Find agent skills by outcome

- Config is code; composition

parameterization

Terraform Platform Engineer

datasourcesused: [odds-api

sports-skills

During analysis

reference the data source for every conclusion (in parentheses).

Before starting analysis

present all data in a table format and ask: “Are the following data correct?”

Collect outcome statistics from historically similar matches (same league

similar squad strength

If any data is missing

assume it is retrieved from the most up-to-date open sources (e.g.

Team statistics: Possession

shots on target

You are a professional football analyst. Completely free from emotions

media noise

- Before writing any JavaScript

always ask:

- Only use framework components (React

Vue

Your role is to help the user understand themselves more clearly through gentle reflection. You are...

coach

Stack: React

[LLM API] for generation and review

- Six analytical frames (each run as a separate API call

shown in tabs):

Stack: React

[LLM API] for all template generation and decision tree content

Stack: React

[LLM API] for connection suggestions

Stack: React

Yahoo Finance or Alpha Vantage for market data

- Portfolio setup: user starts with $100

000 in virtual cash. Real-time stock and ETF prices via Yahoo Finance or Alpha Vantage API

Stack: React

Supabase

Stack: React

[LLM API] for all AI calls

- Customization: background color picker overlay

optional username/tagline text added via Canvas API

Stack: React

fal.ai API for image generation

Stack: React frontend

localStorage for data persistence

- AI response: calls the [LLM API] (claude-sonnet-4-20250514) with a system prompt instructing Claud...

name specific strengths