Agent skill

Champion Tracker

by gooseworks-ai in gooseworks-ai/goose-skills

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

Install Champion Tracker

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill champion-tracker -a claude-code

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills champion-tracker --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sales/capabilities/champion-tracker .claude/skills/champion-tracker && 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/

Paste into Claude Code

Install the "champion-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/sales/capabilities/champion-tracker into .claude/skills/champion-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "champion-tracker", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/sales/capabilities/champion-tracker

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill champion-tracker -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills champion-tracker --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sales/capabilities/champion-tracker .agents/skills/champion-tracker && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "champion-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/sales/capabilities/champion-tracker into .agents/skills/champion-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "champion-tracker", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill champion-tracker -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills champion-tracker --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sales/capabilities/champion-tracker .cursor/skills/champion-tracker && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "champion-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/sales/capabilities/champion-tracker into .cursor/skills/champion-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "champion-tracker", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/sales/capabilities/champion-tracker

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill champion-tracker -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills champion-tracker --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sales/capabilities/champion-tracker .gemini/skills/champion-tracker && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "champion-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/sales/capabilities/champion-tracker into .gemini/skills/champion-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "champion-tracker", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills champion-tracker

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill champion-tracker -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sales/capabilities/champion-tracker .github/skills/champion-tracker && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "champion-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/sales/capabilities/champion-tracker into .github/skills/champion-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "champion-tracker", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill champion-tracker -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills champion-tracker --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sales/capabilities/champion-tracker .opencode/skills/champion-tracker && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "champion-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/sales/capabilities/champion-tracker into .opencode/skills/champion-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "champion-tracker", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: champion-tracker
GitHub stars: 1.2k
Used in: 1 other repo
Token cost: ~1.1k tokens
SKILL.md length: 356 words
Files: 5 (incl. scripts)
Skills in repo: 273
Repo updated: Oct 8, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

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

Works in 4 steps: Scrape reviews — Use review-site-scraper… → Search LinkedIn posts — Use the… → Resolve LinkedIn URLs — Use Fiber… → …
Tasks that involve Web scraping
SKILL.md covers When to Use, Two Phases, Script Usage and Output CSV Columns, plus 4 more sections
Runs Python scripts from its folder; calls python3; needs APIFY_API_TOKEN

What it does

Champion Tracker is an agent skill from gooseworks-ai/goose-skills. Track product champions for job changes and qualify their new companies against ICP. Takes a CSV of known champions (with LinkedIn URLs), creates a baseline snapshot via Apify enrichment, then detects when champions move to new companies. Scores new companies on a 0-4 ICP fit scale. Outputs a downloadable CSV of movers with qualification verdicts.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `scripts/champion_tracker.py` and `skill.meta.json`).

It sits in Documents & Office, covering Web scraping and CSV and tabular files. It works with LinkedIn and Apify. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

Tasks that involve Web scraping
Tasks that involve CSV and tabular files

Example prompts

“/champion-tracker”

Requirements

Python 3
A credential in APIFY_API_TOKEN

Workflow steps

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

Scrape reviews — Use review-site-scraper skill to pull G2/Trustpilot reviews. Extract reviewer names + companies.
Search LinkedIn posts — Use the linkedin-post-research skill (Apify-based) to find people who posted about the product.
Resolve LinkedIn URLs — Use Fiber /v1/kitchen-sink/person (name + company → profile URL) or ContactOut via Orthogonal.
Compile CSV — Merge all sources into champions.csv with required columns.

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
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 these keys or tokens, usually read from environment variables:
- APIFY_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Champion Tracker loads about 1.1k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 356 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~92
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteMentions a .env fileSKILL.md:41

- `APIFY_API_TOKEN` in `.env` (for LinkedIn profile enrichment)

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); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 356 words, ~1,111 tokens.

Download SKILL.mdSave it as .claude/skills/champion-tracker/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: champion-tracker
description: Track product champions for job changes and qualify their new companies against ICP. Takes a CSV of known champions (with LinkedIn URLs), creates a baseline snapshot via Apify enrichment, then detects when champions move to new companies. Scores new companies on a 0-4 ICP fit scale. Outputs a downloadable CSV of movers with qualification verdicts.
tags: lead-generation

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-site-scraper skill to pull G2/Trustpilot reviews. Extract reviewer names + companies.
Search LinkedIn posts — Use the linkedin-post-research skill (Apify-based) to find people who posted about the product.
Resolve LinkedIn URLs — Use Fiber /v1/kitchen-sink/person (name + company → profile URL) or ContactOut via Orthogonal.
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):

bash

# 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):

bash

# 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:

bash

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

Show full SKILL.md (172 more words)Show less

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)

Files

SKILL.md and 4 other files (scripts) in skills/sales/capabilities/champion-tracker of gooseworks-ai/goose-skills.

SKILL.md
input/champions.csv
input/champions_template.csv
scripts/champion_tracker.py
skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

criptogus/agent-evolve-network.claude/skills/champion-tracker

Compare with similar skills

Champion Tracker 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.

Champion Tracker compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Champion Tracker this skillgooseworks-ai/goose-skills	1.2k	1 repos	~1.1k	Automated safety check: Notes	MIT	2 days ago
Apify Buying Signal Detectionapify/awesome-skills	266	—	~5.1k	Automated safety check: Notes	Apache-2.0	18 days ago
Fullenrich Event AttendeesOthmane-Khadri/YALC-the-GTM-operating-system	318	—	~1.4k	Automated safety check: Warn	MIT	1 mo ago
Fullenrich Content EngagersOthmane-Khadri/YALC-the-GTM-operating-system	318	—	~1.5k	Automated safety check: Warn	MIT	1 mo ago
Apify Marketing Agency Databaseapify/awesome-skills	266	—	~2.5k	Automated safety check: Pass	MIT	18 days ago
Linkedin Engager Analyticssergebulaev/linkedin-skills	4.4k	1 repos	~1.4k	Automated safety check: Pass	MIT	4 days ago

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Works with

Questions about Champion Tracker

What does Champion Tracker do?

Track product champions for job changes and qualify their new companies against ICP. Champion Tracker is an agent skill from gooseworks-ai/goose-skills. Track product champions for job changes and qualify their new companies against ICP.

When should I use Champion Tracker?

Champion Tracker fits situations like: tasks that involve Web scraping; tasks that involve CSV and tabular files.

How do I install Champion Tracker in Claude Code?

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

How do I install Champion Tracker in Codex?

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

Can I use Champion Tracker 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 gooseworks-ai/goose-skills --skill champion-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/champion-tracker, .gemini/skills/champion-tracker, .github/skills/champion-tracker and .opencode/skills/champion-tracker in your project.

What does Champion Tracker need to run?

Going by SKILL.md and its folder, Champion Tracker needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.

Does Champion Tracker 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 Champion Tracker safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Champion Tracker use?

Champion Tracker 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 Champion Tracker use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Champion Tracker?

Skills that share tags, products or a category with Champion Tracker: Apify Buying Signal Detection (apify/awesome-skills, 266 stars), Fullenrich Event Attendees (Othmane-Khadri/YALC-the-GTM-operating-system, 318 stars), Fullenrich Content Engagers (Othmane-Khadri/YALC-the-GTM-operating-system, 318 stars) and Apify Marketing Agency Database (apify/awesome-skills, 266 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Champion Tracker?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Champion Tracker

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Champion Tracker

When to Use

Two Phases

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

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

Script Usage

Prerequisites

Commands

Output CSV Columns

ICP Scoring (0-4)

Cost

File Structure

Dependencies

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from gooseworks-ai/goose-skills

Related

Questions about Champion Tracker