4,949,339 AI resources indexedWorking toward the world’s largest AI resource index.
Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Use when composing Tailwind utilities, building responsive or dark-mode layouts, defining component variants with cva, resolving conflicting classes with tailwind-merge, or configuring a custom theme.
Use when building a RAG pipeline that ingests PDFs, Excel, CSV, or images — especially when debugging silent data loss, choosing between OCR tools, or handling edge cases like scanned pages, merged cells, or embedded charts.
Use when writing or optimizing a Dockerfile or docker-compose.yml for local dev, debugging containers that behave differently from local, or reducing image size for Python and Node.js apps. Not for Kubernetes resources or Helm — use containerization.
Pull request review guidance for correctness, security, tests, performance, API contract drift, migrations, and error handling. Use when reviewing diffs, pull requests, or risky refactors.
Use when choosing a branching strategy, writing a commit message, opening or reviewing a pull request, setting up commit linting, or tagging a versioned release.
Use when structuring a FastAPI application, designing dependency injection chains, defining Pydantic v2 schemas, adding JWT authentication, or writing async route tests with httpx.
Use when writing Dockerfiles, setting up docker-compose for local dev, configuring Kubernetes resources (Deployment, Service, Ingress, HPA), sizing pod resource limits, or packaging a service with Helm.
Cross-language coding standards for Python, TypeScript, and Go covering naming, SOLID design, code smell removal, and comment philosophy. Use when writing, reviewing, or refactoring production code for maintainability.
Git workflow guidance for branch naming, conventional commits, PR title format, merge strategy, and safe history rewriting. Use when creating branches, preparing commits, or reviewing repository hygiene.
Use when creating, triaging, or filing GitHub issues — writing bug reports, feature requests, or task tickets; classifying severity; using the gh CLI; or handling edge cases like regressions, flaky failures, security vulnerabilities, or cross-repo dependencies.
Use when adding feature flag support to a service, designing a percentage-based rollout, setting up A/B experiments or multivariate tests, choosing between LaunchDarkly, Unleash, and OpenFeature, writing tests for flag-gated code, or managing flag lifecycle and cleanup.
Use when building advanced React features — designing custom hooks, using Suspense or error boundaries, working in Next.js App Router with Server Components or Server Actions, applying TypeScript generics, or building animated UI with Framer Motion, View Transitions, or scroll-driven animations.
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Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.