rust-error-advanced
深入错误处理专家。处理 Result vs Option, thiserror, anyhow, error context, library vs application errors, 错误处理, Result 用法, 什么时候用 panic
Découvrez les skills testing security architecture patterns, comparez leurs dépôts et consultez leurs instructions.
深入错误处理专家。处理 Result vs Option, thiserror, anyhow, error context, library vs application errors, 错误处理, Result 用法, 什么时候用 panic
Content web architecture framework. Use when diagnosing offer doc usage, content-to-conversion pathways, or why someone isn't getting sales despite traffic.
Rust error handling with anyhow and thiserror
Fast, non-poisoning synchronization primitives
Async channel patterns for Rust (async-channel, tokio, crossbeam)
Create AILANG design documents in the correct format and location. Use when user asks to create a design doc, plan a feature, or document a design. Handles both planned/ and implemented/ docs with proper struct...
Handle production incidents with SRE best practices including detection, investigation, mitigation, recovery, and postmortems. Use when dealing with production outages, SEV1/SEV2 incidents, creating postmortems...
Grey Haven's security best practices - input validation, output sanitization, multi-tenant RLS, secret management with Doppler, rate limiting, OWASP Top 10 for TanStack/FastAPI stack. Use when implementing secu...
Comprehensive documentation systems design including structure, generation, maintenance, and automation. Use when designing documentation systems, automating documentation generation, or managing large-scale do...
Meta-level plugin suite auditor that uses subagents to analyze any plugin for usability improvements, missing agents, duplication, and workflow optimizations. Generates comprehensive reports with user-approved...
AI-powered intelligent debugging with stack trace analysis, error pattern recognition, and automated fix suggestions. Use when debugging complex errors, analyzing stack traces, or performing root cause analysis...
Multi-agent workflow orchestration with state persistence, handoff patterns, and resumable workflows. Use when building multi-agent workflows, coordinating complex tasks, or implementing resumable processes. Tr...
DevOps and infrastructure troubleshooting for Cloudflare Workers, PlanetScale PostgreSQL, and distributed systems. Use when debugging deployment issues, infrastructure problems, connection errors, or performanc...
Create comprehensive ontological documentation for Grey Haven systems - extract domain concepts from TanStack Start and FastAPI codebases, model semantic relationships, generate visual representations of system...
Write Rust code following best practices. Use when developing Rust applications. Covers ownership, error handling, and async patterns.
Apply Domain-Driven Design patterns. Use when modeling complex business domains, defining bounded contexts, or designing aggregates. Covers entities, value objects, and repositories.
Design scalable, reliable software systems. Use when planning new systems, major features, or architecture changes. Covers C4 diagrams, trade-off analysis, and system decomposition.
Manage infrastructure as code. Use when provisioning resources, managing cloud infrastructure, or setting up environments. Covers Terraform and IaC patterns.
Handle production incidents effectively. Use when responding to outages, conducting post-mortems, or improving reliability. Covers incident response and blameless culture.
Write clean, efficient, maintainable code. Use when implementing features, writing functions, or creating new modules. Covers SOLID principles, error handling, and code organization.
Apply layered security architecture. Use when designing security controls, hardening systems, or reviewing security posture. Covers multiple security layers.
Apply cloud-native architecture patterns. Use when designing for scalability, resilience, or cloud deployment. Covers microservices, containers, and distributed systems.
Design REST APIs or function contracts with clear request/response specifications, error handling patterns, authentication strategies, and comprehensive documentation.
Auto-activates during requirements analysis to evaluate technical stack compatibility, recommend appropriate technologies, and assess performance implications.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.