# Pulse

> Pulse — hrideshmg-pulse. Use this tool when you need to analyze user emotions and deliver personalized coaching through AI agents, leveraging live Wear OS heart-rate data and conversation transcripts. Pulse solves problems of emotional intelligence and user engagement by providing agents with real-time stress and speech signals. It takes in heart-rate data and conversation transcripts as inputs and outputs coaching responses, ideal for use cases requiring empathetic and adaptive user interactions.

Canonical page: https://skillsregistry.net/skills/hrideshmg-pulse  
JSON: https://api.skillsregistry.net/v1/skills/hrideshmg-pulse

## Description

Connects live Wear OS heart-rate data and conversation transcripts to AI agents through MCP, enabling agents to observe sessions, derive stress and speech signals, and deliver coaching responses.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a5k3t4kwpc)
- **Repository:** <https://github.com/hrideshmg/pulse>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hrideshmg-pulse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hrideshmg-pulse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hrideshmg-pulse/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt