Agent skill · Backend & API

be-cost-monitoring

Monitor and analyze backend GPU costs for LTX API and LTX Studio. Use when analyzing cost trends, detecting anomalies, breaking down costs by endpoint/model/org/process, monitoring utilization, or investigating cost efficiency drift.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill be-cost --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Requires: - BigQuery access (ltx-dwh-prod-processed) - bq CLI or BigQuery console
Path: skills/analysis/be-cost/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Backend Cost Monitoring ## When to use - "Monitor GPU costs" - "Analyze cost trends (daily/weekly/monthly)" - "Detect cost anomalies or spikes" - "Break down API costs by endpoint/model/org" - "Break down Studio costs by process/workspace" - "Compare API vs Studio cost distribution" - "Investigate cost-per-request efficiency drift" - "Monitor GPU utilization and idle costs" - "Alert on cost budget breaches" - "Day-over-day or week-over-week cost comparisons" ## Steps ### 1. Gather Requirements Ask the user: - **What to monitor**: Total costs, cost by product/feature, cost efficiency, utilization, anomalies - **Scope**: LTX API, LTX Studio, or both? Specific endpoint/org/process? - **Time window**: Daily, weekly, monthly? How far back? - **Analysis type**: Trends, comparisons (DoD/WoW), anomaly detection, breakdowns - **Alert threshold** (if setting up alerts): Absolute ($X/day) or relative (spike > X% vs baseline) ### 2. Read Shared Knowledge Before writing SQL: - **`shared/product-context.md`** — LTX products and business context - **`shared/bq-schema.md`** — GPU cost table schema (lines 418-615) - **`shared/metric-standards.md`** — GPU cost metric patterns (section 13) - **`sha

What's inside
Steps it walks through
  1. When to use
  2. Steps
  3. 1. Gather Requirements
  4. 2. Read Shared Knowledge
  5. 3. Run Query Templates
  6. 4. Execute Query
  7. 5. Analyze Results
  8. 6. Present Findings
  9. 7. Set Up Alert (if requested)
  10. Schema Reference
  11. Reference Files
  12. Rules
  13. Query Best Practices
  14. Cost Calculation
Ships with 1 file
  • metadata.json
Commands it runs
bq --project_id=ltx-dwh-explore query --use_legacy_sql=false --format=pretty "
More from claude-skill-registry
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About this skill
What does the be-cost-monitoring skill do?

Monitor and analyze backend GPU costs for LTX API and LTX Studio. Use when analyzing cost trends, detecting anomalies, breaking down costs by endpoint/model/org/process, monitoring utilization, or investigating cost efficiency drift.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill be-cost --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going