Search

PythonReactSEOPDF

asapMaki AI Skills

GitHub ↗

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

Author statistics

Indexed skills

6

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

gastrohem-media-processor

asapMaki

Automatically process unprocessed audio and image files in Gastrohem daily WhatsApp folders. This skill should be used when the user asks to transcribe audio files, perform OCR on images, or process media in da...

GitHub

sedmicni-summary

asapMaki

Create weekly summaries by aggregating daily summaries for Gastrohem WhatsApp conversations. This skill should be used when the user asks to generate weekly summaries, see what happened during the week, or prep...

GitHub

chat-integrator

asapMaki

Automatically integrates processed media (audio transcriptions and image summaries) into chat.md files at the correct timestamp position. Use this when you want to merge processed .json audio files and .md imag...

GitHub

dnevni-summary

asapMaki

Creates STRUCTURED summary.md in each daily folder. Analyzes chat conversations and generates actionable summaries with "Što je uradio" and "Što bi trebao da uradi" sections per person. Use for daily reports an...

GitHub

weekly-structure

asapMaki

Automatically create weekly folder structures for Gastrohem WhatsApp conversations. This skill should be used when the user asks to create weekly folders, set up a new week, or prepare folder structure for What...

GitHub

media-workflow

asapMaki

Complete end-to-end WhatsApp media processing workflow. Processes audio/images AND integrates them into chat.md in a single step. Use when you want to do the complete daily media processing (transcribe + OCR +...

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.