feel

Parse mood, energy, and trigger fields into a local diary log.

116|56|Updated Jan 18, 2026
One-click install
npx skills add https://github.com/Soul-Brews-Studio/oracle-skills-cli --skill feel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feel
Source: https://github.com/Soul-Brews-Studio/oracle-skills-cli/tree/main/src/skills/feel
Command: npx skills add https://github.com/Soul-Brews-Studio/oracle-skills-cli --skill feel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps individuals capture and organize their emotional state, turning subjective feelings into structured records for reflection and pattern recognition.

Core Features & Use Cases

  • Quick mood logging: record current mood with optional energy and triggers.
  • Pattern insight: review past entries to identify mood trends and correlation with triggers or time of day.
  • Personal diary: maintain a private emotional diary for self-awareness and mental wellness.

Quick Start

Use the /feel command to view recent moods and log new entries as you go:

  • /feel # List recent feelings
  • /feel [mood] # Quick log: /feel sleepy
  • /feel [mood] energy:[1-5] # With energy: /feel tired energy:2
  • /feel [mood] trigger:[text] # With trigger: /feel anxious trigger:deadline

Frequently Asked Questions about feel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I log my daily mood and track emotional triggers?

To track mood and emotional triggers, input your current feeling along with optional energy and trigger details. The system parses this input into structured fields, writes entries to a local diary log, and offers contextual suggestions for behavior insights.

What is mood tracking and how does capturing energy levels help with pattern analysis?

Mood tracking records subjective feelings alongside optional energy levels and specific triggers to create structured data. Capturing energy levels helps identify correlations between emotional states, daily energy fluctuations, and behavioral patterns over time for deeper reflection.

Can I review past diary entries to identify mood trends over time?

Yes, you can review past diary entries to identify mood trends and correlations with triggers or times of day. The system maintains a local diary log of structured emotional records to enable pattern recognition and personal behavior insights.

Does this mood diary require any special setup or external dependencies?

No external dependencies are required to maintain this mood diary. It operates independently to parse your input into mood, energy, and trigger fields, writing entries directly to a local log for private emotional tracking and mental wellness.

What is the best way to record an anxious mood triggered by a specific event?

The best way to record an anxious mood triggered by an event is to log the mood along with the specific trigger text. This captures the contextual cause directly in the local diary, allowing you to later analyze correlations between events and emotional patterns.

Are there limitations to using a local diary log for personal emotions tracking?

A limitation of using a local diary log for personal emotions tracking is that data remains isolated to your current environment without automatic cloud synchronization. Pattern analysis depends entirely on your consistent manual input of mood, energy, and trigger fields.