bleakbelladonnals

8 mods across 2 repositories, 18 stars between them.

elec-sheep-longform

01

bleakbelladonnals/elec-sheep-longform

Skill Claude CodeCodex

Create, revise, and quality-check Elec Sheep branded Chinese educational carousels and vertical long-form infographics while preserving the exact robot-sheep IP, warm hand-drawn blue-orange visual system, editable SVG typography, and batch rendering workflow. Use when the user mentions 电子羊, Elec Sheep, the established…

9 23d ago A 113 tokens

speech-to-text-apis

03

bleakbelladonnals/asr-transcription-skills

Skill Claude CodeCodex

A set of scripts and instructions for turning recordings into text with transcription services from Google Gemini, Alibaba Bailian, or Volcengine Ark. It also supports comparing the results from these services.

9 15d ago A 90 tokens original MIT

asr-transcription

04

bleakbelladonnals/asr-transcription-skills

Skill Claude CodeCodex

A guide for testing speech-to-text systems, which turn recordings into written words, and for building batch transcription workflows. It covers comparing recording hardware, transcription services, and AI-generated meeting notes.

9 15d ago A 124 tokens original MIT

bleakbelladonnals/asr-transcription-skills

Skill Claude CodeCodex

A workflow for turning course or meeting transcripts in SRT files into structured study notes. SRT is a subtitle file format with timed text; the workflow cleans transcription errors and combines the transcript with existing notes.

9 15d ago A 119 tokens original MIT

asr-benchmarking

07

bleakbelladonnals/asr-transcription-skills

Skill Claude CodeCodex

A toolkit for comparing automatic speech recognition, or ASR, services and connecting to their APIs. ASR services convert audio into text, while the toolkit also checks audio quality, transcripts, and AI meeting summaries.

9 15d ago A 120 tokens original MIT

bleakbelladonnals/asr-transcription-skills

Skill Claude CodeCodex

A method for evaluating speech-to-text products, meaning services that turn recordings into written text. It compares recording hardware and cloud transcription engines using controlled tests, audio measurements, and text checks.

9 15d ago A 154 tokens original MIT