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champion-tracker（冠军追踪者）

Agent Skill

champion-tracker 用于查找、检索和筛选相关信息，适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

总安装

1,542

周安装

GitHub Stars

下载量

499

CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

GitHub

来源数

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：champion-tracker（冠军追踪者）
来源仓库：https://github.com/nikiandr/goose-skills
仓库路径：skills/champion-tracker
安装命令：
npx skills add https://github.com/nikiandr/goose-skills --skill champion-tracker
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

skills.shnpx skills

npx skills add https://github.com/nikiandr/goose-skills --skill champion-tracker

简介

champion-tracker 用于监控产品 champions 的职位变动，并对新公司是否符合目标客户画像（ICP）进行评分。

适合已有用户列表、希望捕捉高意向重售信号并评估 ICP 匹配度的使用场景。
分阶段实现：先通过公开资源构建初始名单，再自动检测跳槽事件并打分。
需结合 review-scraper 等工具获取原始数据，注意网络请求与数据解析的稳定性。
适用宿主包括 Codex、Claude、Cursor、Gemini CLI，接入前应确认版本、权限和运行环境要求。

SKILL.md

Champion Tracker

Detect when product champions change jobs and qualify their new companies against ICP.

When to Use

You have a list of known product users/champions (from reviews, LinkedIn posts, CRM exports)
You want to detect when they change companies (high-intent re-sell signal)
You want each job change scored against ICP before reaching out

Two Phases

Phase A: Discover Champions (agent-driven, one-time)

Build the initial champion list from public sources. This is done by the agent, not the script.

Scrape reviews — Use review-scraper skill to pull G2/Trustpilot reviews. Extract reviewer names + companies.
Search LinkedIn posts — Use Crustdata MCP to find people who posted about the product.
Resolve LinkedIn URLs — Use Crustdata MCP to search by name + company → get profile URLs.
Compile CSV — Merge all sources into champions.csv with required columns.

Phase B: Track Job Changes (script-driven, repeatable)

Use champion_tracker.py for ongoing tracking.

Script Usage

Prerequisites

APIFY_API_TOKEN in .env (for LinkedIn profile enrichment)
Champion CSV with columns: name, linkedin_url (required); original_company, original_title, email, source, notes (optional)

Commands

Initialize baseline (first run):

# Dry run — see cost estimate
python3 skills/champion-tracker/scripts/champion_tracker.py init -i champions.csv --dry-run

# Create baseline
python3 skills/champion-tracker/scripts/champion_tracker.py init -i champions.csv

Check for job changes (subsequent runs):

# Dry run
python3 skills/champion-tracker/scripts/champion_tracker.py check --dry-run

# Detect changes and output CSV
python3 skills/champion-tracker/scripts/champion_tracker.py check -o changes.csv

View status:

python3 skills/champion-tracker/scripts/champion_tracker.py status

Output CSV Columns

Column	Description
champion_name	Full name
linkedin_url	LinkedIn profile URL
previous_company	Company at baseline
previous_title	Title at baseline
new_company	Current company (changed)
new_title	Current title
change_detected_date	Date this check was run
position_start_date	When they started the new role
days_since_change	Days since new position started
icp_score	0-4 ICP qualification score
icp_verdict	Strong Fit / Good Fit / Possible Fit / Weak Fit
icp_notes	Scoring breakdown
email	Email if available
notes	Original notes from champion CSV

ICP Scoring (0-4)

Signal	Points	What it checks
B2B signal	1.0	Title contains sales/SDR/revenue/growth keywords
Outbound motion	1.0	Sales leadership title (VP Sales, Head of Growth, etc.)
Company size	1.0 / 0.5	SMB/mid-market = 1.0; unknown = 0.5 benefit-of-doubt
Seniority	1.0	VP, Director, Head of, C-level, Founder

Verdicts: Strong Fit (>=3) / Good Fit (>=2) / Possible Fit (>=1.5) / Weak Fit (<1.5)

Cost

~$3 per 1,000 LinkedIn profiles enriched
50-80 champions ≈ $0.15-0.25 per run
--dry-run always shows cost before any API calls

File Structure

skills/champion-tracker/
  SKILL.md                    # This file
  scripts/
    champion_tracker.py       # Main CLI script
  input/
    champions_template.csv    # Template for manual additions
  snapshots/                  # Created at runtime
    baseline.json             # Latest full snapshot
    archive/                  # Timestamped copies
  output/                     # Created at runtime
    changes-YYYY-MM-DD.csv    # Generated output

Dependencies

Reuses LinkedInEnricher from skills/lead-qualification/scripts/enrich_leads.py
Falls back to inline implementation if import fails
Requires: requests (Python package), APIFY_API_TOKEN (env var)

适合场景

用户想查找某类 Agent Skill 时

需要根据任务场景推荐可安装能力包时

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明，方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.87%

按下载量换算174

Claude

29.05%

按下载量换算145

Cursor

18.78%

按下载量换算94

Gemini CLI

7.88%

按下载量换算39

安全审计

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可疑

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API，使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果，不能写成本站确认安全。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/nikiandr/goose-skills

SKILL.md 来源

github.com

/nikiandr/goose-skills/tree/main/skills/champion-tracker

skills-sh

skills.sh

/nikiandr/goose-skills/champion-tracker

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