ACGN-character.skill

To turn fictional character transcripts into AI personas, this Skill uses OCR and prompt-driven analysis to extract structured Story and Persona data, generating deployable character-skills for interactive role-play.

Yes, you can extract character data from video transcripts using Claude Code. The Skill operates as a generator inside Claude Code, processing video transcripts and documents to output structured character personas.

The best way to create an AI role-play character from a story document is to ingest the source material to generate character foundations, which the system transforms into a root Skill file and deployable per-character SKILLs.

Yes, this character generation Skill supports incremental updates. You can provide new materials and corrections to refine the generated Story and Persona data, allowing the distilled character to evolve over time.

You validate generated character-skills after OCR extraction through the system's built-in validation mechanism. The generator coordinates extraction, prompt-driven analysis, and SKILL generation, ensuring the output characters/{slug} files are consistent and deployable.

To run OCR ingestion for ACGN character generation, you need dependencies like paddleocr, easyocr, rapidocr-onnxruntime, and opencv-python. These libraries enable the system to extract text from long-form source materials.