Find agent skills by outcome

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

photography_style: High-resolution cinematic photorealism. Saturated colors (green

gold) contrasted by cool marble tones and deep shadows.

- To restart in headed mode

you must first execute: agent-browser close

Midjourney

An ancient library hidden inside a giant hollow tree, magical and inviting atmosphere expression, majestic interior view, thousands of leather-bound books on curved wooden shelves, spiral staircase wi...

- 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):

- NDA generator: inputs both party names

confidentiality scope

Stack: React

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

- Personalized playbook: 14-day calendar where each day has a specific task

a customized template

- Daily execution log: each day the user marks the task complete and answers: What happened? and Wha...

150 chars each

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

- Performance dashboard: P&L chart (daily)

total return