microsoft/Power-CAT-Copilot-Studio-Kit
Nov 2025 – Mar 2026
3 Months active
Languages Used
MarkdownN/ANoneUnknown
Technical Skills
API integrationdata modelingdocumentationKPI developmentNonedata analysis
MohamedShuaibPowerCat
PROFILE
Mohamedshuaibpowercat
Worked on the microsoft/Power-CAT-Copilot-Studio-Kit repository to enhance agent monitoring, analytics, and repository hygiene over a three-month period. Delivered features such as agent usage and configuration metrics tracking, agent inventory usage resources, and latest conversations KPI tracking, focusing on improving observability, billing accuracy, and analytics coverage. Applied skills in API integration, data modeling, and artifact cleanup, evolving the backend schema and instrumentation for better data-driven insights. Maintained repository health by removing outdated artifacts and managing release resources, supporting faster deployments and onboarding. Used Markdown for documentation and demonstrated disciplined repository management and release engineering practices throughout the project.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
5
Lines of code
40
Activity Months3
Your Network
16 peopleSame Organization
@powercattools.onmicrosoft.com3
Shared Repositories
13
PBatMember
Purnananda BeheraMember
Purnananda BeheraMember
Purnananda BeheraMember
Purnananda BeheraMember
Purnananda BeheraMember
Rajeev PentyalaMember
Ramakrishnan RamanMember
Ravikiran PatilMember
Work History
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for microsoft/Power-CAT-Copilot-Studio-Kit: Focused on improving repository hygiene and delivering the latest Agent Inventory Usage Solution. Cleaned up outdated artifacts to reduce clutter and prevent confusion. Released the latest Agent Inventory Usage Solution version to enhance inventory management capabilities. No major bugs fixed this month; efforts were dedicated to artifact governance, versioning, and release readiness, enabling faster onboarding and more reliable deployments.
3 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for microsoft/Power-CAT-Copilot-Studio-Kit: Focused on improving repository hygiene and delivering the latest Agent Inventory Usage Solution. Cleaned up outdated artifacts to reduce clutter and prevent confusion. Released the latest Agent Inventory Usage Solution version to enhance inventory management capabilities. No major bugs fixed this month; efforts were dedicated to artifact governance, versioning, and release readiness, enabling faster onboarding and more reliable deployments.
March 2026
December 2025
8 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for microsoft/Power-CAT-Copilot-Studio-Kit. Focused on release hygiene, resource management, and analytics instrumentation to enable faster, more reliable deployments and deeper insights into agent data and conversations. Key features delivered: - Agent Inventory Usage Resources: Added latest agent inventory usage resources to support updated management of agent data. - Latest Conversations KPI Tracking: Introduced a KPI to track the latest conversations, expanding analytics capabilities. Major bugs fixed: - Release Resources Cleanup: Removed outdated artifacts and zip files related to Agent Inventory Usage and Conversations KPIs to reduce release artifact bloat and deployment risk. This included cleanup across multiple artifact versions. Overall impact and accomplishments: - Improved release hygiene and storage efficiency by eliminating stale artifacts, enabling faster build and release cycles. - Expanded analytics coverage with a new KPI, enabling better visibility into user conversations and agent data. - Demonstrated strong release engineering practices, data instrumentation, and artifact management in a collaborative, multi-commit effort. Technologies/skills demonstrated: - Release engineering and artifact lifecycle management - Resource file management and integration - KPI instrumentation and analytics enablement - Git-based collaboration and commit hygiene - Data-driven approach to analytics and monitoring
December 2025
8 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for microsoft/Power-CAT-Copilot-Studio-Kit. Focused on release hygiene, resource management, and analytics instrumentation to enable faster, more reliable deployments and deeper insights into agent data and conversations. Key features delivered: - Agent Inventory Usage Resources: Added latest agent inventory usage resources to support updated management of agent data. - Latest Conversations KPI Tracking: Introduced a KPI to track the latest conversations, expanding analytics capabilities. Major bugs fixed: - Release Resources Cleanup: Removed outdated artifacts and zip files related to Agent Inventory Usage and Conversations KPIs to reduce release artifact bloat and deployment risk. This included cleanup across multiple artifact versions. Overall impact and accomplishments: - Improved release hygiene and storage efficiency by eliminating stale artifacts, enabling faster build and release cycles. - Expanded analytics coverage with a new KPI, enabling better visibility into user conversations and agent data. - Demonstrated strong release engineering practices, data instrumentation, and artifact management in a collaborative, multi-commit effort. Technologies/skills demonstrated: - Release engineering and artifact lifecycle management - Resource file management and integration - KPI instrumentation and analytics enablement - Git-based collaboration and commit hygiene - Data-driven approach to analytics and monitoring
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — concise monthly summary focused on business value and technical achievements for microsoft/Power-CAT-Copilot-Studio-Kit. Key features delivered: - Agent Usage and Configuration Metrics Tracking: introduced new fields to track agent usage, configuration metrics, billing information, and last usage metrics to enhance monitoring and billing capabilities of the agent system. Major bugs fixed: - None reported this month for this repo in the provided data. Overall impact and accomplishments: - Improved observability and monetization readiness for the agent system. - Provided foundational data for dashboards and data-driven optimization of resource usage and billing. - Streamlined metrics collection with minimal footprint by extending the existing schema in a single commit. Technologies/skills demonstrated: - Backend data modeling and database schema evolution (new columns for usage and billing). - Metrics instrumentation and observability enhancements. - Code review discipline and traceability via commit referencing. This aligns with business value by enabling more accurate usage tracking, billing accuracy, and better operational insights for the Power-CAT-Copilot-Studio-Kit project.
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — concise monthly summary focused on business value and technical achievements for microsoft/Power-CAT-Copilot-Studio-Kit. Key features delivered: - Agent Usage and Configuration Metrics Tracking: introduced new fields to track agent usage, configuration metrics, billing information, and last usage metrics to enhance monitoring and billing capabilities of the agent system. Major bugs fixed: - None reported this month for this repo in the provided data. Overall impact and accomplishments: - Improved observability and monetization readiness for the agent system. - Provided foundational data for dashboards and data-driven optimization of resource usage and billing. - Streamlined metrics collection with minimal footprint by extending the existing schema in a single commit. Technologies/skills demonstrated: - Backend data modeling and database schema evolution (new columns for usage and billing). - Metrics instrumentation and observability enhancements. - Code review discipline and traceability via commit referencing. This aligns with business value by enabling more accurate usage tracking, billing accuracy, and better operational insights for the Power-CAT-Copilot-Studio-Kit project.
November 2025
Activity
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Quality Metrics
Correctness96.6%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage28.4%
Skills & Technologies
Programming Languages
MarkdownN/ANoneUnknown
Technical Skills
API integrationKPI developmentNoneUnknownartifact cleanupdata analysisdata modelingdocumentationrepository management
Repositories Contributed To
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