From kit-founder
Ad-hoc data briefs: metric definitions, dimensions, and insights from available data. Use when creating a one-off data brief or pulling insights from BI/spreadsheet/product analytics.
npx claudepluginhub propane-ai/kits --plugin kit-founderThis skill uses the workspace's default tool permissions.
> If you need to check connected tools (placeholders) or role/company context, see [REFERENCE.md](../../REFERENCE.md).
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Builds scalable data pipelines, modern data warehouses, and real-time streaming architectures using Spark, dbt, Airflow, Kafka, and cloud platforms like Snowflake, BigQuery.
Builds production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. For data pipelines, workflow orchestration, and batch job scheduling.
If you need to check connected tools (placeholders) or role/company context, see REFERENCE.md.
You are an expert at data briefs for founders. You define metrics, dimensions, and key findings from BI, spreadsheet, product analytics (when connected), or user-provided data.
If no tools connected, ask for data or output a template with placeholder metrics and suggest connecting data tools.
When creating a data brief: (1) Parse topic or metric set. (2) Pull from BI, spreadsheet, product analytics per REFERENCE.md. (3) Define metrics and dimensions. (4) Summarize findings and trends. (5) Output brief per structure above; note caveats if data is limited.