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weiyangzen

GEB Aesthetics

by weiyangzen · GitHub ↗ · v0.1.0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install geb-aesthetics
Description
Generates and validates multi-layered, multi-modal creative narratives using recursive constraints inspired by Gödel, Escher, and Bach principles.
README (SKILL.md)

GEB Aesthetics Skill Specification

Multi-Modal Creative Intelligence System


1. Core Philosophy: The GEB Trinity

1.1 Gödel's Insight: The Limits of Systems

Incompleteness as Creative Freedom

Any formal system powerful enough to describe itself contains truths that cannot be proven within the system. For creative AI:

  • The Frame Problem: The best ideas often come from outside the current context
  • Meta-Creative Space: True innovation requires stepping outside the system
  • Productive Tension: Constraints that cannot be fully satisfied drive creative breakthroughs

Implementation: The system maintains awareness of its own limitations, using them as generative forces rather than bugs to fix.

1.2 Escher's Vision: Self-Reference in Form

Visual Paradox as Aesthetic Device

Escher's impossible constructions reveal that form can be content:

  • Meta-Narrative: Stories about storytelling
  • Nested Worlds: Realities within realities
  • Observer Effect: The act of creation changing the creator

Implementation: Five-layer Spec architecture where each layer reflects and contains the others.

1.3 Bach's Harmony: Constraint Breeds Complexity

The Fugue as Creative Model

Multiple independent voices weaving together under strict contrapuntal rules:

  • Voice Independence: Each modality (text/audio/visual) maintains its own logic
  • Harmonic Convergence: Cross-modal alignment at emotional peaks
  • Thematic Transformation: Core motifs appearing in varied forms across scales

Implementation: Cross-modal consistency engine ensuring independent voices harmonize.


2. Recursive Five-Layer Spec Architecture

2.1 Layer 1: Worldview (L1)

Time Scale: Generations/Eras
Core Question: "What kinds of existence are possible?"

Design Elements:

  • Cosmological Rules (physics, metaphysics)
  • Historical Timeline (key events, causality chains)
  • Cultural Symbol Systems (language, religion, art)
  • Spatial Geography (maps, climate, resources)
  • Power Structures (politics, economics, social classes)

Constraint Type: Rigid - Violations break internal consistency

Output: "Cosmic Constitution" - Immutable boundary conditions

2.2 Layer 2: Character (L2)

Time Scale: Lifetime/Years
Core Question: "Whose story? Why does it matter?"

Design Elements:

  • Psychological Dimension (core desires, deep fears, cognitive patterns)
  • Social Dimension (class position, relationship networks, group affiliations)
  • Narrative Dimension (arc type, functional role, symbolic meaning)

Constraint Type: Motivation-Action Consistency

Output: Character Bible + Relationship Graph

2.3 Layer 3: Narrative (L3)

Time Scale: Hours/Days
Core Question: "What happens? Why so?"

Design Elements:

  • Conflict System (internal, interpersonal, supra-personal)
  • Information Release Rhythm (when, through whom, how)
  • Structural Templates (three-act, hero's journey, circular, network)

Constraint Type: Theme-Event Alignment

Output: Detailed Outline + Plot Structure Map

2.4 Layer 4: Beat (L4)

Time Scale: Minutes
Core Question: "Emotion now? Rhythm fast or slow?"

Design Elements:

  • Emotional Curve (intensity/valence over time)
  • Scene Function Labels (advancement, turning point, revelation, emotional ascent, transition)
  • Rhythm Parameters (scene length, dialogue density, action ratio)

Constraint Type: Narrative Function Completion

Output: Scene List + Emotional Curve + Rhythm Parameters

2.5 Layer 5: Shot/Execution (L5)

Time Scale: Seconds/Frames
Core Question: "What does the audience see? Hear?"

