Agent-Skills.md

Agent Skills: Mozilla Probe Discovery

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UncategorizedID: akkomar/mozdata-claude-plugin/probe-discovery

Install this agent skill to your local

pnpm dlx add-skill https://github.com/akkomar/mozdata-claude-plugin/tree/HEAD/skills/probe-discovery

Skill Files

Browse the full folder contents for probe-discovery.

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skills/probe-discovery/SKILL.md

Skill Metadata

Name
probe-discovery
Description
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Mozilla Probe Discovery

For metric/probe discovery and naming conventions, see metrics.md. For data platform architecture, see architecture.md. For external sources (Metric Hub, Confluence, app discovery), see 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