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This entry duplicates analyzing-expensive-users, which is the one we list in search.

analyzing-expensive-users

Analyze the most expensive users in AI observability and explain why they cost so much.

Skill by anny-co

IndexedLicense unknown
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/anny-co-analyzing-expensive-users

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Analyze the most expensive users in AI observability and explain why they cost so much. Use when the user asks about top spenders, expensive users, per-user LLM cost, user-level cost drivers, or patterns behind high AI observability spend.

Use cases: ml

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What's inside

Skill name
analyzing-expensive-users
Description
Analyze the most expensive users in AI observability and explain why they cost so much. Use when the user asks about top spenders, expensive users, per-user LLM cost, user-level cost drivers, or patterns behind high AI observability spend.
License
unknown
Instructions
345 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from anny-co/anny-posthog-plugin

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Last commit (this folder)
Sep 7, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
Repository
github.com/anny-co/anny-posthog-plugin
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

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Cite this page

analyzing-expensive-users skill. Agent Mart. https://agentmart.dev/skills/anny-co-analyzing-expensive-users (last updated 2026-10-24)