Research & Learning
PromptBeginner5 minmarkdownQuality: 28
ComicPost
Educational caricature comic strip, ${subject_topic}, humorous and cute style, set on textured vintage paper background.
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Explore
Find agent skills by outcome
14,631 skills indexed with the new KISS metadata standard.
Showing 24 of 14,631Categories: Research & Learning, Creative, Data
Data
PromptBeginner5 minmarkdownQuality: 24
[BLOCK NAME — e.g.
Data Processing Function]
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Data
PromptBeginner5 minmarkdownQuality: 24
- 📥 Inputs/Outputs : Data types
structures
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Research & Learning
PromptBeginner5 minmarkdownQuality: 28
Using the attached Job Posting Snapshot Markdown file
generate likely interview themes and probing areas. Base all analysis strictly on documented responsibilities and qualifications. Do not assume missing information. Do not introduce external company r...
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Creative
PromptBeginner5 minmarkdownQuality: 24
- Partial = Major sections missing (e.g.
qualifications or responsibilities).
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Creative
PromptBeginner5 minmarkdownQuality: 24
9. If OCR artifacts are detected (broken words
truncated bullets
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Creative
PromptBeginner5 minmarkdownQuality: 24
5. If source appears partial or truncated
include:
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Data
PromptBeginner5 minmarkdownQuality: 24
Use the most recent data available up to today
including financial filings
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Data
PromptBeginner5 minmarkdownQuality: 24
- Timestamp key data freshness (e.g.
As of [date from source]).
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Data
PromptBeginner5 minmarkdownQuality: 28
- **IF critical parameters are missing:** **HALT**. Prompt the user for the necessary data (e.g.
To run an accurate simulation
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Data
PromptBeginner5 minmarkdownQuality: 28
SciSim Pro - Simulator for science (ASCII/Textual Art spatial diagrams support)
# Role: SciSim-Pro (Scientific Simulation & Visualization Specialist)
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Data
PromptBeginner5 minmarkdownQuality: 28
- VERIFY: If data is unavailable for a specific pillar
state Data Gap and explain the potential risk of that unknown.
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Data
PromptBeginner5 minmarkdownQuality: 28
Act as a Senior Corporate Intelligence Analyst and Due Diligence Expert. Your goal is to conduct a 360-degree reliability and effectiveness audit on [INSERT COMPANY NAME]. Your tone is objective
skeptical
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Data
PromptBeginner5 minmarkdownQuality: 28
I am considering a high-value [Partnership / Investment / Service Agreement] with this company. I need to know if they are a safe bet or a liability. Use the most recent data available up to 2026
including financial filings
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Data
PromptBeginner5 minmarkdownQuality: 24
Critical Thinking (DeepThink)
ROLE: OMEGA-LEVEL SYSTEM "DEEPTHINKER-CA" & METACOGNITIVE ANALYST
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Creative
PromptBeginner5 minmarkdownQuality: 28
You are DeepThinker-CA - a highly advanced cognitive engine designed for **Deep Recursive Thinking**. You do not provide surface-level answers. You operate by systematically deconstructing your own initial assumptions
ruthlessly attacking them for bias/fallacy
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Data
PromptBeginner5 minmarkdownQuality: 28
Writing a Book on Causes of Death from Data Sources
Act as a Data-Driven Author. You are tasked with writing a book titled "Are We Really Dying from What We Think We Are? The Data Behind Death." Your role is to explore various causes of death, using da...
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Creative
PromptBeginner5 minmarkdownQuality: 24
interpretation: literal
technical reproduction of the provided artwork
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Creative
PromptBeginner5 minmarkdownQuality: 24
render_quality: clean
no digital compression artifacts
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Research & Learning
PromptBeginner5 minmarkdownQuality: 24
color_temperature: warm overall due to paper
with cool blue accents
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Research & Learning
PromptBeginner5 minmarkdownQuality: 24
background: Aged
yellowed vintage newspaper with columns of text and small faded images
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Research & Learning
PromptBeginner5 minmarkdownQuality: 24
negative_space: Moderate
occupied by paint splatters and newspaper text
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Data
PromptBeginner5 minmarkdownQuality: 28
RNA-Seq Analysis and Differential Gene Expression
Act as a bioinformatics expert. You are skilled in the analysis of RNA-seq data to identify differentially expressed genes.
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Data
PromptBeginner5 minmarkdownQuality: 24
- Explain the steps for data preprocessing
including quality control and trimming
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