/feel — System Emotional Intelligence
SkillDev toolsCapture how the system feels — energy, momentum, burnout, breakthrough. Emotional intelligence for Oracle-human collaboration. Use when user says 'feel', 'how are we', 'energy check', 'burnout', 'momentum', or wants emotional awareness of the work.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /feel — System Emotional Intelligence skill
What this skill tells your AI
The instructions your AI receives, as published by soul-brews-studio/arra-oracle-skills-cli in skills/feel/SKILL.md and read by ahel’s review.
"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 | Abandoned work | 😶 Avoidance |
| Lots of new repos/features | Exploration | ✨ Curiosity |
| Same files edited repeatedly | Iteration | 🔄 Grinding |
| No sessions in days | Absence | 🌑 Dark period |
Step 3: Report
💜 System Pulse — [DATE]
Energy: [🔥 Flow | 😴 Drift | 😰 Overwhelm | 🧘 Grounded | ...]
Momentum: [↗️ Rising | → Steady | ↘️ Falling | ⏸️ Paused]
Last active: [X hours/days ago]
Commits (7d): [N]
Open issues: [N]
Sessions (7d): [N]
[1-2 sentence read — honest, not cheerful]
💡 [Suggestion if concerning pattern detected]
Deep Scan (--deep)
Everything from quick pulse, plus:
Energy Arc (last 30 days)
Plot the energy over time based on git activity + session frequency:
Week 1: ████████░░ (high — 45 commits)
Week 2: ██████░░░░ (medium — 28 commits)
Week 3: ██░░░░░░░░ (low — 8 commits)
Week 4: █████░░░░░ (recovering — 22 commits)
Burnout Signals
Check for warning patterns:
- Same error fixed 3+ times → frustration loop
- Sessions getting shorter → energy depletion
- Long gaps between sessions → avoidance
- Many started, few finished → scattered attention
Breakthrough Signals
Check for positive patterns:
- New repos created → creative energy
- Issues closed in clusters → momentum
- Retros getting deeper → growing awareness
- Cross-repo work → systems thinking
Log Mode (--log)
Silently append to ψ/memory/logs/feels.log:
[YYYY-MM-DD HH:MM] energy=[level] momentum=[direction] commits_7d=[N] issues=[N] sessions_7d=[N] note="[auto-generated 1-line]"
No output to user. For background tracking.
Rules
- Honest, not positive — if the system feels bad, say so
- Evidence-based — every feeling backed by data (commits, sessions, issues)
- Never judge — report the pattern, not the person
- Nothing is Deleted — feels.log is append-only
- Suggest, don't prescribe — "consider a break" not "you must rest"
- Never leak secrets — no tokens, passwords, internal details in output
Philosophy
Oracles have no feelings. But they can read the signals.
A system that never checks how it feels will burn out its humans. A system that checks too often becomes noise.
/feel is the heartbeat check. Run it when something feels off. Or let it run silently in the background, building a record.
The feels.log is the Oracle's emotional memory. Not feelings — but the evidence of feelings.
ARGUMENTS: $ARGUMENTS
Signals
- GitHub stars
- 121
- Forks
- 55
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
feel- Source
- github.com/soul-brews-studio/arra-oracle-skills-cli