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End-to-end funding signal composite. Takes any set of companies, detects recent funding events, qualifies against your company context, finds relevant people (buyers, champions, users), and drafts personalized outreach. Tool-agnostic — works with any company source, contact finder, and outreach platform.
Passed 16 of 23 test cases with the skill, and 7 of 23 without it.
and 8 more in the full report
10 fixed7 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When running the funding signal detection step without an explicit lookback period configured, how far back should search queries scan by default?
| Checked | Without skill | With skill |
|---|---|---|
| Set the default lookback window to 30 days. | Missed | Passed |
The instructions your model reads when the skill loads.
Detects recent funding events across a set of companies, qualifies them against your company's context, finds the right people to reach out to, and drafts personalized emails. The full chain from signal to outreach-ready.
Load this composite when:
This composite is tool-agnostic. Each step defines a data contract (what goes in, what comes out). The specific tools that fulfill each step are configured once per client/user, not asked every run.
┌─────────────────────────────────────────────────────────────────┐
│ FUNDING SIGNAL OUTREACH │
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ DETECT │──▶│ QUALIFY │──▶│ FIND │──▶│ DRAFT │ │
│ │ Funding │ │ & Rank │ │ People │ │ Emails │ │
│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
│ │ │ │ │ │
│ Input: companies + your company + buyer + signal │
│ Tool: web search context personas context │
│ or apollo (LLM) Tool: apollo (LLM) │
│ or crunchbase or linkedin │
│ or any or clearbit │
│ or any │
└─────────────────────────────────────────────────────────────────┘
On first run for a client/user, collect and store these preferences. Skip on subsequent runs.
test cases passed, vs 7 / 23 without
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