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hamelsmu AI Skills

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Browse published AI skills maintained by hamelsmu. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

960

Repository forks

98

Average repository stars per indexed skill

137

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

build-review-interface

hamelsmu

Build a custom browser-based annotation interface tailored to your data for reviewing LLM traces and collecting structured feedback. Use when you need to build an annotation tool, review traces, or collect huma...

GitHub

youtube-chapters

hamelsmu

Generate chapter summaries with timestamps for YouTube videos using AI. Use when asked to create chapters, summarize video sections, or generate video outline.

GitHub

kit

hamelsmu

Fetch Kit (ConvertKit) newsletter broadcasts for writing context. Use when asked to download newsletters, get past email content for style reference, or fetch broadcasts for analysis.

GitHub

zoom

hamelsmu

Download Zoom meeting transcripts. Use when asked to get transcripts from Zoom recordings, download Zoom meeting notes, or fetch Zoom call transcripts.

GitHub

annotate-talk

hamelsmu

Create annotated blog posts from technical talks with slides. Use when asked to convert a video presentation to a blog post, create written content from a talk, or annotate slides with transcript.

GitHub

gem

hamelsmu

Multimodal AI processing using Google Gemini. Use for analyzing PDFs, images, videos, YouTube links, and other large documents. Ideal when you need to extract information from files that require vision or multi...

GitHub

youtube-transcribe

hamelsmu

Download YouTube video transcripts with timestamps. Use when asked to transcribe a YouTube video, get transcript, or extract text from a video URL.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.