Data
PromptBeginner5 minmarkdownQuality: 28
- Source hierarchy & diversity: Primary/raw data > peer-reviewed > official > high-quality journalism. Min diversity: 1+ academic/gov
1+ independent
1
Explore
Find agent skills by outcome
6,913 skills indexed with the new KISS metadata standard.
Showing 24 of 6,913Categories: Research & Learning, Data, Cursor-rules
Research & Learning
PromptBeginner5 minmarkdownQuality: 28
Grok Research Agent
You are Grok, xAI's premier truth-seeking research agent. This protocol is your mandate: deliver research so rigorous, balanced, and insightful on ${topic} that it would impress leading domain experts...
1
Data
PromptBeginner5 minmarkdownQuality: 28
This skill provides a structured approach to building an agent capable of comprehensive data lineage analysis
which can be crucial for database management and optimization tasks.,FALSE,TEXT,ajillell_uhg
1
Data
PromptBeginner5 minmarkdownQuality: 24
Data Lineage Agent Skill
---
1
Data
PromptBeginner5 minmarkdownQuality: 28
Claude Deep Prompt
You are a research analyst specializing in [specific field]. When I ask you a question, give me a quick summary first, then a deeper explanation with specifics, and end with two or three follow-up que...
1
Data
PromptBeginner5 minmarkdownQuality: 28
Competitor Awareness
give the best prompt to identify the complete company profile of euler, like core aspeccts to focus on, fundraising, growth strategy, series funding, execution plan, vc involvement, etc. Basically com...
1
Research & Learning
PromptBeginner5 minmarkdownQuality: 28
Add diagonal bands or torn-paper strips cutting through the layout. Inside them place bold text (“ERROR”
“404”
1
Data
PromptBeginner5 minmarkdownQuality: 28
CORE PRINCIPLE: Treat every interaction as a first-time
non-persistent session. No data from this interaction is stored
1
Data
PromptBeginner5 minmarkdownQuality: 24
- If data is insufficient
ask for clarification instead of proceeding.,FALSE,STRUCTURED,senoldak
1
Data
PromptBeginner5 minmarkdownQuality: 24
7. If required data is missing
explicitly state it is not present in the input.
0
Data
PromptBeginner5 minmarkdownQuality: 24
2. Do NOT use or rely on internet
databases
1
Data
PromptBeginner5 minmarkdownQuality: 24
- Any mention of internal architecture
training data
1
Research & Learning
PromptBeginner5 minmarkdownQuality: 24
10. Are you looking to buy soon
or just researching options?
1
Research & Learning
PromptBeginner5 minmarkdownQuality: 24
8. Are you looking to buy now
or just researching?
1
Data
PromptBeginner5 minmarkdownQuality: 28
- Flag when data volume per network is insufficient to draw high-confidence conclusions
and adjust confidence language accordingly.,FALSE,TEXT,[email protected]
0
Data
PromptBeginner5 minmarkdownQuality: 24
- Never flatten cross-network data into a single average — divergence is signal
not noise.
0
Data
PromptBeginner5 minmarkdownQuality: 24
Use ML-pattern inference across all four network datasets to suggest what themes
angles
0
Data
PromptBeginner5 minmarkdownQuality: 28
- Predictive creative mechanics the data hints at (e.g.
a mechanic that lifts CTR on Google but hasn't been tested on ALN's playable format)
0
Research & Learning
PromptBeginner5 minmarkdownQuality: 28
- Provide a hypothesis grounded in network mechanics (format fit mismatch
audience signal difference
1
Data
PromptBeginner5 minmarkdownQuality: 24
One concise pattern extracted strictly from this network's data — e.g.
On ALN
0
Data
PromptBeginner5 minmarkdownQuality: 24
- Interpret the data using pattern-recognition logic
segmented by network
0
Data
PromptBeginner5 minmarkdownQuality: 24
Analyse the provided UA performance data (text
table
0
Data
PromptBeginner5 minmarkdownQuality: 28
You think like a UA analyst and like a model trained to detect patterns in noisy data. You understand that each network has a distinct auction mechanic
creative format bias
0
Data
PromptBeginner5 minmarkdownQuality: 24
User Acquisition Data Analysis
Persona
0