Writing
PromptBeginner5 minmarkdown
Factory.ai's Droid CLI System Prompt
generic skill
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Writing
PromptBeginner5 minmarkdown
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Data
PromptBeginner5 minmarkdown
atlan-sql-connector-patterns
Select and apply the correct SQL connector implementation pattern (SDK-default minimal or source-specific custom). Use when building or extending SQL metadata/query extraction connectors.
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Writing
PromptBeginner5 minmarkdown
Using LLM Agents with Llama 3, LangGraph and Milvus
generic skill
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Writing
PromptBeginner5 minmarkdown
Reference: Mastra.listStoredAgents() | Core
Documentation for the `Mastra.listStoredAgents()` method in Mastra, which retrieves a paginated list of agents from storage.
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Data
PromptBeginner5 minmarkdown
@datagrok/core-schema
Shared Drizzle ORM schema for the 15 core Datagrok tables that grok-smith apps reference
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Data
PromptBeginner5 minmarkdown
FORMAL REVIEW: CAM-BS2025-AEON-006-SCH-03
Salience Delegation & Latent Horizon Preservation
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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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Writing
PromptBeginner5 minmarkdown
Tell Your Story
Write a personal story about why I started contributing to open source, what drives me, and how sponsorship helps me continue this journey in [field/technology].
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Writing
PromptBeginner5 minmarkdown
Announce Milestone
Write an announcement for my Sponsors page about a new milestone or feature in [project], encouraging new and existing sponsors to get involved.
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Writing
PromptBeginner5 minmarkdown
Create a Professional Bio
Write a GitHub Sponsors bio for my profile that highlights my experience in [your field], the impact of my open source work, and my commitment to community growth.
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Writing
PromptBeginner5 minmarkdown
Future Vision
Write a compelling vision statement about where I see [project/work] going in the next 2-3 years and how sponsors can be part of that journey.
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Writing
PromptBeginner5 minmarkdown
Write Tier Descriptions
Write descriptions for three GitHub Sponsors tiers ($5, $25, $100) that offer increasing value and recognition to supporters.
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Data
PromptBeginner5 minmarkdown
{{base}}
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Data
PromptBeginner5 minmarkdown
AML.T0056: Extract LLM System Prompt
generic skill
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Writing
PromptBeginner5 minmarkdown
A2A Remote Agent Interaction Guide
Tools prefixed with `A2A_` are autonomous remote agents.
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Writing
PromptBeginner5 minmarkdown
You are an impartial evaluator comparing multiple AI model outputs for the same task.
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
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Writing
PromptBeginner5 minmarkdown
humanizer-ko
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
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Writing
PromptBeginner5 minmarkdown
humanizer-ko
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
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Writing
PromptBeginner5 minmarkdown
humanizer-ko
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
0
Writing
PromptBeginner5 minmarkdown
humanizer-ko
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
0
Writing
PromptBeginner5 minmarkdown
Reference: Mastra.listStoredAgents() | Core
Documentation for the `Mastra.listStoredAgents()` method in Mastra, which retrieves a paginated list of agents from storage.
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Writing
PromptBeginner5 minmarkdown
Claude Development Notes
For this project, use minimal spacing to keep layouts compact:
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Data
PromptBeginner5 minmarkdown
FORMAL REVIEW: CAM-BS2025-AEON-006-SCH-03
Salience Delegation & Latent Horizon Preservation
0