Darien Hardin
Community@Dazlarus · Dallas, TX
AI systems engineer | Multi-agent orchestration | Rust, GPU/CPU inference Building Ensign Karl: a living, memory-driven AI platform. Also a novelist.
Agent Skills by Darien Hardin
Showing 76 vetted skills indexed across 1 GitHub repositories.
Dazlaruscode-improvement
Orchestrates security, SOLID, refactoring, and testing skills to improve existing code quality.
Dazlaruscompatibility
Reviews Python code for cross-platform and cross-version compatibility issues.
Dazlarusopenai-api
Guides OpenAI API integration with verified model capabilities and platform behavior.
Dazlarusdocumentation
Writes docstrings, READMEs, and API documentation following Google style conventions.
Dazlarusworkspace-awareness
Constrains file operations, searches, and path resolution to the active workspace directory.
Dazlaruserror-handling
Implements exception hierarchies, error propagation, and recovery patterns in Python code.
Dazlarustest-data-management
Generates test fixtures, factories, and lifecycle-managed data for Python test suites.
Dazlarusinternationalization
Implement multi-language support, locale formatting, and RTL layouts in web applications.
Dazlarusinfrastructure-as-code
Implements Terraform, CloudFormation, and Pulumi configurations following infrastructure-as-code best practices.
Dazlarusmistral-api
Guides Mistral API integration, model capabilities, and platform-specific behavior verification.
Dazlarusparsing-validation
Validate and parse external data using Pydantic models with structured error handling.
Dazlarusclarification
Controls when AI agents ask user questions during task execution.
Dazlarusgrpc
Designs gRPC services, protobuf schemas, and streaming RPC implementations.
Dazlarusasync-concurrency
Reviews and guides Python async/await code for correct concurrency, timeouts, and error handling.
Dazlarustime-handling
Reviews datetime code for timezone awareness, UTC storage, and DST-safe calculations.
Dazlarusserverless
Implements AWS Lambda functions and event-driven serverless architectures with best practices.
Dazlarusprompt-engineering
Designs, tests, and versions LLM system prompts using structured templates and evaluation metrics.
Dazlarusfrontend-development
Implements React and Vue components, state management, routing, and form validation patterns.
Dazlarusproperty-based-testing
Generates Hypothesis property-based tests, invariants, and stateful test strategies for Python code.
Dazlarusweb-performance
Optimizes Core Web Vitals, bundle sizes, and lazy loading for web applications.
Dazlaruscli-dev
Implements CLI applications with Typer, Click, and Rich following argument parsing and output formatting best practices.
Dazlarusapi-integration
Implements async HTTP clients with retry logic, timeouts, rate limiting, and response validation.
Dazlarusmigration-strategies
Implements data, API, and system migration patterns with rollback and compatibility strategies.
Dazlarustype-safety
Reviews Python code for type hints, generics, protocols, and static type checking compliance.
Frequently Asked Questions About Darien Hardin
FAQPage SchemaWhat tasks can I accomplish with Dazlarus's skill registry?▼
You can enforce SOLID principles, run systematic code reviews and refactoring, design REST/GraphQL/gRPC services, manage database migrations, build CI/CD pipelines, write property-based and integration tests, and integrate OpenAI, Anthropic, Mistral, and Z.AI model endpoints.
Who is the target audience for these skills?▼
Backend and full-stack engineers, platform architects, and AI systems engineers building multi-agent systems. The manifest emphasizes Python 3.12+ patterns, Pydantic models, async concurrency, and infrastructure work with Terraform, Docker, and Kubernetes.
How are the skills structured and invoked at runtime?▼
Most skills are marked user-invocable: false, meaning they activate contextually rather than by direct command. Orchestrator skills like code-improvement coordinate others, while planning-specs, planning-actionability, and planning-verification auto-load when the planning skill is active.
What prerequisites or dependencies do these skills require?▼
The manifest defines no external installation steps or paid dependencies. Skills assume familiarity with the referenced ecosystems: Python 3.12+, Pydantic, Docker, Kubernetes, Terraform, AWS Lambda, Kafka, RabbitMQ, Redis, React, and the OpenAI/Anthropic/Mistral/Z.AI platforms.
Do these skills cover security and compliance concerns?▼
Yes. The security-audit skill covers vulnerability assessment and secure coding, authentication handles OAuth flows, JWT tokens, and session management, and config-secrets governs environment variables and secret handling best practices.