Amarjeet Singh
Community@amar1404 · Gurgram
I am a Data Engineer, Data Platform Developer, Have experience in Scala, Spark,Hudi,Python, AIrflow
Agent Skills by Amarjeet Singh
Showing 40 vetted skills indexed across 1 GitHub repositories.
forecast
Generate time-series forecasts for key metrics using statistical methods.
semantic-validation
Validate semantic accuracy of analysis findings from ask-question and run-analysis.
tracking-gaps
Identify missing data points in datasets and generate data collection instrument requests.
export-results
Convert analysis outputs into slides, emails, Slack updates, and decision briefs.
presentation-themes
Apply predefined theme standards to presentation decks during run-analysis.
knowledge-bootstrap
Automate loading knowledge subsystems and datasets at session initiation.
ask-question
Process natural language queries to analyze data and generate insights.
install-marp
Install Marp CLI globally and verify its version via npm.
stakeholder-comms
Format analytical findings for specified stakeholder audiences and contexts.
archaeology
Embed SQL patterns and reusable CTEs into queries.
view-history
Browse and search past analyses stored in an index.yaml file.
guardrails
Monitor success and guardrail metrics to identify trade-offs in analysis workflows.
feedback-capture
Detect user corrections and learning feedback within ask-question sessions.
patterns
Detect recurring patterns in datasets during the run-analysis workflow.
archive-analysis
Automatically archives completed analyses to the knowledge repository after run-analysis.
visualization-patterns
Apply Storytelling with Data design standards to charts in the AI Analyst plugin.
size-opportunity
Calculate financial impact by estimating addressable market, conversion potential, and revenue impact.
first-run-welcome
Automate first-run setup with interactive prompts for data connection and preferences.
connect-data
Connect to CSV, DuckDB, PostgreSQL, BigQuery, Snowflake, Athena, and ClickHouse data sources.
compare-datasets
Compare metrics and patterns across datasets to identify similarities and differences.
explore-data
Explore datasets with schema overviews and quality checks in Python.
question-framing
Automate analytical question construction with decision context and success criteria.
run-analysis
Orchestrate analytical pipelines to generate validated findings, charts, and slide decks.
setup
Configure the AI Analyst environment through a conversational interview process.