Anibon Timestamper (Local P100 Edition)

Overview

Local processing pipeline for generating YouTube timestamps and summaries from long livestreams via Dynamic Recursive Rolling Summary state-machines (--mode recursive) or group batching (--mode group), multi-modal context fusion, automatic tag normalization, and two-pass YouTube comment formatting.

When to Use

• When processing livestreams locally on a single GPU (e.g. NVIDIA Tesla P100 16GB, Apple Silicon Metal, LM Studio, Ollama) without incurring cloud API costs.
• For Cloud / Frontier Models: If the user has cloud API access and wants high-concurrency subagent orchestration (Claude 3.5 Sonnet, Gemini 2.0 Pro), use anibon-timestamper instead.

Companion Skills & Required Sub-Skills

• anibon-world-identity (MANDATORY): Must be loaded whenever the stream covers gaming, anime, Pokémon, Tokusatsu, or pop-culture topics. The agent must verify character names, game titles, and terms against local references (references/INDEX.md, atlas_fgo.db, pokemon.db, garbled_replacements.json) before finalizing timestamps.
• whisper-corruption-recovery: Automatically invoked if Whisper transcription contains repetition loops or silence stutter.
• anibon-local-transcription: Used when YouTube has no subtitles or auto-captions to extract 16kHz audio and run local GPU whisper.cpp.

Pipeline Architecture