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Find agent skills by outcome

1,446 skills indexed with the new KISS metadata standard.

Showing 24 of 1,446Categories: Data, Communication, Writing, Cursor-rules
Writing
PromptBeginner5 minmarkdown

Factory.ai's Droid CLI System Prompt

generic skill

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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

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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.

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
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

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