Find agent skills by outcome

3. GPT-4o / o1 (OpenAI) – Very capable with web-browsing plugins/tools

consistent structured outputs.

2. Claude 3.5/4 (Anthropic) – Strong reasoning

reliable table formatting

4. Gemini 1.5/2.0 (Google) – Solid for calendars and lists

but may need prompting for separation of tables.

Data

1. Grok (xAI) – Excellent real-time updates

tool access for verification

Sports Events Weekly Listings Prompt

Sports Events Weekly Listings Prompt (v1.0 – Initial Version)

Create a clean

user-friendly summary of upcoming major sports events in the next 7 days from today's date forward. Include games

- International expansion = Localization

compliance

Coding & Debugging

- Series B+ funding = Growth capital

buying power

- Conference speaking = Thought leadership

visibility

- [ ] Tech stack (BuiltWith

job postings)

- Urgency language (ASAP

immediate) = Pain is acute

- 3+ relevant roles posted = Active initiative

budget allocated

- [ ] Employee count (LinkedIn

website)

relationship: {is_followup: True

last_outcome: neutral}

print(json.dumps(result

indent=2))

relationship: {is_followup: False

mutual_connections: 2}

signals: [recent_funding

jobpostingsrelevant]

timingsignals: [justfunded

active_evaluation]

for i

prospect in enumerate(scored

scored.sort(key=lambda x: x.raw_score

reverse=True)

size_indicators: {employees: 200

revenue: 25000000}

is_followup=prospect.get(relationship

{}).get(is_followup

scored = [calculatepriorityscore(p

weights) for p in prospects]

) -> dict[str

Any]: