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.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/52yuanchangxing/metric-definition-catalogWhat This Skill Does
指标定义目录官 (Metric Definition Catalog) is a specialized AI agent skill designed to standardize fragmented organizational metrics. It acts as a single source of truth curator, transforming scattered definitions, calculation snippets, and vague business logic into a structured, audit-ready documentation system. The skill systematically organizes metrics by defining their precise business logic, mathematical formulas, data ownership, operational exceptions, and common analytical pitfalls.
Installation
To integrate this skill into your environment, run the following command in your terminal:
clawhub install openclaw/skills/skills/52yuanchangxing/metric-definition-catalog
Use Cases
- Metric Standardization: Aligning cross-departmental teams on the exact calculation for 'Retention Rate' or 'Net Revenue'.
- Technical Documentation: Creating a centralized knowledge base for data engineers and business analysts to refer to when building dashboards.
- Risk Mitigation: Identifying conflicting definitions across different business units before they lead to skewed decision-making.
- Onboarding Support: Helping new team members quickly understand key performance indicators without needing to navigate complex, outdated SQL repositories.
Example Prompts
- "我这里有一份各部门关于'活跃用户'的定义文档,请帮我梳理成标准的指标目录,并指出冲突的口径。"
- "基于提供的资源模板,请为我们的'转化率'指标编写一份定义书,必须包含常见的业务误用场景和计算公式。"
- "请检查这组营销指标定义,列出所有待确认的信息项,确保没有任何编造的逻辑,并提供一个可审阅的草案。"
Tips & Limitations
- Prioritize Clarity: Always request the skill to highlight 'Pending Confirmation' items if the source data is ambiguous. Do not force the AI to fabricate definitions.
- Maintain Boundaries: This skill is strictly for documentation and standardization. It is not designed to connect directly to BI tools or execute database write commands. Always use the 'Draft First' approach.
- Auditability: Every output is designed to be audit-ready. If you encounter contradictory definitions, ensure the skill presents them in parallel rather than merging them, as this preserves organizational context.
- Non-destructive: The skill defaults to a read-only workflow. If your environment allows code execution, the skill will use structured scripts to process your documentation needs without modifying your source systems.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-52yuanchangxing-metric-definition-catalog": {
"enabled": true,
"auto_update": true
}
}
}Tags
Flags: file-read
Related Skills
skill-tracker
通用技能使用统计追踪器,支持 Python 和 Node.js 技能,自动记录调用次数、成功率,生成使用排行榜。数据本地存储,保护隐私。
arrow
Apache Arrow in-memory columnar format reference. Zero-copy data exchange, columnar memory layout with validity bitmaps, pyarrow Table/RecordBatch/compute, Arrow Flight RPC for high-performance transfer, Dataset API with predicate pushdown, pandas/DuckDB/Polars/Spark integration, Gandiva LLVM compiler, and ADBC database connectivity.
social-sentiment
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts.
supermetrics
Official Supermetrics skill. Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn. Requires API key.
Spreadsheet & Data Wrangling Master
Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.