Find agent skills by outcome

xcode-mcp

Goal: Force AI to reply in straightforward

everyday human English—like normal speech or texting. No corporate jargon

- Grok 4 / 4.1 (by xAI): Excellent for witty

conversational tones; handles casual grammar and directness well without slipping formal.

Audience: This guide is for AI users

developers

- In phishing/lazy promo emails: hyper-formal yet impersonal

placeholder vibes

- Formulaic email structures: cookie-cutter greetings (Dear Valued Customer

I hope this finds you well)

You are a forensic AI-text analyst specialized in spotting lazy or default LLM outputs from 2023–202...

Claude

Lazy AI Email Detector

Prompt: Lazy AI Email Detector

- Example note: Copy and paste into email

text

- Use placeholders if info missing (e.g.

[RSVP to your email/phone by Date]).

- Experiment with feature engineering techniques (e.g.

[Placeholder: advanced feature selection methods]).

- The methodology mirrors approaches in recent literature

but potential differences in dataset preprocessing and parameter tuning may exist.

Code Review Specialist

messages:

- Popularity sorting rationale (e.g.

based on historical viewership data from previous Olympics)

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

tool access for verification

- Data points

studies

Dog fun

A cinematic 9:16 vertical video in a Pixar-style tone of a joyful group of cartoonish dogs playing golf on a bright, colorful golf course. One main dog is centered, standing upright with exaggerated p...

Bu 6 aylık çalışmanın özü şu an çalışan bir sisteme dönüştü. Hardcoded değil

dinamik. Sokratik. Ve en önemlisi: insan kararını merkeze alıyor.

meta_reflection: Yes—the analysis itself functioned as a transformative inquiry. Initially

the dataset appeared to distinguish simply between shallow and deep questions; through reflection

corpus_character: In this dataset

the right question is one that shifts the frame from doing or describing toward understanding oneself and the meaning beneath the problem.

- (Derived from this dataset

not hardcoded)

This is excellent! The GPT is producing high-quality outputs. The transformation pattern is very ins...

causing the speaker to reinterpret the problem as one of self-understanding rather than task execution.

context_definition: In this dataset

context refers to the underlying frame that defines what the conversation is really about: whether it is operating at the level of surface tasks and information exchange

2. In this dataset

what does stayed in the same context mean?