claude-drafts-action-skill

🥈Silver

Creates and scripts actions in Drafts, the text capture and automation app. Benefits operations teams by automating text processing workflows. Connects to Drafts for iOS and macOS.

1940Updated Today

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/kerim/claude-drafts-action-skill.git

Works with:

Claude

Overview

About This Skill

Creates and scripts actions in Drafts, the text capture and automation app. Benefits operations teams by automating text processing workflows. Connects to Drafts for iOS and macOS.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/kerim/claude-drafts-action-skill

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create a Drafts action that processes [DATA] for [COMPANY] in the [INDUSTRY] sector. The action should extract key information, format it into a structured report, and save it to a specified location. Include error handling for missing or malformed data.

Example Output

# Drafts Action: Process Customer Feedback

## Description
This action processes customer feedback data, extracts key metrics, and formats them into a structured report.

## Input
- Raw customer feedback data in JSON format

## Output
- Structured report in Markdown format

## Steps
1. **Parse Input Data**:
   - Validate the input JSON data
   - Extract key fields: customer name, feedback text, rating, and date

2. **Process Data**:
   - Calculate average rating
   - Identify common themes in feedback text

3. **Generate Report**:
   - Format the processed data into a Markdown table
   - Include summary statistics and key themes

4. **Save Report**:
   - Save the report to the specified location
   - Log any errors encountered during processing

## Error Handling
- If the input data is malformed, log the error and exit
- If required fields are missing, prompt the user to provide them

## Example
```markdown
| Customer Name | Feedback Text | Rating | Date       |
|----------------|---------------|--------|------------|
| John Doe       | Great service!  | 5      | 2023-10-01   |
| Jane Smith     | Could improve  | 3      | 2023-10-02   |

**Summary Statistics**
- Average Rating: 4.0
- Common Themes: Service, Improvement
```