dexcom

Monitor blood glucose via Dexcom G7/G6 CGM

533 stars

Best use case

dexcom is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Monitor blood glucose via Dexcom G7/G6 CGM

Teams using dexcom should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/dexcom/SKILL.md --create-dirs "https://raw.githubusercontent.com/sundial-org/awesome-openclaw-skills/main/skills/dexcom/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/dexcom/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How dexcom Compares

Feature / AgentdexcomStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Monitor blood glucose via Dexcom G7/G6 CGM

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Dexcom CGM

Real-time blood glucose monitoring via Dexcom G6/G7 continuous glucose monitor.

## Setup

Set environment variables:
```bash
export DEXCOM_USER="your@email.com"
export DEXCOM_PASSWORD="your-password"
export DEXCOM_REGION="ous"  # or "us" (optional, defaults to "ous")
```

Or configure in `~/.clawdbot/clawdbot.json`:
```json5
{
  skills: {
    "dexcom": {
      env: {
        DEXCOM_USER: "your@email.com",
        DEXCOM_PASSWORD: "your-password",
        DEXCOM_REGION: "ous"
      }
    }
  }
}
```

## Usage

**Formatted report:**
```bash
uv run {baseDir}/scripts/glucose.py now
```

**Raw JSON:**
```bash
uv run {baseDir}/scripts/glucose.py json
```

## Example Output

```
🩸 Glucose: 100 mg/dL (5.6 mmol/L)
📈 Trend: steady ➡️
🎯 Status: 🟢 In range
⏰ 2026-01-18 09:30:00
```

## Requirements

- Dexcom G6 or G7 with Share enabled
- uv (Python package manager)
- Valid Dexcom Share credentials

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