Alex Thola

Scaffolds new projects with git, CI/CD workflows, pre-commit hooks, and build config. Use when starting a new Python, Rust, or TypeScript project from scratch.

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Build a project skill library in .claude/skills/ via discovery, parallel authoring, and review. Use when packaging tribal knowledge. Do not use for one skill.

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Configures GitHub Actions CI/CD workflows for testing, linting, and deployment. Use when setting up automation for a Python, Rust, or TypeScript project.

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Generates a Mermaid architecture diagram showing high-level component relationships. Use when visualizing how plugins or modules fit together.

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Applies layered n-tier architecture with enforced boundaries. Use when designing moderate systems needing clear presentation, domain, and persistence layers.

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Audit Skill() refs; detect hubs, isolates, and dangling targets. Use when auditing skills.

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Guide creating Claude Code skills with TDD and persuasion principles. Use for new skill development.

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Evaluate Claude Code rules in .claude/rules/. Use for frontmatter, globs, and quality audits.

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Evaluate hook security, performance, and SDK compliance. Use for audits.

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Applies microservices for independent deployment and per-service scaling. Use when teams need autonomous release cycles with distinct capability scaling needs.

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Select hook scope (plugin, project, global) by audience. Use when authoring a hook.

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Detect friction signals; graduate patterns into rules. Use for session retrospectives.

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Applies modular monolith with enforced internal boundaries. Use when teams want service-level autonomy without distributed system overhead.

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Enforce evidence bar, coverage gates, and regression guards. Use when adding tests or claiming done. Do not use to run suites; use night-market-operations.

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Run and ship this repo: make targets, artifacts, release runbook. Use when testing, linting, or releasing. Do not use for setup; use night-market-build-and-env.

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Applies coarse-grained service architecture for deployment independence. Use when independent deployment is needed but shared databases rule out microservices.

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Applies data-grid architecture for high-traffic stateful workloads. Use when a single database cannot scale and in-memory partitioning is needed.

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Configures pre-commit hooks for linting, type checking, formatting, and testing. Use when setting up a new project or adding quality gates to an existing one.

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Orchestrates full project lifecycle by auto-detecting state and routing to the correct phase. Use when starting or resuming a project mid-workflow.

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Selects and routes to the right architecture paradigm. Use when choosing patterns for a new system or comparing trade-offs before making architecture decisions.

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Applies serverless FaaS patterns for event-driven workloads. Use when designing bursty workloads with minimal infrastructure and pay-per-execution cost model.

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Applies pipes-and-filters for sequential data transformations. Use when data flows through discrete stages like ETL, streaming analytics, or CI/CD pipelines.

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Applies hexagonal architecture isolating domain from infrastructure. Use when designing systems where testability and port/adapter separation are priorities.

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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.

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