본문으로 건너뛰기
cccskills
무료GitHub에 공개

convex

Assists with building real-time reactive backends using Convex. Use when creating databases with automatic client sync, reactive queries, file storage, scheduled functions, or full-text and vector search. Trigger words: convex, reactive backend, real-time database, useQuery, useMutation, convex functions, convex schema.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills
설치 방법 보기

포함된 파일(2)

  • SKILL.md3.8 KB
  • _scores.json1.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Convex

Overview

Convex is a reactive backend platform where database queries, mutations, and actions are defined in TypeScript and data automatically syncs to connected clients in real-time. It eliminates WebSocket code, polling, and cache invalidation, providing ACID transactions and optimistic updates out of the box.

Instructions

  • When defining schemas, use defineSchema() with defineTable() and typed validators (v.string(), v.number(), v.id("tableName")), and define indexes for all filtered and sorted queries.
  • When writing functions, use queries for reads (automatically reactive), mutations for writes (transactional, triggers reactive updates), and actions for external API calls (non-transactional).
  • When building React UIs, use useQuery() for reactive data subscriptions that auto-update, useMutation() for writes with optimistic updates, and usePaginatedQuery() for infinite scroll.
  • When handling authentication, use convex-auth for built-in auth or integrate Clerk/Auth0, and validate user identity at the start of every mutation with ctx.auth.getUserIdentity().
  • When processing background work, use ctx.scheduler.runAfter() for delayed execution and cron jobs for recurring tasks instead of making mutations slow.
  • When storing files, use ctx.storage.store() for upload and ctx.storage.getUrl() for serving URLs without S3 or CDN configuration.
  • When implementing search, use full-text search indexes with searchIndex() or vector search with vectorIndex() for AI/RAG applications, with metadata filtering.

Examples

Example 1: Build a real-time chat application

User request: "Create a real-time chat app with Convex and React"

Actions:

  1. Define messages table with schema, author reference, and timestamp index
  2. Create a query function that returns messages sorted by timestamp
  3. Create a mutation for sending messages with auth validation
  4. Use useQuery() in React to subscribe to messages with automatic real-time updates

Output: A chat application where messages appear instantly for all connected users without WebSocket code.

Example 2: Add full-text and vector search

User request: "Implement search across articles with both keyword and semantic search"

Actions:

  1. Define search index on article body field with searchIndex()
  2. Define vector index on embedding field with vectorIndex()
  3. Create query functions for text search and vector similarity search
  4. Combine metadata filtering with search for scoped results

Output: A dual search system supporting both keyword matching and semantic similarity queries.

Guidelines

  • Use schema validation in production: defineSchema() catches type errors at deploy time, not runtime.
  • Define indexes for all filtered/sorted queries to ensure efficient data access.
  • Use queries for reads, mutations for writes, actions for external APIs; never mix concerns.
  • Keep mutations small and fast since they hold a database lock; move heavy processing to actions.
  • Use ctx.scheduler.runAfter() for background work instead of making mutations slow.
  • Validate user identity at the start of every mutation to prevent unauthorized writes.
  • Use optimistic updates for interactive UIs; the client sees the change instantly while the server confirms.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

3dsmax-rendering

무료

Scripts and configures production rendering in Autodesk 3ds Max with the V-Ray and Corona renderers: output size and files, render elements, denoising, light mix, batch and command-line rendering, and network rendering. Use when a user asks to set up a production render, render several cameras in one batch, render from the command line or on a render farm, add render passes for compositing, or cut render time for archviz and product shots.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

3dsmax-scripting

무료

Covers scripting Autodesk 3ds Max, the 3D modeling and rendering application, with MAXScript and Python (pymxs): scene manipulation, object creation, material assignment, camera and light setup, batch operations, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, running scripts headless with 3dsmaxbatch, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

3proxy

무료

3proxy is a small open-source proxy server that runs HTTP/HTTPS, SOCKS4/5, SNI and TCP/UDP port-mapping proxies from one config file. Use when a user asks to set up an HTTP or SOCKS5 proxy, add proxy users and passwords, write 3proxy access rules, chain or rotate upstream (parent) proxies, limit bandwidth, connections or monthly traffic per user, run 3proxy in Docker, or fix a 3proxy.cfg that will not start.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

a2a-protocol

무료

Builds Agent2Agent (A2A) servers and clients, the open protocol (originally from Google, now under the Linux Foundation) that lets AI agents from different frameworks call each other. Use when the user wants to create an A2A-compliant agent, build an Agent Card, implement task management, connect agents across frameworks, set up agent discovery, handle streaming responses, implement push notifications, or orchestrate multi-agent workflows. Trigger words: a2a, agent to agent, agent2agent, a2a protocol, a2a server, a2a client, agent card, agent interoperability, agent collaboration, multi-agent, agent discovery, a2a sdk, a2a task.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

ab-test-setup

무료

Plans a controlled experiment (A/B test) so its result can be trusted: writes the hypothesis, picks one primary metric and the guardrails, computes sample size and run time, specifies how visitors are assigned and when exposure is logged, and reads out the result with a confidence interval. Use when someone says "set up an A/B test", "split test this page", "how many visitors do I need", "how long should the experiment run", "is this result significant", "can I stop the test early", or wants to test a headline, price, layout or onboarding change against the current version.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

ably

무료

Ably is a hosted realtime messaging service: clients publish and subscribe to named channels over WebSockets, see who is present, replay message history, and resume after a dropped connection. Use when a user asks to "add realtime updates", "push live notifications to the browser", "show who is online", "add a chat room with typing indicators", "publish from a serverless function", or "authenticate Ably clients without exposing the API key". Covers the ably 2.x JavaScript SDK (Realtime and REST), JWT token authentication, presence, history and rewind, batch publishing, and the @ably/chat 1.x SDK.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TerminalSkills/skills1722026년 10월 14일 업데이트

TerminalSkills의 스킬 모두 보기

이 스킬의 문제 신고