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Overview Usage Analytics

A new spec, Overview Usage Analytics, defines a contract for tracking skill usage in a SQLite invocation ledger alongside existing MCP server analytics, requiring the home overview card to render rankings from analytics data rather than catalog order. The spec mandates migration tests, regression coverage for task-driven skill usage, analytics query tests, and dashboard validation to ensure the overview card reflects analytics-driven ranking.

read1 min views1 publishedJul 22, 2026
Overview Usage Analytics
Image: Signetai (auto-discovered)

Spec metadata:

- ID:
`overview-usage-analytics`

- Status:

approved

- Hard depends on:
`mcp-cli-bridge-and-usage-analytics`

,`procedural-memory-plan`

- Registry:

docs/specs/INDEX.md

Contract #

Usage ledger contract

  • MCP server usage remains sourced from mcp_invocations

. - Skill usage gains a matching invocation ledger in SQLite.

  • Skill usage writes must also update skill_meta.use_count

andskill_meta.last_used_at

. - The implementation must avoid one-off home-card counters or duplicate tracking paths.

Analytics read contract

  • MCP analytics stay queryable through the existing summary route.
  • Skill analytics expose a parallel summary route with the same core shape: total calls, success rate, top items, and latency percentiles.
  • Both routes support time-window filtering so the overview can render a bounded “most used” view.

Overview rendering contract

  • The home overview card must render from analytics ranking, not catalog order.
  • The card must surface both top skills and top MCP servers in one coherent overview module.
  • Presentation metadata is enriched from installed/catalog sources when available, but historical usage rows must still render when metadata is missing.

Validation requirements #

  • Migration tests for the skill invocation ledger.
  • Regression coverage that task-driven skill usage records invocation rows and updates procedural-memory usage fields.
  • Analytics query tests for skill ranking, latency, and time filtering.
  • Dashboard validation that the overview card reflects analytics-driven ranking instead of catalog popularity.
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