probe-discovery
Find Mozilla telemetry probes and Glean metrics. Use when user asks about: Firefox metrics, Glean probes, telemetry data, accessibility probes, search metrics, or any Mozilla product instrumentation.
What this skill does
# Mozilla Probe Discovery For metric/probe discovery and naming conventions, see [metrics.md](../../knowledge/metrics.md). For data platform architecture, see [architecture.md](../../knowledge/architecture.md). For external sources (Metric Hub, Confluence, app discovery), see [external-sources.md](../../knowledge/external-sources.md). ## Workflow 1. **Clarify the product** — ask which Firefox/Mozilla product if not specified 2. **Search using Glean Dictionary MCP** (preferred): - `mcp__plugin_mozdata_glean-dictionary__search_metrics` with app_name (snake_case), query, type, include_expired - `mcp__plugin_mozdata_glean-dictionary__get_metric` for full metric definitions - `mcp__plugin_mozdata_glean-dictionary__get_app` for app overview (metrics count, pings, tags) - `mcp__plugin_mozdata_glean-dictionary__get_ping` for ping details and contained metrics - `mcp__plugin_mozdata_glean-dictionary__list_apps` to discover available apps 3. **Fallback: ProbeInfo API** — only use WebFetch to ProbeInfo API when data is not available via Glean Dictionary MCP. Use kebab-case for product name in URL (e.g., `firefox-desktop`). 4. **Provide to user**: - Metric name, type, description, and which pings contain it - Glean Dictionary link for visual exploration - BigQuery table and column path - Example query if requested
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