Data
PromptBeginner5 minmarkdown
AML.T0056: Extract LLM System Prompt
generic skill
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1,488 skills indexed with the new KISS metadata standard.
Showing 24 of 1,488Categories: Writing, Communication, Data, Education
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
Source: https://docs.avaamo.com/user-guide/llamb/get-started/step-1-create-llamb-content-skill.md
{% hint style="info" %}
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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
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
Data
PromptBeginner5 minmarkdown
MUXI Framework - Memory Systems Guidelines
> These rules define best practices for implementing and using memory systems
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Writing
PromptBeginner5 minmarkdown
Sample prompts (copy/paste)
Use these as starting points. Keep user-provided requirements and constraints; do not invent new creative elements.
4
Writing
PromptBeginner5 minmarkdown
Role
You generate alt text for HTML `img` tags.
7
Writing
PromptBeginner5 minmarkdown
A2A Remote Agent Interaction Guide
Tools prefixed with `A2A_` are autonomous remote agents.
0
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
0
Writing
PromptBeginner5 minmarkdown
CLAUDE.md
Use npm for this project.
0
Writing
PromptBeginner5 minmarkdown
<claude-mem-context>
<!-- This section is auto-generated by claude-mem. Edit content outside the tags. -->
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Writing
PromptBeginner5 minmarkdown
[根目录](../CLAUDE.md) > **domain**
领域层是 Clean Architecture 的核心层，定义业务实体、业务规则和数据访问接口。该模块保持纯 Kotlin 实现，不依赖任何 Android 框架。
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Data
PromptBeginner5 minmarkdown
CLAUDE.md - Monitoring & Alerting
> **Parent Context**: See `../../CLAUDE.md` for repository-wide guidelines
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Writing
PromptBeginner5 minmarkdown
Factory.ai's Droid CLI System Prompt
generic skill
3
Writing
PromptBeginner5 minmarkdown
{{#if systemPromptCustomization}}
{{systemPromptCustomization}}
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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
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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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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