인프라·DevOps 스킬

Prepare and publish a Plannotator release with contributor credits, coordinated version updates, ordered builds, and tag-triggered publishing. The workflow also checks package contents, security scan results, and evidence showing how release files were built.

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• Draft release notes with contributor credits
• Update versions consistently across package files
• Check builds and package contents before release

Explore and query measurements stored in Axiom MetricsDB. The skill discovers metrics and tags, checks measurement types and units, and builds MPL queries, Axiom’s metrics query language, to retrieve values and aggregate them over a chosen period.

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• