# Commonplace

> Use this tool when you need to automatically track and record your work activity on macOS, capturing application usage, browser history, and screenshots to build a searchable log of your daily activities. It solves problems related to time management, productivity tracking, and information retrieval by providing a locally-stored record of your work. The tool takes in user activity data and outputs a searchable database that can be queried using natural language.

Canonical page: https://skillsregistry.net/skills/bharatrameshwar-commonplace  
JSON: https://api.skillsregistry.net/v1/skills/bharatrameshwar-commonplace

## Description

Captures the frontmost macOS application, window title, browser URL every 5 seconds, and screenshots every 30 seconds, classifying activities using a locally-running Ollama model. Builds a searchable record of people, documents, links, and tickets encountered during the workday. An MCP server lets Claude query this local activity history with natural language. All processing is fully local with no cloud dependencies or telemetry.

## Trust

- **Trust score (0–1):** 0.34
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bharatrameshwar-commonplace)
- **Repository:** <https://github.com/bharatrameshwar/commonplace>

## 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": "bharatrameshwar-commonplace"
    }
  }
}
```

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