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Metric Definition Catalog

把散落指标统一整理成口径、公式、归属、例外情况与常见误用。；use for metrics, catalog, analytics workflows；do not use for 编造指标来源, 替代 BI 平台配置.

openclaw4,189 starsMar 18, 2026

Occupation
Categories: Data Analysis

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Author: openclaw
stars: 4,189
Updated: Mar 18, 2026
Occupation

Data Scientists

Visualization Expert

Chart selection and data visualization guidance for effective data communication. Use when: creating visualizations, choosing chart types, designing dashboards, or when user mentions data visualization, charts, graphs, or needs help presenting data visually.

Shubhamsaboo106.3k

Data Analyst

SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.

Shubhamsaboo106.3k

Huggingface Hub

Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.

NousResearch98.6k

Automation Tools

Multi Reviewer Patterns

Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.

CMS & Platforms

Dbt Transformation Patterns

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

Startup Financial Modeling

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or runway, modeling fundraising scenarios, or preparing investor-ready financials for a seed or Series A raise.

Data Scientists