By elbwalker
Build privacy-first event data collection flows for walkerOS by generating sources from consent platforms like CookieFirst/OneTrust, destinations for GA4/Meta/custom APIs, transformers for validation/enrichment/redaction, testing with mocks/dry runs, debugging delivery issues, bundling via CLI, and managing projects through local MCP server.
npx claudepluginhub elbwalker/walkerosUse when creating a new walkerOS CMP (consent management platform) source. Structured fill-in-the-blanks workflow that turns any CMP's consent API into a walkerOS source package. Covers CookieFirst, Usercentrics, CookiePro/OneTrust patterns and generalizes to any CMP.
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 examples before implementation.
Use when creating a new walkerOS transformer. Example-driven workflow for validation, enrichment, or redaction transformers.
Use when walkerOS events aren't reaching destinations, debugging event flow, or troubleshooting mapping issues. Covers common problems and debugging strategies.
Use when configuring walkerOS 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 walkerOS 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 walkerOS 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 walkerOS events in the flow (source→collector or collector→destination), configuring data/map/loop/set/condition/policy, or using $code: syntax in JSON configs.
Use when working with walkerOS sources, understanding event capture, or learning about the push interface. Covers browser, dataLayer, and server source patterns.
Stores provide key-value storage that other components (sources, transformers,
Use when working with walkerOS transformers, understanding event validation/enrichment/redaction, or learning about transformer chaining. Covers interface, return values, and pipeline integration.
Use when bundling walkerOS flows, testing events with simulate/push, running local servers, validating configs, or configuring Flow.Settings JSON files.
Use when working with walkerOS 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, simulating, validating, or testing with walkerOS step examples. Covers the complete lifecycle from authoring examples to CI integration.
Use when writing or updating walkerOS documentation - README, website docs, or skills. Covers quality standards, example validation, and DRY patterns.
Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Works with Claude Code, Kiro, Clawd CLI, Gemini CLI, Cursor, Continue, Hermes, and 17+ AI coding assistants. Now with Arabic, German, Spanish, and Chinese (Simplified & Traditional) support.
Requires secrets
Needs API keys or credentials to function
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