TabbyML/pochi
Jan 2026 – Jan 2026
1 Month active
Languages Used
MarkdownTypeScript
Technical Skills
CLI developmentGitVSCode extension developmentdocumentationfull stack developmentparallel development
Senn
PROFILE
Senn
During January 2026, Ziqch developed consolidated agent workflows and skills for the TabbyML/pochi repository, focusing on both CLI and VSCode environments. They introduced the UseSkillTool, enabling execution of agent skills and supporting parallel agent workflows, which improved automation and scalability for developers. Ziqch authored comprehensive documentation in Markdown to guide users through skill usage and parallel task orchestration. Their work involved TypeScript for feature implementation and addressed quality improvements in formatting, prompt handling, and UI integration. This effort demonstrated depth in full stack and extension development, resulting in a robust foundation for scalable, parallel agent operations within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
1,745
Activity Months1
Your Network
16 peopleWork History
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for TabbyML/pochi: Delivered consolidated agent workflows and skills across CLI and VSCode, introduced UseSkillTool to execute skills, and published comprehensive documentation to enable parallel agent workflows. Minor quality improvements addressed formatting and prompts during implementation. This work enhances automation capabilities and developer experience, enabling scalable skill execution and parallel task orchestration.
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for TabbyML/pochi: Delivered consolidated agent workflows and skills across CLI and VSCode, introduced UseSkillTool to execute skills, and published comprehensive documentation to enable parallel agent workflows. Minor quality improvements addressed formatting and prompts during implementation. This work enhances automation capabilities and developer experience, enabling scalable skill execution and parallel task orchestration.
January 2026
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage53.4%
Skills & Technologies
Programming Languages
MarkdownTypeScript
Technical Skills
CLI developmentGitVSCode extension developmentdocumentationfull stack developmentparallel developmentproject managementtechnical writing
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