Propose new KPI, metric, or event definitions for Flintmere.
npx skills add https://github.com/Flintmere/flintmere --skill define-metric-flintmere
Please help me install this Agent Skill. Skill: define-metric Source: https://github.com/Flintmere/flintmere/tree/main/.claude/skills/define-metric Command: npx skills add https://github.com/Flintmere/flintmere --skill define-metric-flintmere
Proposes a clear mechanism to create new KPI, metric, or event definitions for Flintmere when existing metrics cannot answer a recurring question or adequately support decisions around new features, activation, or retention strategies.
Draft a complete metric proposal following the catalog format and submit it for sign-off.
High-intent search queries and answers about installing and using this skill.
To define a new KPI metric, you propose a complete specification covering name, formula, source, owner, refresh cadence, decision informed, and PII risk. This ensures the metric definition lands in the data-intelligence metric catalog for alignment.
A metric definition requires the metric name, calculation formula, data source, owner, refresh cadence, the decision it informs, and associated PII risk. These fields validate the metric against existing data sources before engineering handles instrumentation.
You propose an event for feature launch instrumentation by drafting a specification that defines the event's name, source, and decision informed. The specification is submitted for sign-off so engineering can instrument it without direct implementation in this stage.
Metric definition does not handle data instrumentation directly. It produces a specification that engineering can instrument, ensuring the definition is validated against the data catalog and data sources for feasibility and alignment first.
Yes, you can use metric definition for activation and retention metrics. The scope applies to these metrics alongside feature launches, ensuring recurring questions are answered by definitions that include formula, source, and PII risk assessment.
Validating a proposed metric against the data-intelligence catalog ensures feasibility and alignment with existing data sources. It prevents duplicate metrics and confirms the definition is ready for engineering instrumentation and catalog sign-off.
Datus-aiConvert natural language metric descriptions and SQL queries into validated MetricFlow definitions.
shafibabarDefine instrumentation plans mapping product, business, and delivery metrics to sources.
edwardmonteiroCreate metric definitions and segmentation guidance for product analytics.
daemon-blockint-techProfile, clean, and validate tabular data into analysis-ready datasets.
