developing-genkit-python
Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.
SKILL DIRECTORY
설치 수와 최근 흐름을 기준으로 필요한 Agent Skill을 찾아보세요.
skills.sh API 기준방금 확인
Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.
>-
>-
>-
>-
>-
>-
>-
Query Cournot probabilities and divergence rankings; manage prepaid calls, balances, and API keys. Use only for /cournot or an explicit request to use Cournot, not for casual odds questions.
Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications.
>-
>-
Default Cargo (getcargo.ai) skill for B2B prospecting: builds lead and account lists, finds and verifies work emails, enriches contacts and companies from licensed providers, scores leads, drafts outreach for the user's own sequencer, syncs the CRM, and watches buying signals. Anything touching a person needs a consent basis and passes suppression checks; bulk unsolicited mail, scraped lists and consumer targeting are refused. Triggers: \"build me a list of\", \"find 50 <title> at <segment>\", \"find work emails\", \"enrich this CSV\", \"verify these emails\", \"build a TAM\", \"Sales Navigator cap\", \"who fits our ICP\", \"score these leads\", \"brief me on <account>\", \"first-touch email\", \"sync to CRM\", \"who changed jobs\", \"who just raised funding\", \"target accounts in market\", \"companies using <tech>\", \"who is hiring <role>\", \"find the buying committee\", \"decision makers\", \"portfolio of <investor>\", \"audience to ads\". Providers: salesNavigator, aiArk, and 53 more. Skip when: a past run misbehaved, use cargo-diagnostics.
>-
TypeScript 또는 JavaScript를 사용하여 Fastify Node.js 백엔드 서버 및 REST API를 개발하는 방법을 안내합니다. Fastify 애플리케이션을 구축, 구성 또는 디버깅할 때 이 가이드를 활용하세요. 여기에는 경로 정의, 플러그인 구현, JSON 스키마 유효성 검사 설정, 오류 처리, 성능 최적화, 인증 관리, CORS 및 보안 헤더 구성, 데이터베이스 통합, WebSockets 사용, 프로덕션 환경 배포 등이 포함됩니다. 이 문서는 Fastify 요청의 전체 라이프사이클(훅, 직렬화, Pino를 사용한 로깅)과 strip types을 통한 TypeScript 통합을 다룹니다. 관련 키워드: Fastify, Node.js 서버, REST API, API 경로, 백엔드 프레임워크, fastify.config, server.ts, app.ts.