eco2-team
Official@eco2-team · Korea, South
🌱 이코에코(Eco²) : AI 캐릭터 '이코(Eco)'와 함께하는 분리배출 안내 환경 행동 코칭 서비스
Agent Skills by eco2-team
Showing 30 vetted skills indexed across 2 GitHub repositories.
agent-feature
Build an Agent page UI with SSE token streaming and React 19.
map-feature
Implement a Kakao Maps-based store locator page with search, filters, and detail views.
data-integrity
Coordinate optimistic UI, IndexedDB v3 persistence, and server reconciliation for chat data.
troubleshooting
Diagnose build errors, image upload failures, and SSE connection issues.
webapp-testing
A JSON with no</body></html> is not valid.
code-quality
Enforces Prettier, ESLint, and TypeScript conventions across PR reviews and CI pipelines.
vercel-react-best-practices
Generate prioritized React/Next.js performance optimization plans from official best practices.
chat-agent-flow
Consolidate Eco² Chat E2E testing guidance for API endpoints, SSE streams, and Redis Streams pipelines.
postgres-schema
Design PostgreSQL schemas with naming conventions, constraints, and migration patterns.
k8s-debugging
Diagnose Kubernetes pod, network, and cluster issues with actionable commands.
redis-patterns
Implement Redis patterns for caching, rate limiting, Pub/Sub, and Streams in Python.
langsmith-telemetry
Track LLM calls, token usage, and costs in LangChain/LangGraph applications.
celery-rabbitmq
Create RabbitMQ queues, exchanges, and bindings from Kubernetes Custom Resources.
doc-coauthoring
Guide collaborative documentation workflows through context gathering, refinement, and reader testing.
prompt-engineering
Design and optimize prompt templates with roles, contexts, and constraints.
gemini-sdk
Access Google Gemini models with function calling and structured outputs.
git-workflow
Standardize Git workflows with branch strategies, naming conventions, and PR procedures.
code-review
Review Python/FastAPI pull requests for architecture, quality, security, and performance.
agent-provisioning
Automates infrastructure provisioning for agent systems with singleton dependencies, HTTP client pools, and LLM client configurations.
langgraph-pipeline
Design and execute LangGraph pipelines with intent routing and subagent orchestration.
rag-pipeline
Implement and evaluate retrieval-augmented generation workflows with citation tracking.
skill-creator
Create or update Claude skills with standardized scaffolds and packaging scripts.
location-service
Model and query recycling center locations by integrating Kakao Local results with PostGIS spatial queries.
grpc-service
Integrate gRPC microservices using Port/Adapter architecture with generated protobufs.
Frequently Asked Questions About eco2-team
FAQPage SchemaWhat 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.