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dokion-fullstack

Skill1 starsChanged 3 months agoMITView on GitHub

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when the user requests:

    line 13

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

dokion-fullstack

Metadata

  • Version: 1.0.0
  • Scope: Production-grade fullstack web application generation
  • Framework: Next.js 15 (App Router)
  • Language: TypeScript 5.4+ (strict mode)

Description

The dokion-fullstack skill generates vertically-sliced, type-safe fullstack applications. It enforces Server Components by default, colocates related logic by feature, and uses tRPC with Prisma to eliminate API contract drift. The stack is optimized for SaaS platforms, internal dashboards, and content systems.

Activation Triggers

Use this skill when the user requests:

  • A "fullstack app", "web application", or "dashboard"
  • Next.js with a database (PostgreSQL, MySQL, or SQLite via Prisma)
  • Authentication, authorization, or user management
  • Type-safe APIs between frontend and backend
  • Admin panels, CRUD operations, or data tables

Tech Stack

LayerTechnologyPurpose
FrameworkNext.js 15App Router, SSR, API routes
LanguageTypeScript 5.4+End-to-end type safety
StylingTailwind CSS 3.4+Utility-first CSS
UI Libraryshadcn/uiAccessible, composable components
API LayertRPC 11Type-safe RPC over HTTP
DatabasePostgreSQL 15+Primary relational datastore
ORMPrisma 5+Schema definition, migrations, queries
AuthLucia v3Session-based authentication
ValidationZodRuntime input/output validation
TestingVitest + PlaywrightUnit/integration + E2E
Env Safetyt3-envRuntime environment validation
DeploymentDocker + Docker ComposeContainerized local & production

Project Structure

Generate projects using this structure. Do not deviate without architectural justification.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

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  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free