Design Elements:

  • Spatial Blocking (character-camera relationships)
  • Temporal Design (shot duration, editing rhythm, speed changes)
  • Visual Grammar (shot scale, angle, movement)

Constraint Type: Technical Feasibility

Output: Storyboard + Shot List + Technical Specifications

2.6 Cross-Layer Dynamics

Top-Down: Higher layers constrain lower layers
Bottom-Up: Lower implementations enrich or revise higher understanding
Bidirectional Constraint: Changes at any level trigger consistency checks


3. Multi-Modal Consistency Engine

3.1 The "Emotion-Form" Mapping Table

Central validation mechanism ensuring cross-modal alignment:

Emotion Coordinate Text Expression Audio Expression Visual Expression
Hope in Despair Dark imagery → light metaphor Minor → major modulation Cold tones → warm point light
Controlled Panic Short sentences, technical terms Staccato rhythm, rising pitch Rapid cuts, shallow depth
Nostalgic Longing Archaic diction, sensory detail Slow tempo, reverb-heavy Desaturated colors, soft focus

3.2 Real-Time Consistency Scoring

Consistency Score = Σ(emotion_vector_distance) / n

- Score > 0.8: Aligned
- Score 0.5-0.8: Tension (intentional or error)
- Score \x3C 0.5: Misalignment alert

3.3 Harmonization Strategies

When misalignment detected:

  1. Dominant Modality: One modality leads, others adapt
  2. Counterpoint: Intentional tension for aesthetic effect
  3. Compromise: Find intermediate emotional position
  4. Revision: Return to higher layer for constraint adjustment

4. GEB-Inspired Form Constraints

4.1 Self-Referential Systems

Meta-Narrative Layer: Story about storytelling
Nested Structure: Stories within stories, dreams within dreams
Paradox Design: Contradictory propositions unified at higher level
Observer Effect: Audience participation changes meaning

4.2 Fractal Recursive Structures

Self-Similarity: Micro details mirror macro themes
Scale Invariance: Same generation rules apply at all layers
Infinite Detail: New information at every zoom level
Boundary Chaos: Order and randomness at the edge

4.3 Cross-Domain Isomorphisms

Music-Visual-Narrative Mappings:

  • Rhythm ↔ Editing pace
  • Harmony ↔ Color palette
  • Melody ↔ Camera movement
  • Tension-Resolution ↔ Plot structure

5. Novelty Quantification

5.1 The 70-20-10 Rule

Dimension Percentage Function Risk
Familiarity 70% Lower barrier, establish connection Boredom if too high
Surprise 20% Create memory, spark discussion Confusion if too high
Mystery 10% Invite participation, reward re-experience Alienation if too high

5.2 Controlled Innovation Strategies

  1. Core Premise Inversion: Change one foundational assumption, derive consequences
  2. Genre Hybridization: Deep structural fusion (not surface pastiche)
  3. Perspective Flip: Invert power/time/causality coordinates
  4. Medium Self-Reference: Expose creation process as content

6. Four-Phase Creative Workflow

Phase 1: Framework Generation

Intent CaptureReference DeconstructionConstraint Specification

Phase 2: Constraint Negotiation

Conflict DetectionPriority SortingTrade-off Visualization

Phase 3: Layered Construction

Top-Down Generation + Bottom-Up EmergenceBidirectional Validation

Phase 4: Integration Validation

Structure-Constraint-Content Triangular CheckMulti-Modal Consistency Audit


7. Usage

# Initialize project with GEB principles
geb-aesthetics init --project-name "cyberpunk_short" --medium film

# Generate recursive spec
cd cyberpunk_short
geb-aesthetics spec --layer L1 --prompt "Neon-lit megacity where memories are currency"

# Validate consistency
geb-aesthetics validate --cross-modal --strict

# Export to production formats
geb-aesthetics export --format finaldraft --format pdf

8. License

MIT © Weiyang (@weiyangzen)


"The eternal golden braid: human creativity and machine intelligence, weaving together."

