walkeros

Use when creating a new walkerOS destination. Example-driven workflow starting with research and examples before implementation.

Use when creating a new walkerOS source. Example-driven workflow starting with research and input examples before implementation.

Use when creating a new walkerOS transformer. Example-driven workflow for validation, enrichment, or redaction transformers.

Use when events aren't reaching destinations, debugging event flow, or troubleshooting mapping issues. Covers common problems and debugging strategies.

Use when configuring event mappings for specific use cases. Provides recipes for GA4, Meta, custom APIs, and common transformation patterns.

Use when writing tests, reviewing test code, or discussing testing approach for walkerOS packages. Covers env pattern, dev examples, and package-specific strategies.

Use when working with destinations, understanding the destination interface, or learning about env pattern and configuration. Covers interface, lifecycle, env mocking, and paths.

Use when contributing to walkerOS, before writing code, or when unsure about project conventions. Covers build/test/lint workflow, XP principles, folder structure, and package usage.

Use when creating events, understanding event structure, or working with event properties. Covers entity-action naming, event properties, statelessness, and vendor-agnostic design.

Use when learning walkerOS architecture, understanding data flow, or designing composable event pipelines. Covers Source→Collector→Destination pattern and separation of concerns.

Use when transforming events at any point in the flow (source→collector or collector→destination), configuring data/map/loop/condition, or understanding value extraction. Covers all mapping strategies.

Use when working with sources, understanding event capture, or learning about the push interface. Covers browser, dataLayer, and server source patterns.

Use when working with transformers, understanding event validation/enrichment/redaction, or learning about transformer chaining. Covers interface, return values, and pipeline integration.

Use when working with sources/destinations to understand standard logging patterns, replace console.log, or add logging to external API calls. Covers DRY principles, when to log, and migration patterns.

Use when writing or updating any documentation - README, website docs, or skills. Covers quality standards, example validation, and DRY patterns.