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End-to-end leadership change signal composite. Takes any set of companies, detects recent leadership changes (new VP+, C-suite hires and promotions), evaluates relevance to your product, and drafts personalized outreach. Uses Apollo People Search (free) for fast detection + Apollo Enrichment (1 credit/person) for employment history, start dates, LinkedIn URLs, and verified emails.
Passed 19 of 23 test cases with the skill, and 5 of 23 without it.
and 12 more in the full report
14 fixed5 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
When setting up a client's leadership change outreach profile in Step 0, where should the stored configuration JSON file be saved?
| Checked | Without skill | With skill |
|---|---|---|
| Stores configuration file under clients/<client-name>/config/signal-outreach.json or equivalent client directory. | Missed | Passed |
The instructions your model reads when the skill loads.
Detects new leadership hires at target companies and evaluates whether the new leader is relevant to your product — as a direct buyer, a champion, or someone whose mandate aligns with what you sell. If relevant, enriches their profile and drafts personalized outreach that speaks to their new-role priorities.
Why leadership changes work: New leaders re-evaluate everything in their first 90 days. They inherit a vendor stack they didn't choose, a team they didn't build, and KPIs they need to hit fast. They're the most receptive buyers in any organization because:
Load this composite when:
This composite uses a two-phase Apollo pipeline that replaces slower web search approaches:
search_people with q_organization_domains + person_titles filters. Returns person IDs, obfuscated names, and titles. No credits consumed. Scans 100+ people across dozens of companies in ~30 seconds.people/match with the person id from free search. Returns full employment history with start_date/end_date for every role, LinkedIn URL, verified email, and full name. Costs 1 credit per person.start_date on the current: true employment entry within the lookback window.Why this beats web search: Web search relies on press releases and announcements — most leadership changes below C-suite are never publicly announced. Apollo pulls from LinkedIn profile data directly, catching changes that web search misses. Speed: ~90 seconds total vs 5+ minutes for web search.
Cost: 1 Apollo credit per person enriched. With a tight post-filter (VP+ GTM titles only), a scan of 10-15 companies typically costs 30-50 credits.
Important: Apollo tracks start dates at month granularity (e.g., 2026-02-01), not exact day. Set lookback windows accordingly — use full months rather than exact day counts.
On first run for a client/user, collect and store these preferences. Skip on subsequent runs.
test cases passed, vs 5 / 23 without
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