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.
SkillScore88Maintained
Automatic
◆Sales & GTM pack
Last verified 8/16/2026
What it changes
Passed 19 of 22 test cases with the skill, and 8 of 22 without it.
Without skill38%
With skill88%
Checks it passed that the model alone missed
$3
1.0
Weak Fit
and 9 more in the full report
12 fixed9 passed either way3 still failing0 broke
Pass-rate lift
+50 pp
Tokens
-1%
Agent turns
0%
Response time
-72%
Model gemini-3.6-flashMeasured 8/16/2026v121 of 24 cases passed with skill · 22 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 12
Prompt
Where does the main tracker script attempt to import its `LinkedInEnricher` class from before falling back to an inline implementation?
What was checked, without and with the skill
Checked
Without skill
With skill
skills/lead-qualification/scripts/enrich_leads.py
Missed
Passed
case-18 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md114 lines2 filesincludes scripts
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.