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Harryoung
GitHub creator profile

Harryoung

Repository-level view of 6 collected skills across 1 GitHub repositories, including approximate occupation coverage.

skills collected
6
repositories
1
occupation fields
2
updated
2026-01-17
occupation focus
Major fields detected across this creator.
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Repositories and representative skills

#001
efka
6 skills10119updated 2026-01-17
100% of creator
batch-notification
Representantes de atendimento ao cliente

Send IM messages to users in batch. Used for notifying specific user groups, sending after table filtering, all-staff notifications, etc. Use this Skill when administrators request batch notifications, mass messaging, or notifications after table filtering. Trigger words: notify/send/mass + users/batch/table.

2026-01-17
document-conversion
Desenvolvedores web

Convert DOC/DOCX/PDF/PPT/PPTX documents to Markdown format. Automatically detect PDF type (electronic/scanned), extract images to separate directory. Use this Skill when administrator onboards non-Markdown documents. Trigger condition: Onboard DOC/DOCX/PDF/PPT/PPTX format files.

2026-01-17
expert-routing
Supervisores de primeira linha de trabalhadores de escritório e suporte administrativo

Domain expert routing. When the knowledge base cannot answer user questions, find and notify the corresponding expert based on the question domain. Only available in IM mode. Trigger condition: No results in 6-stage retrieval.

2026-01-17
large-file-toc
Assistentes estatísticos

Generate table of contents overview for large files. When onboarded Markdown file exceeds threshold (default 30KB), extract heading structure to create navigation file. Trigger condition: Markdown file size >= 30KB.

2026-01-17
satisfaction-feedback
Representantes de atendimento ao cliente

Handle user satisfaction feedback. When users respond with "satisfied"/"unsatisfied", update FAQ usage count or record BADCASE. Trigger words: satisfied/unsatisfied/resolved/not resolved/thanks/满意/不满意/解决了/没解决/谢谢.

2026-01-17
excel-parser
Cientistas de dados

Smart Excel/CSV file parsing with intelligent routing based on file complexity analysis. Analyzes file structure (merged cells, row count, table layout) using lightweight metadata scanning, then recommends optimal processing strategy - either high-speed Pandas mode for standard tables or semantic HTML mode for complex reports. Use when processing Excel/CSV files with unknown or varying structure where optimization between speed and accuracy is needed.

2026-01-06
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