openclaw

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.

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

Create and manage Axiom alert rules and notification destinations through its API. Connect alerts to email, Slack, or webhooks, check monitor history, and adjust thresholds and evaluation schedules to address excessive or missing alerts.

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• Set up error alerts and notification destinations
• Tune monitors that send too many alerts
• Investigate monitors that never trigger

Add sign-in to a Convex app with @convex-dev/auth. The skill sets up passkeys by default, generates authentication keys, connects server and client settings, adds a sign-in interface and route protection, and verifies a real login.

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• Adding passkey sign-in to a Convex app
• Setting up Google OAuth or password sign-in on request
• Configuring authentication keys and environment variables

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.

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

Create tests for Convex functions with convex-test and vitest, using a backend that runs in memory. Check arguments, return values, authentication, indexes, errors, and scheduled functions without relying on real time or network access.

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• Test Convex function arguments and return values
• Check behavior with different authentication identities
• Cover errors as well as successful requests

Deploy ClawHub to production or publish a stable CLI release to npm. Check prerequisites for the exact commit, run the release workflow, and verify the deployed behavior or published version with traceable release evidence.

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• Deploy ClawHub to production
• Publish a stable ClawHub CLI version
• Check release prerequisites for a specific commit

Configure Convex deployment environment variables for secrets such as API keys, read them from application actions, and check the configured values while keeping secrets out of source code and Git.

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• Setting API keys for a Convex deployment
• Reading secrets from actions
• Managing separate values for each deployment

Wait for the next Convex development error, production error, or feature request, then respond with investigation, a fix, or implementation. The skill combines local logs and deployment events, using polling when blocking tools are unavailable.

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• Waiting for the next error during development
• Investigating and fixing newly detected production errors
• Starting implementation when a feature request arrives

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.

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• 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

Connect a domain you already own to a Convex app. The skill guides DNS records and domain verification, updates authentication settings for the new address, and checks that the app is served over HTTPS.

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• Connecting an owned domain to a Convex app
• Preparing DNS records and domain verification
• Updating authentication settings after a domain change

Investigate production incidents and bugs using logs, metrics, and code evidence. The skill guides hypothesis testing, root cause analysis, fix validation, and reusable investigation notes, with access to configured observability tools such as Axiom.

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• Investigate production outages and rising error rates
• Trace causes using logs, metrics, and code
• Reproduce bugs and validate minimal fixes

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.

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

Review and triage ClawHub issues and pull requests using current GitHub information, related code, tests, and visual evidence. Produce a maintainer review explaining the fix, alternatives considered, supporting evidence, and remaining uncertainty.

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• Review a ClawHub bug fix
• Verify visual evidence for UI changes
• Compare a proposed fix with alternatives

Review code in a convex/ directory for security, access control, input and output validation, performance, and schema design. Receive findings grouped by severity, with explanations of each issue and suggested fixes before release.

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• Reviewing Convex functions before release
• Checking authentication and resource access controls
• Finding inefficient queries and missing validation

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.

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

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.

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

Design and build Axiom dashboards from logs or metrics, the numerical measurements of system behavior. Create charts, filters, and layouts for monitoring and reporting, or migrate existing Splunk and Grafana panels while validating queries against available data.

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• Build a service health monitoring dashboard
• Create interactive filters for investigating logs
• Migrate dashboards from Splunk or Grafana

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.

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

Assess an existing Convex app and turn the findings into a prioritized improvement plan. With explicit approval, update outdated components, address production error monitoring gaps, and reassess the app to show how its score changed.

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• Reviewing an existing Convex app before release
• Updating outdated Convex components
• Adding production error monitoring

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.

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

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.

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

Turn plain-language app ideas into Convex backend designs and code. Cover data structure, authentication, live updates, file storage, scheduled tasks, and LLM features, with type checking and deployment verification before treating the backend as complete.

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• Building a backend from an app idea
• Adding authentication and file uploads
• Designing live collaboration or multiplayer features

Build reusable Convex backend components with their own database tables and a small API, the functions an app calls. It guides component structure, app integration, authentication boundaries, and checks for generated code and type errors.

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• Adding a local component to an existing Convex app
• Extracting reusable backend logic
• Building an integration with its own tables

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.

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