SKILL.md
/feel — System Emotional Intelligence
"Code has no feelings. But the humans writing it do. And the patterns in the code reveal what the humans feel."
Usage
/feel # Quick pulse — how does the system feel right now?
/feel --deep # Deep scan — energy arc, momentum, burnout signals
/feel --log # Append to feels.log (no output, just record)
Step 0: Timestamp
date "+🕐 %H:%M %Z (%A %d %B %Y)"
Quick Pulse (default)
Read the signals and report:
Step 1: Gather evidence
# Recent git activity — momentum or silence?
git log --oneline --since="7 days ago" --all 2>/dev/null | wc -l
# Session frequency — are we showing up?
ls -t ~/.claude/projects/*/**.jsonl 2>/dev/null | head -10
# Open issues — overwhelmed or on track?
gh issue list --state open --limit 50 --json number 2>/dev/null | jq 'length'
# Recent retros — are we reflecting?
ls -t ψ/memory/retrospectives/**/*.md 2>/dev/null | head -5
# Stale branches — unfinished business?
git branch --sort=-committerdate | head -10
Step 2: Classify the feeling
| Signal | Indicator | Feeling |
|---|---|---|
| Many commits, short intervals | High activity | 🔥 Flow / momentum |
| Few commits, long gaps | Low activity | 😴 Drift / disconnection |
| Many open issues, few closed | Growing backlog | 😰 Overwhelm |
| Recent retros + handoffs | Healthy reflection | 🧘 Grounded |
| Stale branches, no PRs |
