'convex' 검색 결과

Identify which Convex functions drive spending by combining data read per call with call volume. Use deployment evidence or query structure to explain how costs grow with usage and data size, then suggest the cheapest fix for each driver.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find functions that drive Convex spending
• Assess cost growth as data and traffic increase
• Estimate future cost drivers before traffic arrives

Plan changes to Convex data structures while an app keeps running. The skill guides staged deployments, updates to existing records, and verification for required fields, type changes, and table restructuring using @convex-dev/migrations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding required fields to existing records
• Changing field types or renaming fields
• Splitting or merging existing tables

Check the Convex version installed in a project, then consult matching documentation and package type definitions to confirm API details, available exports, and command options before implementing changes or fixing version mismatch errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check an API against the installed Convex version
• Investigate missing exports or changed command options
• Find documentation for an installed component

Guide for when to use and when not to use return validators in Convex functions. Use this skill whenever the user is writing Convex queries, mutations, or actions and needs guidance on return value validation. Also trigger when the user asks about Convex type safety, runtime validation, AI-generated Convex code, Convex AI rules, Convex security best practices, or when they're debugging return type issues in Convex functions. Trigger this skill when users mention "validators", "returns", "return type", or "exact types" in the context of Convex development. Also trigger when writing or reviewing Convex AI rules or prompts that instruct LLMs how to write Convex code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guide for when to use and when not to use return validators in Convex functions. Use this skill whenever the user is writing Convex queries, mutations, or actions and needs guidance on return value validation. Also trigger when the user asks about Convex type safety, runtime validation, AI-generated Convex code, Convex AI rules, Convex security best practices, or when they're debugging return type issues in Convex functions. Trigger this skill when users mention "validators", "returns", "return type", or "exact types" in the context of Convex development. Also trigger when writing or reviewing Convex AI rules or prompts that instruct LLMs how to write Convex code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guide for when to use and when not to use return validators in Convex functions. Use this skill whenever the user is writing Convex queries, mutations, or actions and needs guidance on return value validation. Also trigger when the user asks about Convex type safety, runtime validation, AI-generated Convex code, Convex AI rules, Convex security best practices, or when they're debugging return type issues in Convex functions. Trigger this skill when users mention "validators", "returns", "return type", or "exact types" in the context of Convex development. Also trigger when writing or reviewing Convex AI rules or prompts that instruct LLMs how to write Convex code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guide for when to use and when not to use return validators in Convex functions. Use this skill whenever the user is writing Convex queries, mutations, or actions and needs guidance on return value validation. Also trigger when the user asks about Convex type safety, runtime validation, AI-generated Convex code, Convex AI rules, Convex security best practices, or when they're debugging return type issues in Convex functions. Trigger this skill when users mention "validators", "returns", "return type", or "exact types" in the context of Convex development. Also trigger when writing or reviewing Convex AI rules or prompts that instruct LLMs how to write Convex code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diagnoses slow Convex features by tracing database reads, live-update subscriptions, competing writes, and function limits. Uses runtime findings or code inspection to guide fixes, checks related functions, and verifies that results remain unchanged.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow Convex pages or features
• Reducing excessive database reads and live-update costs
• Diagnosing write conflicts and repeated mutation retries

Find a domain for a Convex app by exploring suitable names and checking availability and annual prices. After explicit approval, register the chosen domain, connect it to the deployment, and update authentication settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding domain names that fit an app idea
• Comparing available domains and annual prices
• Buying and connecting an approved domain

Check pinned Convex components against recommended versions, then upgrade them individually with user approval. Each update includes migration steps, type checking, and a build check, with rollback if validation fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking Convex components for outdated versions
• Reviewing migration details before approving an update
• Upgrading components with build checks and rollback

Maintain data retention in ClawHub's Convex tables by classifying each table, defining expiration fields, and bounding cleanup jobs. Guide changes to temporary data and expired authentication records, with focused tests and runtime verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classify retention policies for new tables
• Add expiration fields and indexed cleanup
• Update scheduled jobs with bounded deletion batches

