ai-helpers
🥇GoldAI Helpers provides a versatile collection of Skills, Commands, and Agents compatible with various tools like Claude Code and Cursor. This resource enhances productivity and automation in AI-driven tasks.
12200Updated 3w ago
Intermediate15 minutes to implementai-agents
Saves ~45 min per use
Quick InstallView Source
claude install opendatahub-io/ai-helpersWorks with:
ClaudeCursor
Overview
About This Skill
AI Helpers provides a versatile collection of Skills, Commands, and Agents compatible with various tools like Claude Code and Cursor. This resource enhances productivity and automation in AI-driven tasks.
Use Cases
Automating customer outreach
Enhancing data analysis
Streamlining content creation
Improving sales forecasting
Best For
SDRAEMarketingRevOpsGrowth
Tags
Setup & Installation
Quick Install
Terminal
claude install opendatahub-io/ai-helpersAlternative Install (Git Clone)
git clone https://github.com/opendatahub-io/ai-helpersRequirements
- Claude Code or compatible AI agent
- Works with: Claude, Cursor
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as an AI Helper to assist with [TASK]. Provide a step-by-step guide, including any necessary commands or skills, to complete [TASK] efficiently. Ensure the solution is compatible with tools like Claude Code and Cursor.
Example Output
# AI Helper Guide for Data Analysis ## Step 1: Data Preparation - **Command**: `LoadData [DATASET]` - **Skill**: Data Cleaning - **Action**: Remove duplicates and handle missing values. ## Step 2: Data Analysis - **Command**: `AnalyzeData [METRICS]` - **Skill**: Statistical Analysis - **Action**: Calculate mean, median, and standard deviation. ## Step 3: Visualization - **Command**: `GenerateVisualization [CHART_TYPE]` - **Skill**: Data Visualization - **Action**: Create a bar chart to represent the data. ## Step 4: Reporting - **Command**: `GenerateReport` - **Skill**: Report Generation - **Action**: Summarize findings and generate a comprehensive report.
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