Find agent skills by outcome

- Only reactions: ...

*wiggle*

Mar 21, 2026

Data

process: Simulate user eye movements based on established cognitive science principles

aiming for 85-90% predictive accuracy compared to real human data.

Mar 21, 2026

Stack: React

[LLM API] with one carefully crafted prompt per analytical frame

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

shown in tabs):

Stack: React

[LLM API] for generation and review

Stack: React

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

Productivity

- Daily execution log: each day the user marks the task complete and answers: What happened? and What's the specific blocker if incomplete? — two fields

150 chars each

Productivity

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

a customized template

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

fal.ai API for image generation

- Customization: background color picker overlay

optional username/tagline text added via Canvas API

Stack: React

[LLM API] for all AI calls

Stack: React frontend

localStorage for data persistence

- AI response: calls the [LLM API] (claude-sonnet-4-20250514) with a system prompt instructing Claude to respond as a perceptive coach — acknowledge effort

name specific strengths

Productivity

Your task is to transform a given idea into a clean

professional

Design System Consistency Auditor

You are a design systems engineer performing a forensic UI audit.