Automate the CVM pipeline with reproducible scripts for scoring and KPI summaries.
npx skills add https://github.com/KiselevAleksey/cvm --skill cvm-operator
Please help me install this Agent Skill. Skill: cvm-operator Source: https://github.com/KiselevAleksey/cvm/tree/main/skills/cvm-operator Command: npx skills add https://github.com/KiselevAleksey/cvm --skill cvm-operator
Operates the CVM pipeline with deterministic scripts to avoid ad-hoc command sequences and ensure reproducible results across runs.
Run the end-to-end CVM workflow using the provided run_cvm_flow.sh script in scripts, selecting real or demo mode as needed.
High-intent search queries and answers about installing and using this skill.
You can automate a CVM pipeline end-to-end by running deterministic scripts that handle data preparation, churn and cross-sell scoring, and artifact export. Use the provided shell script to execute the entire workflow reproducibly in real or demo mode.
Generating reproducible top-N customer lists requires standardized scripts that onboard CSV drops and run scoring models. This approach ensures auditable runs with consistent outputs and KPI summaries across single-use-case or all-use-cases executions.
Yes, pandas and duckdb are required dependencies for running CVM scoring workflows. These frameworks support the underlying data processing and orchestration logic executed by the deterministic scripts located in the scripts directory.
Yes, you can run customer valuation models in demo mode before processing real data. The orchestration scripts support both real and demo modes, allowing you to test top-N customer exports and KPI summaries safely.
The CVM orchestrator ensures reproducible data-to-decision workflows by using deterministic scripts and adhering to a strict output contract. This standardizes run artifacts and KPI summaries, avoiding ad-hoc command sequences across multiple runs.
From an automated reactivation scoring run, you should expect top-N actionable customer lists, run artifacts, and KPI summaries. All outputs adhere to the standardized contract defined in the output-contract reference document.
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