Mood Tracker
Google AI EdgeOfficialPublished by Google AI Edge
- Skill
- Workflow
- Automation and integrations
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The Mood Tracker skill provides a structured way to record daily emotional states using a 1-10 scoring system and optional commentary. It enables users to maintain a historical log of their feelings, visualize progress through charts, and perform analytical reviews to identify trends or recurring patterns in their well-being over time. The skill supports data management tasks including entry updates, specific date lookups, data exports, and history clearing.
What it does
- Logs daily mood scores and personal comments.
- Retrieves mood history for specific dates or time ranges.
- Generates visual charts to display mood trends.
- Analyzes historical data to identify emotional patterns and themes.
- Supports data maintenance including deleting specific entries or wiping all history.
- Provides functionality to export mood data for backup purposes.
When to use it
- When you want to establish a daily habit of self-reflection.
- When you need to visualize how your mood has changed over the past week or month.
- When you want to identify potential triggers or patterns in your emotional well-being.
- When you need to manage or clear your personal mood data records.
Advantages
- Simple and intuitive interface for quick daily logging.
- Enables data-driven insights into personal emotional trends.
- Supports flexible date inputs for back-filling or reviewing past entries.
- Provides visual feedback through integrated charting capabilities.
Usage examples
- “Log my mood as 8 today, feeling great!”
- The agent records a mood score of 8 for the current date with the comment 'feeling great'.
- “Plot my mood for the last 7 days.”
- The agent retrieves the last week of data and displays a line chart visualizing the mood score trends.
- “Analyze my mood for the last 30 days — are there any patterns?”
- The agent retrieves the monthly history and provides a summary of trends, identifying clusters of high or low scores and common themes in comments.
- “Delete my mood for today.”
- The agent removes the mood entry associated with the current date.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/google-ai-edge/mood-tracker/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip mood-tracker.zip -d .agents/skills
Documentation by Google AI Edge
Mood Tracker
Instructions
The mood-tracker skill helps you keep track of your daily emotional well-being. You can log your mood on a scale of 1 to 10 and add a short comment about how you're feeling.
Actions
1. Log Mood
When a user wants to log their mood, call the run_js tool with:
script name:
index.htmldata: A JSON string with:
action: "log_mood"score: Number (1-10)comment: String (Optional)date: String. IMPORTANT: Identify the date for the entry.If user says "today", pass "today".
If user says "yesterday", pass "yesterday".
If user gives a specific date (e.g., "March 18"), format it as YYYY-MM-DD or pass the original date string.
If no date is mentioned, default to "today".
2. Get Mood for a Specific Date
When a user asks what their mood was on a specific date, call the run_js tool with:
script name:
index.htmldata: A JSON string with:
action: "get_mood"date: String (Identify the date from the user's request)
3. Get History / Show Dashboard
When a user wants to see their mood history ("last week", "past 10 days") or the dashboard, call the run_js tool with:
script name:
index.htmldata: A JSON string with:
action: "get_history"days: Number (Optional, default 7. E.g., for "last week" use 7)show_dashboard: Boolean (Optional)
4. Plot Mood Trends (Line Chart)
When a user wants to visualize their mood trends with a chart (e.g., "Plot my mood for 7 days"), call the run_js tool with:
script name:
index.htmldata: A JSON string with:
action: "get_history"days: Number (Optional, default 7)show_dashboard:trueTIP: This will trigger the plotting view in the dashboard.
5. Analyze Trends and Patterns
When a user asks for an analysis of their mood (e.g., "Are there any trends?", "Am I feeling better?"), follow these steps:
Call
run_jswithaction: "get_history"and an appropriatedayscount (e.g., 30 for a monthly analysis).Once you receive the JSON history, analyze the scores and comments.
Provide a thoughtful response to the user covering:
General trend (improving, declining, stable).
Any clusters of particularly good or bad days.
Themes or patterns found in the comments.
6. Delete Mood for a Specific Date
When a user wants to delete only a single day's entry (e.g., "Delete my mood for today"), call the run_js tool with:
script name:
index.htmldata: A JSON string with:
action: "delete_mood"date: String (Identify the date)
7. Export Data (Backup)
When a user wants to backup or export their data, call the run_js tool with:
script name:
index.htmldata: A JSON string with:
action: "export_data"
8. Wipe All Data
When a user wants to clear their entire mood history and start fresh, call the run_js tool with:
script name:
index.htmldata: A JSON string with:
action: "wipe_data"
Sample Commands
You can use these samples to interact with the mood tracker:
Logging Mood:
"Log my mood as 8 today, feeling great!"
"Set my mood yesterday as a 2"
"Set my mood on March 18, 2026 as a 1"
"I'm feeling like a 5 today, a bit tired."
"Last Friday I felt like a 7."
"Record a mood of 9 for me."
Viewing History:
"Show me my mood history."
"Get my mood from last week."
"How have I been feeling lately?"
"Show my mood for the last 10 days."
"Open the mood dashboard."
"What was my mood on March 18?"
"What was my mood yesterday?"
Analyzing Trends:
"Analyze my mood for the last 30 days — are there any patterns?"
"Am I generally feeling better or worse over time?"
"Are there any clusters of bad days in my history?"
"What do my recent comments suggest about my well-being?"
Wiping & Deleting:
"Delete my mood for today."
"Remove my mood log for yesterday."
"Delete the entry for March 18."
"Clear my mood history." (Use
wipe_datafor this)"Wipe my data." (Use
wipe_datafor this)
Charting Trends:
"Plot my mood for the last 7 days."
"Show me a chart of my mood this month."
"Visualize my scores for the past 14 days."
"Graph my mood progress."
Rules
Privacy: All data is stored locally on your device.
No Entry: If no mood entry exists for a specific date requested, explicitly inform the user that no entry was found for that date.
Updates: Logging a mood for a date that already has an entry will update that entry.
Dashboard: The dashboard is only shown when you explicitly ask to see your history or the dashboard itself.
Files
- ATTRIBUTION.mdAdded by AutoGineer895 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md4.9 KiB
- assets/dashboard.html18.7 KiB
- scripts/index.html5.0 KiB
Requirements and compatibility
Written for: Google AI Edge Gallery
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
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Attribution and licence
- Published by
- Google AI Edge
- Publisher
- Google AI Edge (Official)
- Source
- google-ai-edge/gallery · skills/built-in/mood-tracker · commit 3972f06
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Google AI Edge or Google AI Edge.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download mood-tracker.zip