後端開發

Initialize Python project structure with proper directory layout, configuration files, and best practices. Use when creating new projects or restructuring existing ones.

Activates automatically when designing or implementing Cloudflare Workers APIs,orchestrating multi-provider API calls, implementing D1 database operations,or managing KV-based caching strategies.Ensures proper error handling, provider tagging, fallback chains, andorchestration patterns for BooksTrack backend infrastructure.Auto-activates on:- File patterns: *.worker.js, *-api.ts, *-service.ts in backend code- Keywords: "api orchestration", "multi-provider", "fallback chain", "D1 query"- Context: Cloudflare Workers development, API design discussions

Implements OTP design patterns including GenServer, Supervisor, and Application behaviors.

Generates NanoBanana PRO image prompts for 3D cat characters. Combines base Pixar style with ticker-specific traits, sector themes, and market-driven expressions. Supports 300+ tickers with fallback logic for unlisted stocks.

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch jobs, scheduling tasks, serving APIs with GPU acceleration, or scaling compute-intensive workloads. Triggers on requests for serverless GPU infrastructure, LLM inference, model training/fine-tuning, parallel data processing, cron jobs in the cloud, or deploying Python web endpoints.

Validate documentation files for completeness, accuracy, and consistency with the codebase. Use when user mentions "check documentation", "validate docs", "is the README up to date?", requests documentation review, says "docs are wrong" or "fix the docs", or is working on documentation improvements. Covers README files, API docs, CHANGELOG, and any markdown documentation.

This skill should be used when users ask questions about pod network development, pod smart contract language, pod APIs, pod tooling, or pod-specific features. It provides semantic search over the pod network knowledge base to retrieve relevant documentation, code examples, and best practices.

Validates agent configurations for model selection appropriateness, tool restriction accuracy, focus area quality, and approach completeness. Use when reviewing, auditing, improving, or troubleshooting agents, checking model choice (Sonnet/Haiku/Opus), validating tool permissions, assessing focus area specificity, or ensuring approach methodology is complete. Also triggers when user asks about agent best practices, wants to optimize agent design, needs help with agent validation, or is debugging agent issues.

Design, generate, and fully deploy a stylish, production-ready Retrieval-Augmented Generation (RAG) chatbot embedded directly into any website/project. Uses OpenAI ChatKit widget + Cohere embeddings + Qdrant Cloud + Neon Serverless Postgres + FastAPI backend. Supports selected-text questioning and full conversation history.

Query ACM/MCE component registry information including squad ownership, GitHub repositories, Konflux components, JIRA components, bundles, and prodsec components. Use when user asks about component ownership, squad assignments, repository URLs, component mappings, or any queries related to ACM/MCE components like "which squad owns X", "what's the repo for Y", "list components for Z squad", "what JIRA component for X", or "show all Server Foundation components".

Create Python projects with modern best practices. Use when asked to create a Python project, FastAPI app, CLI tool, or Python package. Includes uv for package management, Docker, pre-commit, ruff, FastAPI with uvloop, Typer CLI, SQLModel, and Pydantic.

Auto-invoke when reviewing API routes, server logic, Express/Node.js code, or backend architecture. Enforces REST conventions, middleware patterns, and separation of concerns.

Use this skill when designing REST, GraphQL, or gRPC APIs. Provides comprehensive API design patterns, versioning strategies, error handling conventions, authentication approaches, and OpenAPI/AsyncAPI templates. Ensures consistent, well-documented, and developer-friendly APIs across all backend services.

This skill enables interaction with Confluence Server/Data Center REST API for documentation retrieval and knowledge management. Use when the user wants to read pages, search content, list spaces, or retrieve documentation from Confluence Server.

Sends transactional and marketing emails with SendGrid API. Use when integrating email delivery in Node.js applications with templates, analytics, and high deliverability.

Use when writing, reviewing, or optimizing SQL queries. Covers PostgreSQL syntax, query patterns, schema design, indexing, and performance tuning. Triggers on SQL file creation, query optimization, schema migrations, or database design. For Python ORM usage, see python-backend skill.

Develop AI agents, tools, and workflows with Mastra v1 Beta and Hono servers. This skill should be used when creating Mastra agents, defining tools with Zod schemas, building workflows with step data flow, setting up Hono API servers with Mastra adapters, or implementing agent networks. Keywords: mastra, hono, agent, tool, workflow, AI, LLM, typescript, API, MCP.

Creates, analyzes, updates, and optimizes prompts using Claude 4.5 best practices, guardrails, context management, and prompt engineering patterns. Use when user asks how to write effective prompts, explaining prompt engineering techniques, understanding Claude 4.5 best practices, describing prompt patterns and structures, creating new prompts, evaluating existing prompts for improvements, determining if current logic should be extracted to prompts, identifying outdated prompt techniques, optimizing context usage, implementing guardrails, or when user mentions "prompt engineering", "hallucinations", "context optimization", "prompt caching", "chain-of-thought", or asks if logic should become a prompt.

Automatically applies when writing error handling in APIs and tools. Ensures errors are returned as structured JSON with error, request_id, and timestamp (not plain strings).

Spring Boot 3.4.4 and Java 17 tech stack configuration, package structure conventions, and coding patterns for consistent API development. Use this when generating designs, implementing features, or reviewing code to ensure alignment with the project's established tech stack and conventions.