check passed
  • Organizational accessibility culture building expertise covering champion network design, accessibility training curricula, audit cadence and methodology, KPI definition and tracking, executive…

    608 GitHub stars~3.9k tokensUpdated 5 days ago
    Frontend & DesignAuto-check passed
  • Champion Engagement System

    gtmagents/gtm-agents

    Framework for recruiting, activating, and rewarding community champions.

    414 GitHub starsUsed in 1 repo~344 tokens
    Business, Finance & HRAuto-check passed
  • Champion Move Detection

    swan-gtm/gtm-skills

    Use this skill on a monthly cadence to detect champions and heavy users of your paying customers who changed jobs, verify the move against live LinkedIn data, score the new company, and surface…

    172 GitHub stars~5k tokensUpdated 3 days ago
    Sales & SupportAuto-check passed

More from staruhub/ClaudeSkills

All 20 skills in this repo
  • Deep Research

    staruhub/ClaudeSkills

    A skill your agent uses when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a…

    728 GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed
  • Wechat Article Writer

    staruhub/ClaudeSkills

    专业微信公众号文章助手,支持四个独立且可组合模式:article 写正文;image-prompts 从文章生成版本化、provider-neutral 的图片提示词 manifest 与稳定占位符,但不调用生图;layout 把文章和 manifest 确定性转换为微信安全的内联 HTML;full-pipeline…

    728 GitHub stars~1.8k tokensUpdated 1 mo ago
    Auto-check passed
  • A Share Analyst

    staruhub/ClaudeSkills

    A股分析研究助手,提供行情数据获取与技术面/基本面分析框架(仅供研究参考,不构成投资建议)。适用于:(1) 获取A股行情和历史数据,(2) 技术面分析(K线形态、MACD、KDJ、RSI、布林带等),(3) 基本面分析(财务指标、估值分析),(4) 板块热点追踪,(5) 选股策略筛选与量化因子分析,(6)…

    728 GitHub stars~871 tokensUpdated 1 mo ago
    Auto-check passed
  • C Drive Cleaner

    staruhub/ClaudeSkills

    Windows C盘清理和磁盘空间管理。当用户说C盘满了、磁盘空间不足、清理临时文件/缓存/回收站/系统日志、查找大文件、分析磁盘占用时使用。仅适用于 Windows 环境。不用于:macOS/Linux 磁盘清理、卸载软件(引导用户走系统卸载)、清理用户个人文件(只报告位置,删除决定权在用户)。

    728 GitHub stars~518 tokensUpdated 1 mo ago
    Auto-check passed
  • Gaokao Expert

    staruhub/ClaudeSkills

    资深高考命题专家助手,提供专业的命题指导和评审服务。适用于创作高考试题、评审试题质量、分析试卷结构、了解命题趋势等场景。结合文档工具提取解压文件,使用网络搜索了解当年最新命题趋势,使用分析工具评估题目质量和试卷结构。涵盖"一核四层四翼"评价体系、题型规范、评分标准、命题流程等多个维度。不用于:大学/考研/中考命题(体系不同,仅可借鉴)、日常作业题编写、直接替考生解题。

    728 GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed
  • LLM Wiki

    staruhub/ClaudeSkills

    Build and maintain a structured LLM-generated wiki for any codebase.

    728 GitHub stars~1.6k tokensUpdated 1 mo ago
    Auto-check passed

Questions about AI Sales Champion

What does AI Sales Champion do?

AI咨询/销售的对话策略助手。当用户需要准备AI方案沟通、跟业务部门聊AI落地、写AI提案、应对客户异议、做AI培训破冰时使用。触发场景:"怎么跟老板聊AI"、"客户说AI不靠谱"、"准备一个AI方案汇报"、"帮我想想怎么推AI"、"业务部门不配合"、"AI项目怎么卖"、"demo之后怎么跟进"。也适用于AI咨询师、技术合伙人、CTO做内部AI推广。. AI Sales Champion is an agent skill from staruhub/ClaudeSkills.

How do I install AI Sales Champion in Claude Code?

Run `npx skills add staruhub/ClaudeSkills --skill ai-sales-champion -a claude-code`. Or copy the skill folder (skills/Geek-skills-ai-sales-champion in staruhub/ClaudeSkills) into .claude/skills/ai-sales-champion in your project. Claude Code loads it when a task matches its description.

How do I install AI Sales Champion in Codex?

Run `npx skills add staruhub/ClaudeSkills --skill ai-sales-champion -a codex`. Or copy the skill folder (skills/Geek-skills-ai-sales-champion in staruhub/ClaudeSkills) into .agents/skills/ai-sales-champion in your project. Codex loads it when a task matches its description.

Can I use AI Sales Champion in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add staruhub/ClaudeSkills --skill ai-sales-champion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-sales-champion, .gemini/skills/ai-sales-champion, .github/skills/ai-sales-champion and .opencode/skills/ai-sales-champion in your project.

What does AI Sales Champion need to run?

SKILL.md names no scripts, command-line tools or credentials: AI Sales Champion is instructions for the agent only.

Does AI Sales Champion access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is AI Sales Champion safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does AI Sales Champion use?

AI Sales Champion is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AI Sales Champion use?

About 533 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to AI Sales Champion?

Skills that share tags, products or a category with AI Sales Champion: PR Merge Champion (sickn33/agentic-awesome-skills, 47k stars), Champion Tracker (gooseworks-ai/goose-skills, 1.2k stars), Champion Move Outreach (gooseworks-ai/goose-skills, 1.2k stars) and Accessibility Champion Program (FerroxLabs/wayland, 608 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Sales Champion?

staruhub (a GitHub user) maintains it in staruhub/ClaudeSkills, which has 728 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on August 13, 2026.

Source: staruhub/ClaudeSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.