ⵉⵙⵙⵓⵔⴰⵔⵏ

Internal Customization Adoption Dashboard for Copilot Metrics

ⵜⴰⵎⵓⵙⵙⵓⵜ

A dashboard that ingests Copilot usage metrics API data, extracts named custom skills, agents, and MCP servers, and visualizes usage trends over time. It highli

ⵜⴰⴼⵓⵔⴰⵙ · ⵢⴰⵏ ⵢⴰⴹⵏ

A web-based dashboard prototype using real Copilot usage metrics API data from one consenting organization. It will display the top 25 named custom skills/agents/MCP servers per reporting period, with trend lines and simple filters. The pilot will run for 4 weeks with 1-2 admin users and 3-5 teams, using only data from the organization's own Copilot instance. No ext Unvalidated hypothesis; full brief: /blog/custom-skills-agents-and-mcp-servers-in-usage-me-2026-10-23 Source: ⴰⵙⴽⵓⴷⵓ

ⴰⵙⵉⵜ ⴰⵏⴰⵎⵎⴰⵙ
ⴼⴼⵓⵔ

ⴰⵙⵙⵓⵎ

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GitHub Copilot usage metrics API now displays names of custom skills, agents, and MCP servers, helping organizations track internal tool adoption and usage trends.

ⵎⴰⵢ ⵉⵜⵜⵓⵙⵙⵓⵎⵏ

A web-based dashboard prototype using real Copilot usage metrics API data from one consenting organization. It will display the top 25 named custom skills/agents/MCP servers per reporting period, with trend lines and simple filters. The pilot will run for 4 weeks with 1-2 admin users and 3-5 teams, using only data from the organization's own Copilot instance. No ext Unvalidated hypothesis; full brief: /blog/custom-skills-agents-and-mcp-servers-in-usage-me-2026-10-23 Source: ⴰⵙⴽⵓⴷⵓ

ⵎⴰⵏⴰ ⵉⴳⴰ ⵉ

Enterprise and organization administrators, DevOps teams, and engineering managers seeking to monitor and improve adoption of custom Copilot skills, agents, and MCP servers within their organizations.

ⵎⴰⵖⵔ ⵉⵙⵓⵍⵍⵉⵏ

Test if surfacing named customizations and usage trends in a dedicated dashboard leads to more targeted enablement actions or improved adoption rates, compared to generic 'other/custom' groupings. Proposed validation: Proposed pilot target: At least 80% of named custom skills/agents/MCP servers in the top 25 are correctly displayed in the dashboard for each reporting period, as verified by admin review. Baseline: manual reporting or previous generic grouping. Duration: 4 weeks. Succe

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    ⴰⵡⵉⵍ ⵓⵔ ⴷⴰ ⴰⵙⵓⵍⵍⵉ

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    ⵜⴰⴳⵔⴰⵡⵜ

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      ⵉⵙⵏⴼⵍⵏ

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      ⴰⵙⵎⵔⵙ

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