nimrodfisher

nimrodfisher

@nimrodfisher

GitHub
31 Skills
15319 Total Stars
February 2026 Joined

Public Skills

ab-test-analysis

by nimrodfisher

Rigorous A/B test statistical analysis. Use when analyzing experiment results, calculating statistical significance, checking for sample ratio mismatch, or validating test design before launch.

Code Review 495 9mo ago

root-cause-investigation

by nimrodfisher

Systematic investigation of metric changes and anomalies. Use when a metric unexpectedly changes, investigating business metric drops, explaining performance variations, or drilling into aggregated metric drivers.

Analytics 495 9mo ago

sql-to-business-logic

by nimrodfisher

Translate SQL queries into plain language business logic. Use when documenting queries, explaining analysis to non-technical stakeholders, code review, or creating user-friendly query descriptions.

Database 495 9mo ago

insight-synthesis

by nimrodfisher

Transform data findings into compelling insights. Use when converting analysis results into actionable insights, connecting findings to business impact, or preparing insights for stakeholder communication.

Code Gen 495 9mo ago

semantic-model-builder

by nimrodfisher

Create comprehensive semantic layer documentation for analytics assets. Use when documenting data models, defining business metrics, creating data dictionaries, or building context for AI-assisted analysis.

Processing 495 9mo ago

visualization-builder

by nimrodfisher

Create effective, publication-ready data visualizations. Use when choosing chart types, designing dashboards, creating presentation visuals, or building interactive visualizations with best practices.

Analytics 494 9mo ago

business-metrics-calculator

by nimrodfisher

Standard business metric calculation with industry benchmarks. Use when calculating SaaS metrics (MRR, churn, LTV, CAC), e-commerce KPIs, or product analytics metrics with proper definitions.

Code Gen 494 9mo ago

time-series-analysis

by nimrodfisher

Temporal pattern detection and forecasting. Use when analyzing trends over time, detecting seasonality, identifying anomalies in time series, or building simple forecasting models.

Processing 494 9mo ago

schema-mapper

by nimrodfisher

Database schema understanding and relationship mapping. Use when exploring unfamiliar databases, documenting table relationships, identifying join paths, or generating ERD documentation for existing schemas.

Processing 494 9mo ago

analysis-documentation

by nimrodfisher

Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.

Code Gen 494 9mo ago

data-narrative-builder

by nimrodfisher

Build compelling data-driven narratives and stories. Use when presenting analysis results, creating reports, or communicating data insights through storytelling frameworks.

Processing 494 9mo ago

data-catalog-entry

by nimrodfisher

Create standardized metadata for data assets. Use when documenting new datasets, building data catalogs, improving data discoverability, or creating data dictionaries for teams.

Processing 494 9mo ago

funnel-analysis

by nimrodfisher

Conversion funnel analysis with drop-off investigation. Use when analyzing multi-step processes, identifying conversion bottlenecks, A/B testing funnel performance, or optimizing user journeys.

Processing 494 9mo ago

metric-reconciliation

by nimrodfisher

Cross-source metric validation and discrepancy investigation. Use when metrics from different sources don't match, investigating data quality issues between systems, or validating data migration accuracy.

Analytics 494 9mo ago

segmentation-analysis

by nimrodfisher

Customer/user segmentation with actionable insights. Use when identifying distinct customer groups, analyzing segment-specific behavior, profiling high-value segments, or testing segmentation hypotheses.

Code Gen 494 9mo ago

dashboard-specification

by nimrodfisher

Design specifications for effective dashboards. Use when planning new dashboards, improving existing ones, or documenting dashboard requirements before development.

Analytics 494 9mo ago

executive-summary-generator

by nimrodfisher

Create concise executive summaries from detailed analysis. Use when preparing board decks, executive briefings, or condensing complex analysis into decision-ready formats.

Code Gen 494 9mo ago

analysis-assumptions-log

by nimrodfisher

Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.

Processing 494 9mo ago

cohort-analysis

by nimrodfisher

Time-based cohort analysis with retention and behavior tracking. Use when analyzing user retention over time, comparing cohort performance, identifying lifecycle patterns, or measuring feature adoption by cohort.

Auth 494 9mo ago

stakeholder-requirements-gathering

by nimrodfisher

Structured requirements elicitation for analysis requests. Use when scoping new analysis projects, clarifying ambiguous business questions, or documenting analysis acceptance criteria with stakeholders.

Code Gen 494 9mo ago

query-validation

by nimrodfisher

SQL query review and validation for correctness, performance, and best practices. Use when reviewing queries for logical errors, optimizing query performance, checking for SQL anti-patterns, or validating business logic implementation in SQL.

Database 494 9mo ago

context-packager

by nimrodfisher

Efficiently package context for AI-assisted analysis. Use when preparing to work with Claude on analysis, organizing context documents, or structuring prompts for complex analytical tasks.

Agents 494 9mo ago

peer-review-template

by nimrodfisher

Structured peer review for analytical work. Use when reviewing teammates' analysis, providing constructive feedback, or establishing analysis quality standards.

Code Gen 494 9mo ago

data-quality-audit

by nimrodfisher

Comprehensive data quality assessment against defined business rules and constraints. Use when validating data against expected schemas, checking referential integrity across tables, or auditing data pipeline outputs before production use.

Code Review 494 9mo ago