Internal Customization Adoption Dashboard for Copilot Metrics

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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

Idea · Other

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: Link

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Written by the team. Not an investment offer and not advice.

Problem

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

What they are building

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: Link

Who it is for

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.

Why it matters

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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