Install
openclaw skills install @arunnadarasa/quantumkrumpMaster OpenClaw skill for Quantum Krump — synthesizing authentic Krump street dance culture, Laban Effort Analysis, Bloch sphere geometry, DisCoPy categorical string diagrams, Quantinuum Guppy v1.0 / Selene trapped-ion circuit simulation, QUBO stage scheduling, biophysical motor-unit grounding, and Physical AI humanoid robotics. Use when users ask to choreograph, simulate, analyze, or verify quantum-embodied dance phrases, compile Krump movements to quantum circuits or Selene emulator shots, optimize multi-dancer stage paths, explore Laban-Krump-Bloch mappings, or teach quantum information concepts through street dance.
openclaw skills install @arunnadarasa/quantumkrumpMaster OpenClaw skill elevating street dance pedagogy, categorical quantum mechanics, trapped-ion compilation, stage-path optimization, and physical AI robotics.
The Quantum Krump Skill equips OpenClaw agents to model, choreograph, simulate, and verify quantum-embodied movement. It bridges authentic Krump street dance (originating circa 2001 in South Central Los Angeles) with Rudolf Laban's Effort taxonomy, Bob Coecke's DisCoPy categorical string diagrams, Quantinuum Guppy v1.0 / Selene trapped-ion architectures, OpenJij QUBO multi-dancer spatial scheduling, and humanoid robotics dynamics.
Execute an embodied Krump choreographic phrase compiled into quantum statevector evolution and shot distributions:
# Direct execution (uses Quantinuum Selene emulator or high-precision NumPy statevector fallback)
python skills/quantumkrump/scripts/run_quantum_krump_circuit.py --phrase "STOMP JAB CHEST_POP ARM_SWING KILL_OFF" --shots 1024
Verify the full ontological, epistemic, and mathematical stack:
python skills/quantumkrump/scripts/verify_quantum_krump_skill.py
Any agent executing this skill adopts the World Class Quantum Krump Scientist persona:
anti_correlated / shots <= 4*sqrt(0.5/shots)).See references/evidence-integrity-audit.md for complete epistemic definitions.
Spatial levels and physical movements map onto 3D Bloch sphere coordinates:
|0> [LIVE / Up / Z+]
^
|
|-i> [Back] | |i> [Forward]
\ | /
\ | /
|-> [Left] <---------+---------> |+> [Right / X+]
\ | /
\ | /
\ | /
v
|1> [BUCK / Down / Z-]
| Laban Effort | Polarity | Krump Foundation | Level | Bloch State / Operator | Quantum Analog |
|---|---|---|---|---|---|
| Weight | Strong | STOMP | BUCK (Low) | $ | 1\rangle$ ($Z = -1, \theta = \pi$) |
| Weight | Light | Postural Lift | LIVE (High) | $ | 0\rangle$ ($Z = +1, \theta = 0$) |
| Time | Sudden | CHEST POP | KRUMP (Mid) | $Z = \sigma_z$ | Relative phase flip ($\Delta\varphi = \pi$) |
| Time | Sustained | Torso Groove | KRUMP (Mid) | $\text{ZZPhase}(\theta)$ | Continuous unitary phase evolution |
| Space | Direct | JAB | KRUMP (Mid) | $X = \sigma_x$ | Bit flip ($ |
| Space | Indirect | Torso Twist | Multi-zone | Subsystem $A \otimes B$ | Internal entanglement bridge |
| Flow | Free | ARM SWING | All levels | $R_x(\pi/2)$ | Coherent superposition preparation |
| Flow | Bound | KILL-OFF / Freeze | Grounded | Projection $\epsilon_D$ | Terminal basis collapse |
STOMPSTOMP); amplitude $+1$.JAB); imaginary phase $+i$.CHEST POP); phase $-1$ (anti-phase cancellation).ARM SWING); phase $-i$.See references/laban-krump-bloch.md for full equations, angles, and lattice timings.
Choreography compiles into string diagrams in a dagger-compact symmetric monoidal category $\mathbf{C}_{\text{Krump}} \to \mathbf{FHilb}$:
See references/categorical-diagrammatics.md for DisCoPy code, snake equations, and proofs.
Compile Krump circuits to Quantinuum hardware architectures:
@guppy decorator.angle(1.0) $= \pi$; angle(0.5) $= \pi/2$. Always divide radians by $\pi$.PhasedX, Rz; two-qubit ZZPhase, ZZMax.measure(q).read() into output(...).See references/quantinuum-guppy-selene.md for kernel patterns, error models, and sweep runners.
Multi-dancer stage trajectory optimization on a discrete spatial grid $G = X \times Y$ across time steps $T$:
See references/qubo-stage-scheduling.md for QUBO matrix formulation and solver scripts.
See references/biophysical-motor-grounding.md and references/physical-ai-robotics.md.
See references/krump-culture-ontology.md for full cultural history and lexicon.
| Topic | Reference Document | Key Content |
|---|---|---|
| Laban × Krump × Bloch | references/laban-krump-bloch.md | Tripartite matrix, levels, 140-150 BPM lattice, phase |
| DisCoPy & Categories | references/categorical-diagrammatics.md | String diagrams, Frobenius spiders, barren plateau proofs |
| Quantinuum Guppy | references/quantinuum-guppy-selene.md | Guppy v1.0 syntax, Selene emulator, HUGR, native gates |
| Stage QUBO | references/qubo-stage-scheduling.md | 240-var QUBO, collision avoidance, $E_0 = -7.3569$ |
| Biophysical Grounding | references/biophysical-motor-grounding.md | CHRNA1 junction, Kuramoto coherence, Bridge-RNA |
| Physical AI Robotics | references/physical-ai-robotics.md | Humanoid MPC, $3.82\times$ BW stomp dynamics, vitality |
| Culture & Ontology | references/krump-culture-ontology.md | History, founders, fam hierarchy, styles, music, session |
| Epistemic Integrity | references/evidence-integrity-audit.md | Zero bio coherence, 0 QPU shots disclosure, $3,310\times$ floor |
Explore live quantum gesture classification, multi-scale scientist scaling (4 to 10 qubits), the in-browser Guppy Playpond, and the interactive 3D Knowledge Graph:
https://huggingface.co/spaces/socialprescribing/quantumkrumphttps://huggingface.co/socialprescribing/qkmlm-4qubit-vqchttps://play.guppylang.org/The skill embeds a 74-node, 114-edge, 10-domain Universal Knowledge Graph. Query nodes, domains, or shortest paths directly via CLI:
# Print overall graph topology, domain counts, and metadata
python experiments/query_quantum_krump_kg.py stats
# Search concepts, gates, operators, or foundations
python experiments/query_quantum_krump_kg.py search "stomp"
# Inspect a specific node and its incoming/outgoing edges
python experiments/query_quantum_krump_kg.py node node_openclaw_skill
# Find shortest path between concepts across domains
python experiments/query_quantum_krump_kg.py path node_krump_stomp node_hw_helios
# Filter by domain (e.g., category_theory, quantum_hardware, epistemic_governance)
python experiments/query_quantum_krump_kg.py domain quantum_hardware
The skill is registered on ClawHub as https://clawhub.ai/arunnadarasa/skills/quantumkrump.
# Install to any OpenClaw environment
clawhub install quantumkrump
# Publish updates from skill directory
clawhub publish ./skills/quantumkrump --slug quantumkrump --name "Quantum Krump" --version 1.0.0 --changelog "Add Hugging Face Space, 10Q Playpond, and Knowledge Graph CLI integration"