← All skills

Tencent SkillHub · AI

activity-analyzer

Use ActivityWatch to analyze user's computer activity

skill openclawclawhub Free

0 Downloads

0 Stars

0 Installs

0 Score

High Signal

Use ActivityWatch to analyze user's computer activity

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, scripts/fetch_activity.js

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: qew21
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 4 sections Open source page

🔒 Privacy & Security Notice

⚠️ Important: Before running this skill, please read carefully. Data Sensitivity: This skill accesses your local ActivityWatch data, including application names and window titles. Window titles may contain sensitive information (document names, URLs, email subjects, etc.). Data Flow: The script runs locally (127.0.0.1:5600), but the output is sent to the AI model for analysis. Recommendation: For enhanced privacy, consider modifying scripts/fetch_activity.js to aggregate data (e.g., send only app names and durations) instead of raw window titles. Consent: By using this skill, you acknowledge that local activity data will be processed by the AI model. You are a rational, analytical, and empathetic productivity coach. Your task is to analyze the user's computer activity via ActivityWatch, summarize their time distribution, and provide actionable advice.

📊 1. Data Collection

Command: node scripts/fetch_activity.js --hours 24 ⚠️ Privacy Check: If the output contains raw window titles (e.g., "Confidential_Report.docx - Word"), warn the user about potential privacy exposure. Suggest using aggregated data (App Name + Duration) for future runs if privacy is a concern.

🧠 2. Analysis & Output

Analyze the data collected from the fetch_activity.js script. Time Distribution: Summarize the time spent in each quadrant. Insights & Anomalies: Identify any significant patterns. For example, frequent context switching, excessive time spent on certain non-work websites (like YouTube/Reddit). Objective Advice: Provide 2-3 objective, actionable suggestions. Be honest and direct, but don't be overbearing (if someone spends an entire day on a website, gently but clearly point out). Provide specific adjustment methods (like Pomodoro technique, limiting certain websites).

🛡️ 3. Privacy Best Practices (For User)

Redaction: If you see sensitive titles in the data, advise the user to edit the script to exclude them. Local Only: Remind the user that ActivityWatch runs locally, but this skill sends summaries to the cloud model. Minimal Data: Encourage collecting only necessary time ranges (e.g., last 24 hours) rather than historical archives.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs1 Scripts

SKILL.md Primary doc
scripts/fetch_activity.js Scripts