Answer data questions with lookups, trend analyses, and formal reports.
npx skills add https://github.com/cy-wali/knowledge --skill analyze-cy-wali
Please help me install this Agent Skill. Skill: analyze Source: https://github.com/cy-wali/knowledge/tree/main/data/skills/analyze Command: npx skills add https://github.com/cy-wali/knowledge --skill analyze-cy-wali
Answer data questions by turning casual inquiries into structured analyses, saving time and reducing guesswork.
Ask a natural-language question, for example, 'How many new users signed up last month?' to receive an answer.
High-intent search queries and answers about installing and using this skill.
To turn natural language questions into SQL data reports, you submit a casual inquiry and receive structured answers with metric calculations, validation checks, and presentation-ready outputs. It adapts to time ranges and segments.
Exploring data trends across connected sources is done by asking exploratory questions that trigger trend investigations and metric calculations. The system adapts to specified segments and time ranges to provide answers.
You can get quick data lookups without writing full SQL queries by asking simple questions like 'How many new users signed up last month?'. The system handles the data gathering and provides immediate answers.
This data analysis approach supports CSV delivery for stakeholders by providing guidance for SQL usage and CSV data delivery when needed. It generates formal reports with methodology and caveats.
To validate metrics during a data investigation, the system performs validation checks as part of its data gathering process. It calculates metrics across connected data sources and flags discrepancies in the output.
You should use formal data reporting over quick lookups when you need presentation-ready outputs with methodology and caveats for stakeholders. Quick lookups are better for simple, immediate answers from connected sources.
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