Share the current coding session transcript with the Convex team, with explicit consent, for an AI review that identifies unclear setup instructions, tooling failures, and successful patterns to help improve the quickstart system.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing where an agent got stuck during setup
• Reporting tooling failures in a coding session
• Sharing successful setup patterns with the Convex team

Identifies custom Convex code that an existing component or built-in feature could handle. After the current task is complete, it suggests one matching option, explains the connection to the code, and provides installation guidance without installing automatically.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing custom scheduled jobs for a suitable component
• Finding components for rate limits or shared counters
• Considering existing options for long-running workflows

Set up Convex snapshot backups and test recovery by restoring into a temporary environment. Verify table counts and sample records, then define a backup schedule, retention period, and production recovery instructions based on acceptable data loss.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting a backup schedule based on acceptable data loss
• Testing snapshot recovery in a temporary environment
• Preparing production recovery instructions

Capture production errors from Convex server functions and browser interfaces in your own deployment. Redact sensitive information before storage, inspect recent failures, monitor new events, and optionally route recurring errors into a workflow that opens fix pull requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collect server and browser errors in one deployment
• Inspect production failures with sensitive details redacted
• Monitor newly recorded errors

Investigate errors and health in a running Convex app using plain-language questions. It summarizes relevant logs with counts and representative evidence, checks deployment timing, and provides dashboard links when possible for verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing recent errors by function and message
• Checking failures that appeared after a deployment
• Tracing a specific failed function call

Audit and fix four access-control problems in Convex apps: impersonation, missing ownership checks, sensitive data exposure, and writes into another user's container. Check the authentication foundation first, then verify changes with TypeScript.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether callers can impersonate another user
• Restrict document access to its owner
• Review queries that expose sensitive data

Review 72 hours of Convex deployment health events and trace read limits or conflicting writes to the responsible code. Receive prioritized performance, cost, and reliability findings with runtime evidence, source locations, and concrete fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating read limits and large table scans
• Tracing conflicting writes to shared records
• Reviewing deployment performance and cost issues

Explain an existing Convex app by mapping its tables, relationships, public and internal functions, authentication, and external connections. Trace representative requests through the data flow to provide a readable architecture overview without modifying the app.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understand an unfamiliar Convex app
• Map table relationships and data access paths
• Identify public and internal functions

Run convex-doctor static analysis, interpret findings, and fix issues across security, performance, correctness, schema, and architecture categories. Use when running convex-doctor, fixing convex-doctor warnings or errors, improving the convex-doctor score, or when asked about Convex code quality, static analysis, or linting Convex functions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Manage ClawHub Convex production data migrations from implementation and testing through deployment, execution, verification, and temporary code removal, with dry runs and explicit user approval before destructive changes and cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Backfilling fields in production data
• Removing obsolete fields or table data
• Repairing ownership and relationships

Rehearse Convex schema changes on a deployment seeded with a production snapshot. Populate existing records, verify data and behavior, then repeat the proven sequence in production with explicit approval, keeping the snapshot available for rollback.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rehearse schema changes using a copy of production data
• Populate existing records before requiring a new field
• Verify migrated data and app behavior before production

Build, extend, validate, and publish a ChatGPT Sites application whose durable database and backend functions run on Convex. Use when a user invokes $codex-sites-convex, selects this skill from the skill picker, asks for a ChatGPT Site backed by Convex, or asks to add Convex data, realtime queries, mutations, authentication, files, schedules, or actions to an existing ChatGPT Sites project.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build, extend, validate, and publish a ChatGPT Sites application whose durable database and backend functions run on Convex. Use when a user invokes $codex-sites-convex, selects this skill from the skill picker, asks for a ChatGPT Site backed by Convex, or asks to add Convex data, realtime queries, mutations, authentication, files, schedules, or actions to an existing ChatGPT Sites project.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.