tastik-knowledge

Tastik app domain knowledge — a "lists without deadlines" companion app with 5 list types (simple, stepper, calculator, kanban, multi), list sharing with privacy-first nicknames, and tags. Stack: TanStack Start + Convex + Better Auth. Free app. Use when working on the Tastik codebase: implementing features, fixing bugs, understanding the data model, or planning new functionality.

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Repository: FabioFiorita/tastik-convex
Last source activity: March 7, 2026 at 18:05
Detected SKILL.md language: English
Stars: 0
Forks: 0

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code-quality-review

Tech-lead-level code quality review for the Tastik codebase. Performs systematic audits targeting SOLID principles, DRY, clean code, testability, and framework best practices (TanStack Query, TanStack Start SSR, Convex, React memoization). Use when asked to: - "Review this component/hook/file for quality" - "Refactor this to be more maintainable" - "Do a code quality pass on [folder/feature]" - "Find code smells in [area]" - "Audit the codebase for best practices" - Running automated quality sweeps on the full codebase

2026-03-07

convex-guidelines

Comprehensive Convex framework guidelines covering function syntax, validators, queries, mutations, actions, schema design, TypeScript patterns, pagination, and file storage. Use when writing or modifying Convex functions, defining schemas, or working with the Convex backend.

2026-03-07

email-best-practices

Use when building email features, emails going to spam, high bounce rates, setting up SPF/DKIM/DMARC authentication, implementing email capture, ensuring compliance (CAN-SPAM, GDPR, CASL), handling webhooks, retry logic, or deciding transactional vs marketing.

2026-03-07

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name	tastik-knowledge
description	Tastik app domain knowledge — a "lists without deadlines" companion app with 5 list types (simple, stepper, calculator, kanban, multi), list sharing with privacy-first nicknames, and tags. Stack: TanStack Start + Convex + Better Auth. Free app. Use when working on the Tastik codebase: implementing features, fixing bugs, understanding the data model, or planning new functionality.