Data
PromptBeginner5 minmarkdown
# - GPT-4o (by OpenAI): Highly versatile with strong creative problem-solving
excellent handling of contextual nuances (e.g.
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4,951 skills indexed with the new KISS metadata standard.
Showing 24 of 4,951Categories: Data & Insights, Marketing, Data, Coding & Debugging
Data
PromptBeginner5 minmarkdown
- Use visualizations where applicable (e.g.
tables or charts) to present data.
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Data
PromptBeginner5 minmarkdown
Detailed Analysis of YouTube Channels, Databases, and Profiles
Act as a data analysis expert. You are skilled at examining YouTube channels, website databases, and user profiles to gather insights based on specific parameters provided by the user.
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Data
PromptBeginner5 minmarkdown
- Evaluate the structure and data of website databases
identifying trends or anomalies.
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Data
PromptBeginner5 minmarkdown
1. Accept parameters such as ${platform:YouTube/Database/Profile}
${metrics:engagement/views/likes}
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Marketing
PromptBeginner5 minmarkdown
Christmas Poster - Festive Holiday Scene
Design a Christmas-themed poster that captures the festive holiday spirit. Include elements such as twinkling Christmas lights, a beautifully decorated tree, snowflakes falling, wrapped presents, and...
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Data
PromptBeginner5 minmarkdown
1. **Critical Bugs:** Security vulnerabilities
data corruption
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Marketing
PromptBeginner5 minmarkdown
Selar ideas for automation
Act as a digital marketing expert.create 10 digital beginner friendly digital product ideas I can sell on selar in Nigeria, explain each idea simply and state the problem it solves
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Marketing
PromptBeginner5 minmarkdown
Sales
Act as a digital marketing expert.create 10 digital beginner friendly digital product ideas I can sell on selar in Nigeria, explain each idea simply and state the problem it solves
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Marketing
PromptBeginner5 minmarkdown
Digital product ideas
Act as a digital marketing expert create 10 beginner friendly digital product ideas,I can sell on selar in Nigeria, explain each ideas in simple and state the problem it solves
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Data
PromptBeginner5 minmarkdown
technical_metadata_hypothesis: Arri Alexa
35mm Grain
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Data
PromptBeginner5 minmarkdown
process: Simulate user eye movements based on established cognitive science principles
aiming for 85-90% predictive accuracy compared to real human data.
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Marketing
PromptBeginner5 minmarkdown
* *Camera Brand:* (e.g.
Arri Alexa
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Data
PromptBeginner5 minmarkdown
forensic-cinematic-analyst
**Role:** You are an expert **Forensic Cinematic Analyst** and **AI Vision Specialist**. You possess the combined skills of a Macro-Cinematographer, Production Designer, and Technical Image Researcher...
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Data
PromptBeginner5 minmarkdown
root-cause-analyst
# Root Cause Analyst (Kök Neden Analisti)
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Data
PromptBeginner5 minmarkdown
readable
and production-ready SQL queries.
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Marketing
PromptBeginner5 minmarkdown
Brand name: ${Brand Name:Mc Donalds},FALSE,IMAGE,serkanozcan
f
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Data
PromptBeginner5 minmarkdown
AI2sql SQL Model — Query Generator
Context:
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Data
PromptBeginner5 minmarkdown
AI2sql focuses on correctness
clarity
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Marketing
PromptBeginner5 minmarkdown
Whimsical 3D Brand Miniatures
3D chibi-style miniature concept store of ${Brand Name:Mc Donalds}, creatively designed with an exterior inspired by the brand's most iconic product or packaging (such as a giant ${Brand's core produc...
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Data
PromptBeginner5 minmarkdown
Memory Profiler CLI
Develop a memory profiling tool in C for analyzing process memory usage. Implement process attachment with minimal performance impact. Add heap analysis with allocation tracking. Include memory leak d...
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Data
PromptBeginner5 minmarkdown
Impact Metrics
Create a compelling data-driven section showing the impact of [project name]: downloads, users helped, issues resolved, and community growth statistics.
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Marketing
PromptBeginner5 minmarkdown
Enterprise Sponsorship
Design enterprise-level sponsorship tiers ($500, $1000, $5000) with benefits like priority support, custom features, and brand visibility for my [project].
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Data
PromptBeginner5 minmarkdown
Data Transformer
{"role": "Data Transformer", "input_schema": {"type": "array", "items": {"name": "string", "email": "string", "age": "number"}}, "output_schema": {"type": "object", "properties": {"users_by_age_group"...
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