ENDORPHIN AI avatar

ENDORPHIN AI

Official

@endorphin-ai · United States of America

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13Public Repos
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26Published Skills

Offers full-stack engineering frameworks for Go, React, and MEAN stack development, encompassing system architecture, testing, and project management.

Skills Distribution
DomainDeveloper To...Full-Stack Enginee.. (40%)Quality Assurance .. (30%)System Architectur.. (20%)Project Management (10%)

Agent Skills by ENDORPHIN AI

Showing 26 vetted skills indexed across 2 GitHub repositories.

endorphin-aiendorphin-ai
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soc-media-writer

Generate social media posts and video scripts using copywriting frameworks.

Official
Advanced
endorphin-aiendorphin-ai
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system-architecture

Guide architecture pattern selection and system design workflows.

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Advanced
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4

test-driven-development

Guide developers through the Test-Driven Development RED-GREEN-REFACTOR loop.

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Intermediate
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four-principles

Enforces four engineering principles for coding in software development workflows.

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Intermediate
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docs-project-management

Manage project documentation and work items using markdown files with Git.

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Advanced
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verification-before-completion

Guide developers through verification checks before claiming work completion.

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Advanced
endorphin-aiendorphin-ai
4

pipeline-state

Manage durable pipeline state for multi-agent systems using Bash and jq.

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Advanced
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build-brain

Transform raw data or skills into an AI-optimized second brain structure.

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Advanced
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prompt-expert

Create tailored prompts for AI platforms like Claude, Gemini, and Copilot.

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Advanced
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designer-frontend-contract

Freeze design mockups, port them to frontend, and verify visual parity.

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Advanced
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frontend-mean

Develop React frontends for MEAN stack applications with Vite and Tailwind CSS.

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Intermediate
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pm-mean

Generate PRDs and review code against acceptance criteria for MEAN stack applications.

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Advanced
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qa-backend-mean

Generate and run MEAN stack backend tests with Jest and Supertest.

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Advanced
endorphin-aiendorphin-ai
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react-design-mean

Design React frontend architectures for MEAN stack applications.

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Advanced
endorphin-aiendorphin-ai
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mongodb-mean

Design MongoDB database architectures and generate Mongoose schemas for MEAN stack applications.

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Advanced
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code-review-mean

Review MEAN stack code for architecture, security, and performance issues.

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Advanced
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backend-mean

Generate Node.js, Express, and MongoDB server code for MEAN stack applications.

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Advanced
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qa-frontend-mean

Generate and execute React frontend tests using Jest, React Testing Library, and Mock Service Worker.

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Advanced
endorphin-aiendorphin-ai
3

express-api-mean

Design REST API architectures for MEAN stack applications with Express.js.

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Advanced
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react

Develop React frontend applications with TypeScript, Vite, and TanStack Query.

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Advanced
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qa-react

Create and execute React frontend tests with Vitest, MSW, and jest-axe.

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Advanced
endorphin-aiendorphin-ai
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system-design

Design and review fullstack Go and React applications with PostgreSQL.

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Advanced
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qa-go

Test Go backend applications with unit, integration, and middleware patterns.

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Advanced
endorphin-aiendorphin-ai
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jira

Manage Jira issues via Atlassian MCP with creation, updates, linking, commenting, and JQL searches.

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Advanced

Frequently Asked Questions About ENDORPHIN AI

FAQPage Schema
What specific development tasks can I perform using these skills?

You can generate full-stack code for Go and MEAN applications, design database schemas with Mongoose or PostgreSQL, execute unit and integration tests, and manage project requirements through structured markdown and Jira issue tracking.

Which engineering personas benefit most from these capabilities?

Full-stack developers, backend engineers specializing in Go or Node.js, and frontend developers working with React and TypeScript will find these skills effective for maintaining architectural consistency and rigorous testing standards across their projects.

What are the primary technical prerequisites for implementing these solutions?

Implementation requires a foundational environment supporting Go with pgx, Node.js with Express and MongoDB, and React with Vite. Additionally, familiarity with Git for documentation management and Atlassian MCP for Jira connectivity is necessary for full project lifecycle support.