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Found 5,637 Skills
Implement usage-based billing with Flowglad including recording usage events, checking balances, and displaying usage information. Use this skill when adding metered billing, tracking API calls, or implementing consumption-based pricing.
Design and generate property-based tests (PBT) for changed files in the current git branch. Extracts specifications, designs properties (invariants, round-trip, idempotence, metamorphic, monotonicity, reference model), builds generator strategies, implements tests, and self-scores against a rubric (24/30+ required). Supports fast-check (TS/JS), hypothesis (Python), and proptest (Rust). Use when: (1) "write property tests for my changes", (2) "add PBT", (3) "property-based test", (4) after implementing pure functions, validators, parsers, or formatters to verify invariants.
Safe database schema migrations using the expand-and-contract pattern with Prisma ORM. Use when renaming columns/tables, changing column types, adding non-nullable columns, or any schema change requiring zero-downtime deployment.
Use when working with SQLite databases in Bun. Covers Bun's built-in SQLite driver, database operations, prepared statements, and transactions with high performance.
Scaffold a production-ready Next.js (App Router) + TypeScript + Tailwind + shadcn/ui + Supabase (Postgres/Auth/Storage) boilerplate, deployable to Vercel. Includes Supabase migrations, RLS-ready multi-tenant schema, and example API routes (internal + external).
Use before starting implementation - research repository documentation, codebase patterns, and external resources to inform the approach
Best practices for Convex database queries, indexes, and filtering. Use when writing or reviewing database queries in Convex, working with `.filter()`, `.collect()`, `.withIndex()`, defining indexes in schema.ts, or optimizing query performance.
Perform initial analysis of a codebase - detect tech stack, directory structure, and completeness. This is Step 1 of the 6-step reverse engineering process that transforms incomplete applications into spec-driven codebases. Automatically detects programming languages, frameworks, architecture patterns, and generates comprehensive analysis-report.md. Use when starting reverse engineering on any codebase.
Comprehensive security audit of codebase using multiple security-auditor agents. Use before production deployments or after major features.
Staff-level codebase health review. Finds monolithic modules, silent failures, type safety gaps, test coverage holes, and LLM-friendliness issues.
Use when designing databases for data-heavy applications, making schema decisions for performance, choosing between normalization and denormalization, selecting storage/indexing strategies, planning for scale, or evaluating OLTP vs OLAP trade-offs. Also use when encountering N+1 queries, ORM issues, or concurrency problems.
Comprehensive metabolomics research skill for identifying metabolites, analyzing studies, and searching metabolomics databases. Integrates HMDB (220k+ metabolites), MetaboLights, Metabolomics Workbench, and PubChem. Use when asked to identify or annotate metabolites (HMDB IDs, chemical properties, pathways), retrieve metabolomics study information from MetaboLights (MTBLS*) or Metabolomics Workbench (ST*), search for studies by keywords or disease, or generate comprehensive metabolomics research reports.