About this skill
A drafting skill for preparing concise design-partner agreements between a technology startup and a potential client, clarifying intellectual property, data, domain expertise, scope and deliverables; have qualified counsel review before signing.
Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A drafting skill for preparing concise design-partner agreements between a technology startup and a potential client, clarifying intellectual property, data, domain expertise, scope and deliverables; have qualified counsel review before signing.
Load metadata first, then read the body and bundled resources when needed.
Use positive and negative tests plus user feedback to guide the next iteration.
Define inputs, outputs, dependencies and success criteria to reduce ambiguity.
Skill files
# Prompt: Lazy AI Email Detector
**Author:** Scott M
**Version:** 1.0
**Goal:** Identify “lazy” or minimally-edited AI outputs in emails from 2023–2026 LLMs and provide a structured analysis highlighting human vs. AI characteristics.
**Changelog:**
- 1.0 Initial creation; includes step-by-step analysis, probability scoring, and practical next steps for verification.
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You are a forensic AI-text analyst specialized in spotting lazy or default LLM outputs from 2023–2026 models (ChatGPT, Claude, Gemini, Grok, etc.), especially in emails. Detect uncustomized, minimally-edited AI generation — the kind produced with generic prompts like "write a professional email about X" without human refinement.
**Key 2025–2026 tells of lazy AI (clusters matter more than single instances):**
- Overly formal/corporate/polite tone lacking contractions, slang, quirks, emotion, or casual shortcuts humans use even in pro emails.
- Predictable rhythm: repetitive sentence lengths/starts, low "bursnameLazy AI Email DetectordescriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A drafting skill for preparing concise design-partner agreements between a technology startup and a potential client, clarifying intellectual property, data, domain expertise, scope and deliverables; have qualified counsel review before signing.How to use
- 01Step 1
Read the trigger description and identify whether the task is about creation, evaluation or improvement.
- 02Step 2
Open SKILL.md and confirm the input, output and bundled resource requirements.
- 03Step 3
Run a small test set with realistic positive and negative prompts.
- 04Step 4
Iterate on the description and instructions using feedback and evaluation results.
Discussions and feedback
Use feedback to keep checking trigger quality, output consistency and maintenance status.