Usage Guidance
This package appears to be a coherent creative-authoring skill and carries low obvious risk, but please consider these points before installing or running it: 1) Review the GitHub repo (package.json points to one) to confirm authorship and check for additional files (bin/, templates/) that were referenced but not included here. 2) Inspect the scripts (init.sh, generate.sh, export.sh, verify.sh) — they are currently harmless stubs, but always review any scripts before executing them. 3) The skill's package.json lists specific external models; running the skill may cause the agent to call those model endpoints (which could require credentials or network access). Ensure you’re comfortable with the agent using external models and with any billing/credential implications. 4) If you plan to run the scripts on a sensitive system, run them in an isolated directory or sandbox first. Overall: coherent and low-risk, but perform normal repository and script review hygiene before use.
Capability Analysis
Type: OpenClaw Skill Name: geb-aesthetics Version: 0.1.0 The OpenClaw skill 'geb-aesthetics' appears benign. The `SKILL.md` and `README.md` provide instructions for an AI agent to use the skill's commands, which are primarily for project initialization and placeholder operations. The `scripts/init.sh` creates project directories and a `README.md` file, which is a standard and expected behavior for an initialization script. Other scripts (`export.sh`, `generate.sh`, `verify.sh`) are currently placeholders with only `echo` statements. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts designed to subvert the agent's behavior beyond the skill's stated purpose.
Capability Assessment
Purpose & Capability
The name, README, SKILL.md, and scripts describe a multi-modal creative-spec tool and the declared package.json metadata (models/agents) aligns with a creative AI skill. Minor inconsistencies: package.json references a bin/ directory and templates/ that are not present in the file manifest, and the registry metadata shows 'source: unknown' even though package.json lists a GitHub repo — these look like packaging/metadata sloppiness rather than malicious intent.
Instruction Scope
SKILL.md is a high-level specification and runtime guidance for generating multi-layer creative artifacts; it does not instruct the agent to read host system files, secrets, network endpoints, or other skills' configurations. The included scripts are simple project scaffolding, generation, export, and verification stubs that only print messages and create project folders/files.
Install Mechanism
There is no install spec (instruction-only skill) and no downloads or extract steps. The shipped shell scripts are small, human-readable, and do not fetch remote code or execute obfuscated commands.
Credentials
The skill declares no required environment variables, no credentials, and the SKILL.md does not reference any secrets or external auth. The package.json does list preferred models (openai-proxy/gpt-5.3-codex, kimi-coding/k2p5), which may cause the agent to invoke external model endpoints when running the skill, but requesting model access is proportional to a creative AI skill and no credential variables are demanded.
Persistence & Privilege
always is false and model invocation is allowed (the platform default). The skill contains no code that modifies other skills or system-wide settings; its scripts create project directories and files within the working directory only.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install geb-aesthetics
  3. After installation, invoke the skill by name or use /geb-aesthetics
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
- Initial release introducing the GEB Aesthetics multi-modal creative intelligence system. - Documents the core philosophy inspired by Gödel, Escher, and Bach—covering creative constraints, self-reference, and cross-modal harmony. - Specifies a recursive five-layer architecture spanning worldview to shot-level execution, with detailed constraint types and outputs for each. - Describes the multi-modal consistency engine for aligning emotional expression across text, audio, and visuals. - Defines GEB-inspired formal constraints, including fractal recursion, isomorphisms between creative domains, and novelty quantification frameworks. - Provides a four-phase creative workflow and practical CLI usage instructions.
Metadata
Slug geb-aesthetics
Version 0.1.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is GEB Aesthetics?

Generates and validates multi-layered, multi-modal creative narratives using recursive constraints inspired by Gödel, Escher, and Bach principles. It is an AI Agent Skill for Claude Code / OpenClaw, with 944 downloads so far.

How do I install GEB Aesthetics?

Run "/install geb-aesthetics" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is GEB Aesthetics free?

Yes, GEB Aesthetics is completely free (open-source). You can download, install and use it at no cost.

Which platforms does GEB Aesthetics support?

GEB Aesthetics is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created GEB Aesthetics?

It is built and maintained by weiyangzen (@weiyangzen); the current version is v0.1.0.

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