{
  "name": "ai-usage-report",
  "version": "0.1.0",
  "description": "Generate a per-user or team-level report on how AI tools are being used — volume, breadth, and effectiveness signals (e.g. whether AI outputs landed in shipped artifacts vs were generated and discarded). Consumes usage-event logs exported from an MCP server or other telemetry source. Use when a manager or team lead needs to understand AI adoption beyond raw counts — including spotting \"AI theater\" where people invoke AI to claim usage but don't act on the outputs.",
  "entrypoint": "SKILL.md",
  "deps": { "npm": [], "pip": [] },
  "env": { "required": [], "optional": [] },
  "related": [],
  "tags": ["ai-usage", "reporting", "telemetry", "adoption", "observability", "manager-tools"],
  "model": { "tier": "standard", "rationale": "Tabulates telemetry; the 'AI theater' effectiveness call needs some judgment." }
}