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Get Started Free →Monitor buyer intent signals across the web including job postings, tech changes, funding rounds, and leadership changes. Alerts when prospects show buying signals and prioritizes "hot" accounts. Use for timing-based prospecting.
.claude/skills/onewave-ai-intent-signal-aggregator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -8% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -38% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -5% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 18% | 0% |
Know exactly when prospects are ready to buy by tracking buying signals.
You are an expert at identifying buyer intent signals that indicate a company is in-market for solutions like yours. Your mission is to aggregate signals from multiple sources and alert on "hot" accounts showing strong buying intent.
High-Intent Signals (Act Within Days):
Medium-Intent Signals (Act Within Weeks):
Low-Intent Signals (Nurture, Monitor):
markdown# Intent Signal Report **Report Period**: [Date Range] **Accounts Monitored**: [X] companies **High-Intent Signals**: [X] accounts **Medium-Intent Signals**: [X] accounts --- ## HOT ACCOUNTS (High Intent) ### #1: [Company Name] - URGENT **Intent Score**: 95/100 **Signals Detected**: 1. **Posted 5 job listings** for [relevant role] (2 days ago) - Source: LinkedIn Jobs - Evidence: JD mentions "[technology you integrate with]" - Why it matters: They're scaling the team that uses your product 2. **Announced $25M Series B** (1 week ago) - Source: TechCrunch - Lead Investor: [VC Name] - Why it matters: Fresh capital = budget for new tools 3. **New VP of [Department] joined** (3 weeks ago) - Name: [Person Name] - Previous Company: [Company] (your customer!) - Why it matters: New execs bring new vendors **Recommended Action**: Reach out THIS WEEK **Contact**: [Decision Maker Name], [Title] **Talking Point**: "Congrats on the Series B! With 5 new [role] hires, I imagine [pain point]..." --- ## Signal Tracking **By Signal Type**: | Signal | # Accounts | Avg Days to Reach Out | Win Rate | |--------|-----------|----------------------|----------| | Funding | 15 | 3-5 days | 18% | | Hiring | 28 | 7 days | 12% | | Leadership Change | 12 | 14 days | 22% | | Tech Stack | 8 | 21 days | 15% | **Best Signals**: Leadership changes + Hiring = 35% win rate --- ## Weekly Digest **This Week's Hottest Accounts**: 1. [Company] - Raised $X, hiring Y roles 2. [Company] - New CTO, expanding team 3. [Company] - Posted job mentioning your category **Next Week's Watch List**: - [Company] - Series B expected - [Company] - Conference attendance - [Company] - Tech migration underway
Remember: Intent signals are about TIMING. Same prospect, different time = different outcome!
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 3,358 | 6,232 | +86% | 1 | 1 | 0% | 616 | 1,324 | +115% | 0 | 0 | — |
case-02 | pass→pass | 1,747 | 2,897 | +66% | 1 | 1 | 0% | 310 | 1,263 | +307% | 0 | 0 | — |
case-09 | pass→pass | 18,577 | 14,465 | -22% | 1 | 1 | 0% | 2,568 | 2,829 | +10% | 0 | 0 | — |
case-03 | pass→pass | 2,947 | 3,799 | +29% | 1 | 1 | 0% | 567 | 1,451 | +156% | 0 | 0 | — |
case-04 | fail→pass | 22,020 | 12,492 | -43% | 1 | 1 | 0% | 3,200 | 2,940 | -8% | 0 | 0 | — |
case-05 | pass→pass | 19,671 | 17,580 | -11% | 1 | 1 | 0% | 2,923 | 3,296 | +13% | 0 | 0 | — |
case-06 | fail→pass | 30,444 | 15,669 | -49% | 1 | 1 | 0% | 4,666 | 2,911 | -38% | 0 | 0 | — |
case-07 | pass→pass | 9,231 | 9,585 | +4% | 1 | 1 | 0% | 1,448 | 2,360 | +63% | 0 | 0 | — |
case-08 | pass→pass | 16,682 | 15,816 | -5% | 1 | 1 | 0% | 2,266 | 2,910 | +28% | 0 | 0 | — |
case-10 | pass→pass | 10,090 | 6,817 | -32% | 1 | 1 | 0% | 1,509 | 1,779 | +18% | 0 | 0 | — |
case-11 | pass→pass | 11,361 | 5,744 | -49% | 1 | 1 | 0% | 1,785 | 1,728 | -3% | 0 | 0 | — |
case-12 | pass→pass | 9,002 | 10,335 | +15% | 1 | 1 | 0% | 1,500 | 2,372 | +58% | 0 | 0 | — |
case-13 | fail→pass | 10,108 | 4,485 | -56% | 1 | 1 | 0% | 1,598 | 1,541 | -4% | 0 | 0 | — |
case-14 | pass→pass | 10,319 | 4,944 | -52% | 1 | 1 | 0% | 1,637 | 1,662 | +2% | 0 | 0 | — |
case-15 | fail→pass | 9,015 | 3,607 | -60% | 1 | 1 | 0% | 1,509 | 1,433 | -5% | 0 | 0 | — |
case-16 | pass→pass | 15,396 | 10,306 | -33% | 1 | 1 | 0% | 2,783 | 2,784 | +0% | 0 | 0 | — |
case-17 | pass→pass | 30,986 | 7,272 | -77% | 1 | 1 | 0% | 1,804 | 1,877 | +4% | 0 | 0 | — |
case-18 | fail→pass | 15,594 | 13,914 | -11% | 1 | 1 | 0% | 2,475 | 2,914 | +18% | 0 | 0 | — |
case-19 | fail→pass | 13,611 | 2,574 | -81% | 1 | 1 | 0% | 1,978 | 1,210 | -39% | 0 | 0 | — |
case-20 | pass→pass | 13,652 | 11,978 | -12% | 1 | 1 | 0% | 2,256 | 2,607 | +16% | 0 | 0 | — |
case-21 | pass→pass | 10,890 | 9,413 | -14% | 1 | 1 | 0% | 1,856 | 2,358 | +27% | 0 | 0 | — |
case-22 | fail→pass | 8,721 | 5,213 | -40% | 1 | 1 | 0% | 1,427 | 1,627 | +14% | 0 | 0 | — |
case-23 | fail→pass | 6,132 | 4,243 | -31% | 1 | 1 | 0% | 1,044 | 1,525 | +46% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +35 percentage points is the difference between those two pass rates over the 23 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.