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Planetary Escape

Official

@planetaryescape · United Kingdom

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31Public Repos
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52Published Skills

Offers architectural patterns for Rust-based email clients, Convex backend systems, and multi-provider model routing infrastructure.

Skills Distribution
DomainDeveloper To...Backend Systems Ar.. (40%)Rust Systems Progr.. (30%)Frontend & UI Engi.. (20%)Data Persistence &.. (10%)

Agent Skills by Planetary Escape

Showing 52 vetted skills indexed across 3 GitHub repositories.

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70

email-standards

Guide RFC-compliant email parsing, construction, and protocol implementation for the mxr client.

Official
Advanced
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rust-engineer

Write, review, and debug idiomatic Rust code with memory safety.

Official
Advanced
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rust-best-practices

Review Rust code for idiomatic, performant, and safe practices.

Official
Intermediate
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rust-async-patterns

Provide Tokio-based architectural patterns and templates for asynchronous Rust development.

Official
Advanced
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70

mxr

Manage multiple email accounts through a local-first terminal client.

Official
Advanced
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rust-learner

Retrieve Rust crate versions, API documentation, and Clippy lint explanations.

Official
Intermediate
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mxr-development

Manage the mxr mailbox development lifecycle, daemon debugging, and release pipeline.

Official
Advanced
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auto-generated-gmail-batch-operations

Automate Gmail API batch operations with metadata-first retrieval and DynamoDB-backed categorization.

Official
Advanced
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auto-generated-agent-orchestration-pattern

Orchestrate a six-agent email pipeline with shared cost tracking and circuit breakers.

Official
Advanced
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auto-generated-cost-tracking-pattern

Enforce per-run cost caps and service-specific budgets across multi-agent pipelines.

Official
Advanced
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auto-generated-aws-client-singleton-pattern

Manage AWS SDK clients as lazy, reusable singletons across Lambda invocations.

Official
Advanced
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auto-generated-dynamodb-operations-pattern

Implement DynamoDB CRUD, GSI queries, and batch writes for sender-tracking data.

Official
Advanced
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auto-generated-structured-logging-with-pino

Configure Pino-based structured logging with environment-aware transport for Node.js applications.

Official
Advanced
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auto-generated-shadcn-ui-patterns

Define and reuse CVA-based UI variants for shadcn/ui components in React.

Official
Advanced
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auto-generated-tanstack-query-patterns

Optimize React data fetching with TanStack Query patterns for polling and mutations.

Official
Advanced
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auto-generated-circuit-breaker-pattern

Implement per-service circuit breakers for external API calls with configurable timeouts.

Official
Advanced
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auto-generated-test-setup-with-msw

Automate MSW-based API mocking setup for Vitest tests.

Official
Advanced
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auto-generated-nextjs-api-route-patterns

Generate Next.js API routes with runtime exports and circuit breakers for AWS backends.

Official
Advanced
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auto-generated-react-email-patterns

Generate React Email patterns with inline Tailwind configurations for responsive newsletters.

Official
Intermediate
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auto-generated-error-handling-with-neverthrow

Standardize TypeScript error handling with neverthrow and a legacy Result type.

Official
Advanced
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error-handling

Create structured API error responses with specialized error classes and middleware.

Official
Intermediate
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shadcn-ui-patterns

Standardize shadcn-ui patterns with CVA, Radix, and data-slot layouts.

Official
Basic
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tree-message-architecture

Manage DAG-based message trees with traversal and cycle detection.

Official
Advanced
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auto-router-patterns

Route user messages to optimal AI models via task classification and cost-aware tier selection.

Official
Advanced

Frequently Asked Questions About Planetary Escape

FAQPage Schema
What specific technical tasks does Planetary Escape enable?

Planetary Escape enables the development of RFC-compliant email clients, structured backend data management using Convex, and sophisticated model routing. It provides patterns for AES-256-GCM encryption, RRF-based hybrid search, and resilient API tiering with circuit breakers.

Which engineering personas benefit from these patterns?

These patterns are designed for systems engineers building high-performance Rust applications, full-stack developers working with Convex and React, and infrastructure architects managing multi-provider model integrations and cost-sensitive backend services.

What are the primary prerequisites for implementing these patterns?

Implementation requires proficiency in Rust for systems components and TypeScript for the Convex-based backend and React frontend. Familiarity with asynchronous programming, specifically Tokio for Rust and SSE/WebSocket patterns for web services, is essential for successful integration.