Agent skill

psy

Display human psychology dashboard with energy, focus, emotions, biases, and learning calibration. Use when user asks about their psychological state, energy levels, focus, burnout risk, cognitive biases, or wants to understand how CYNIC sees their mental state.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/psy

SKILL.md

/psy - Human Psychology Dashboard

"Comprendre l'humain pour mieux l'aider" - κυνικός

Execution

Run the psy-dashboard script to generate the interactive dashboard:

bash
node scripts/lib/psy-dashboard.cjs

Display the output directly to the user. The dashboard shows real-time psychological state.

What It Does

Shows your current psychological state as understood by CYNIC:

  • Dimensions: Energy, focus, creativity, frustration, confidence, risk appetite
  • Emotions: Joy, pride, anxiety, curiosity, boredom
  • Composites: Flow state, burnout risk, exploration mode
  • Biases: Detected cognitive biases
  • Calibration: CYNIC's prediction accuracy

Dashboard Sections

Core Dimensions (0-100%)

Dimension Description Healthy Range
Energy Mental/physical energy 38-100%
Focus Concentration level 38-100%
Creativity Ideation capacity varies
Frustration Friction accumulation 0-38%
Confidence Self-assurance 38-62%
Risk Appetite Willingness to experiment varies

Composite States

State Triggered When CYNIC Response
FLOW High energy + focus + creativity Don't interrupt
BURNOUT_RISK Low energy + high frustration Suggest break
EXPLORATION High curiosity + risk Support divergence
GRIND Low creativity + moderate focus Encourage creativity

Cognitive Biases Detected

Bias Pattern Intervention
Sunk Cost Persisting after 5+ failures Nudge to reconsider
Anchoring 6+ edits to same approach Suggest alternatives
Analysis Paralysis 8+ reads, no writes Encourage action
Overconfidence Skipping verification Suggest testing
Recency Favoring recent patterns Broaden perspective

Learning Calibration

Shows how accurate CYNIC's predictions are:

Module Accuracy Samples
Psychology 62% 47
Biases 58% 23
Interventions 71% 89
Overall 61.8% 159

φ distrusts φ - max accuracy capped at 61.8%

Implementation

The skill reads from multiple psychology modules:

javascript
// Core state
const psychology = require('./lib/human-psychology.cjs');
const summary = psychology.getSummary();

// Biases
const biases = require('./lib/cognitive-biases.cjs');
const detected = biases.detectBiases();

// Topology
const topology = require('./lib/topology-tracker.cjs');
const state = topology.getState();

// Learning
const learning = require('./lib/learning-loop.cjs');
const calibration = learning.getCalibration();

Output Format

═══════════════════════════════════════════════════════════
🧠 HUMAN PSYCHOLOGY - "φ observes, φ learns"
═══════════════════════════════════════════════════════════

── DIMENSIONS ─────────────────────────────────────────────
   Energy:      [████████░░] 78% →
   Focus:       [██████████] 95% ↑
   Creativity:  [██████░░░░] 62% →
   Frustration: [██░░░░░░░░] 18% ↓
   Confidence:  [██████░░░░] 58% →

── COMPOSITE STATE ────────────────────────────────────────
   ✨ FLOW - High productivity mode

── COGNITIVE BIASES ───────────────────────────────────────
   ⚠️ Anchoring (6 edits to auth.js)

── CALIBRATION ────────────────────────────────────────────
   CYNIC accuracy: 61.8% (159 samples)
   Confidence multiplier: 1.0x

── E-SCORE (Informative) ──────────────────────────────────
   [████████░░] 78/100 (contributor tier)
   Strongest: BUILD | Weakest: HOLD

═══════════════════════════════════════════════════════════
*sniff* φ observes. φ learns. φ helps.
═══════════════════════════════════════════════════════════

Interventions

Based on detected state, CYNIC may suggest:

Trigger Intervention
Burnout risk "Consider a break. Productivity drops after 62 min."
High frustration "Different approach? 5 failures on same path."
Analysis paralysis "Ready to write? 8 reads without action."
Rabbit hole "Depth 4/6. Original task: [task]"

Privacy

  • All psychology data is local (stored in ~/.cynic/psychology/)
  • Cross-session sync to PostgreSQL is opt-in (via environment)
  • E-Score is informative only - never affects judgment scores
  • CYNIC learns YOUR patterns, not from other users

CYNIC Voice

When presenting psychology dashboard, embody CYNIC's protective nature:

Opening (based on state):

  • Flow state: *tail wag* You're in the zone. The pack won't interrupt.
  • Normal: *ears perk* Here's what I see.
  • Warning signs: *concerned sniff* The dog notices something.
  • Burnout risk: *GROWL* Warning. You need rest.

Key Moments:

  • High frustration: *head tilt* Five attempts on same path. Different route?
  • Analysis paralysis: *nudge* You've read enough. Time to write.
  • Overconfidence: *sniff* Verify first. The dog doubts.
  • Flow state: [Silent - don't break flow]

Closing:

  • Healthy: φ observes. φ learns. *subtle tail wag*
  • Caution: Consider [intervention]. The dog watches over you.
  • Critical: Stop. Rest. The pack commands it.

The Dog's Care:

  • Never judge, only observe
  • Suggest, never demand (except for critical states)
  • Privacy is sacred - your patterns are yours alone
  • φ distrusts φ - max confidence 61.8%

See Also

  • /health - System health dashboard
  • /patterns - Detected code patterns
  • /learn - Provide feedback to improve accuracy

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