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eco2-team

Official

@eco2-team · Korea, South

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2Public Repos
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30Published Skills

🌱 이코에코(Eco²) : AI 캐릭터 '이코(Eco)'와 함께하는 분리배출 안내 환경 행동 코칭 서비스

Skills Distribution
DomainCloud & Comp...Distributed Systems (40%)Backend Architecture (30%)Frontend Engineering (30%)

Agent Skills by eco2-team

Showing 30 vetted skills indexed across 2 GitHub repositories.

eco2-teameco2-team
2

agent-feature

Build an Agent page UI with SSE token streaming and React 19.

Official
Advanced
eco2-teameco2-team
2

map-feature

Implement a Kakao Maps-based store locator page with search, filters, and detail views.

Official
Intermediate
eco2-teameco2-team
2

data-integrity

Coordinate optimistic UI, IndexedDB v3 persistence, and server reconciliation for chat data.

Official
Advanced
eco2-teameco2-team
2

troubleshooting

Diagnose build errors, image upload failures, and SSE connection issues.

Official
Advanced
eco2-teameco2-team
2

webapp-testing

A JSON with no</body></html> is not valid.

Official
Intermediate
eco2-teameco2-team
2

code-quality

Enforces Prettier, ESLint, and TypeScript conventions across PR reviews and CI pipelines.

Official
Advanced
eco2-teameco2-team
2

vercel-react-best-practices

Generate prioritized React/Next.js performance optimization plans from official best practices.

Official
Advanced
eco2-teameco2-team
3

chat-agent-flow

Consolidate Eco² Chat E2E testing guidance for API endpoints, SSE streams, and Redis Streams pipelines.

Official
Advanced
eco2-teameco2-team
3

postgres-schema

Design PostgreSQL schemas with naming conventions, constraints, and migration patterns.

Official
Basic
eco2-teameco2-team
3

k8s-debugging

Diagnose Kubernetes pod, network, and cluster issues with actionable commands.

Official
Advanced
eco2-teameco2-team
3

redis-patterns

Implement Redis patterns for caching, rate limiting, Pub/Sub, and Streams in Python.

Official
Intermediate
eco2-teameco2-team
3

langsmith-telemetry

Track LLM calls, token usage, and costs in LangChain/LangGraph applications.

Official
Intermediate
eco2-teameco2-team
3

celery-rabbitmq

Create RabbitMQ queues, exchanges, and bindings from Kubernetes Custom Resources.

Official
Advanced
eco2-teameco2-team
3

doc-coauthoring

Guide collaborative documentation workflows through context gathering, refinement, and reader testing.

Official
Advanced
eco2-teameco2-team
3

prompt-engineering

Design and optimize prompt templates with roles, contexts, and constraints.

Official
Basic
eco2-teameco2-team
3

gemini-sdk

Access Google Gemini models with function calling and structured outputs.

Official
Intermediate
eco2-teameco2-team
3

git-workflow

Standardize Git workflows with branch strategies, naming conventions, and PR procedures.

Official
Basic
eco2-teameco2-team
3

code-review

Review Python/FastAPI pull requests for architecture, quality, security, and performance.

Official
Intermediate
eco2-teameco2-team
3

agent-provisioning

Automates infrastructure provisioning for agent systems with singleton dependencies, HTTP client pools, and LLM client configurations.

Official
Advanced
eco2-teameco2-team
3

langgraph-pipeline

Design and execute LangGraph pipelines with intent routing and subagent orchestration.

Official
Advanced
eco2-teameco2-team
3

rag-pipeline

Implement and evaluate retrieval-augmented generation workflows with citation tracking.

Official
Advanced
eco2-teameco2-team
3

skill-creator

Create or update Claude skills with standardized scaffolds and packaging scripts.

Official
Intermediate
eco2-teameco2-team
3

location-service

Model and query recycling center locations by integrating Kakao Local results with PostGIS spatial queries.

Official
Intermediate
eco2-teameco2-team
3

grpc-service

Integrate gRPC microservices using Port/Adapter architecture with generated protobufs.

Official
Advanced

Frequently Asked Questions About eco2-team

FAQPage Schema
What specific tasks can I perform using these engineering patterns?

You can implement robust event-driven architectures, design spatial query services for location-based data, and build persistent chat systems. These patterns support gRPC microservice integration, PostgreSQL schema design, and high-performance frontend state management using React 19 and IndexedDB.

Which technical personas benefit most from these architectural patterns?

Backend engineers, full-stack developers, and infrastructure architects focused on distributed systems will find these patterns most useful. The documentation and scaffolds are specifically designed for teams managing complex state, real-time event buses, and spatial data integration within high-concurrency environments.

What are the primary dependencies and prerequisites for implementation?

Implementation requires a foundational environment supporting PostgreSQL, Redis, and RabbitMQ. Developers should be familiar with Clean Architecture principles, gRPC service definitions, and modern React/Next.js performance standards to effectively utilize the provided scaffolds and service patterns.