An immersive prose rendering engine that transforms outline beats into visceral, character-anchored physical experiences.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vn-fullwrite
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install vn-fullwrite using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is vn-fullwrite (Flesh Renderer)?
vn-fullwrite is a specialized prose rendering engine designed for the "viết full" task, operating as a core component within the Openclaw Skills ecosystem. Rather than relying on distant, omniscient narration, this agent enforces a strict inside-out perspective that anchors every scene in the immediate physiological and sensory experience of a specific character.
Working in tandem with other modular agents like vn-lorefilter for world details and vn-lexicon for non-repetitive vocabulary rotation, vn-fullwrite processes highly structured outline data. It translates simple narrative beats into deep, raw prose filled with bodily sensations, micro-movements, and fragmented internal thoughts, setting a new benchmark for automated high-fidelity creative writing.
vn-fullwrite (Flesh Renderer) Use Cases
- Generating immersive, raw, and visceral prose from structured chapter outlines without relying on omniscient or summarizing narrators.
- Enforcing strict, sensory-first point-of-view (POV) consistency in automated multi-character storytelling.
- Dynamically rotating anatomical and sensory vocabulary to avoid narrative repetition in intense or explicit scenes.
- Integrating memory fragments and layered psychological states directly into real-time character action blocks.
How vn-fullwrite (Flesh Renderer) Works
- Input Analysis: The engine parses structured outline beats derived from vn-outline as part of the unified creative workflow.
- POV Anchoring: When transitioning between characters, vn-fullwrite applies strict rules from vn-povs, starting paragraphs with physical anchoring (Touch > Sound > Smell > Sight).
- Sensory & Vocabulary Filtering: The engine pre-selects and rotates dynamic sensory adjectives and nouns from the vn-lexicon database, ensuring unique word choices.
- Context Layering: Environmental nuances are handed off to vn-lorefilter, while vn-fullwrite injects raw physical reactions, phonetic soundscapes, and italicized memory flashbacks.
- Quality Lock Verification: Before finalizing the output, a comprehensive quality checklist runs to strip out any instances of omniscient narrative phrases like "she felt" or "he thought".
vn-fullwrite (Flesh Renderer) Setup
To integrate this rendering engine within your local ecosystem of Openclaw Skills, configure your AI agent directory to include the vn-fullwrite schema. Setup requires referencing its partner files (vn-lexicon, vn-lorefilter, and vn-povs).
# Install the creative writing suite via package manager
openclaw install vn-fullwrite
# Configure paths to dependencies in your agent configuration
openclaw configure --skill vn-fullwrite --lexicon ./data/vn-lexicon --lorefilter ./data/vn-lorefilter
Ensure that your prompt templates define the strict multi-POV rule structures to guide the LLM's raw generation profile.
vn-fullwrite (Flesh Renderer) Data Schema & Taxonomy
The vn-fullwrite agent organizes its data pipeline around three core metadata files and a strict narrative taxonomy:
| Component | Source / File Reference | Purpose |
|---|---|---|
| Outline Beats | vn-outline |
The primary input representing logical plot points to render |
| Sensory Lexicon | vn-lexicon |
Sectioned vocabulary, phonetic sounds, and anatomical terminology rotation |
| Lore & Environment | vn-lorefilter |
NPC actions, setting details, and world consistency parameters |
| POV Rules | vn-povs |
Master definitions for sensory priority layers and memory triggers |
Narrative Structure Output Taxonomy
- Sensory Priority Ordering: Touch (thermal/tactile/pain) -> Sound (onomatopoeia) -> Smell (olfactory cues) -> Sight (immediate line of sight).
- Internal Monologue Format: Denoted via italics or backticks without explicit conversational tags to convey fragmented, chaotic thoughts.
vn-fullwrite (Flesh Renderer) Advanced Features
- Dynamic Vocabulary Rotation: Implements strict scene-level tracking to ensure no anatomical or sensory words are repeated twice in a single render pass.
- Inside-Out Transition Protocol: Automates clean POV handoffs by forcing sensory hooks at paragraph boundaries.
- Memory-Triggered Flashback Injection: Naturally weaves psychological layers and past sensory trauma into current physical actions.
- Automated Quality Lock Verification: Employs an internal checklist to actively strip out meta-narration, analytical hand-waving, and exposition dumps.
SKILL.md
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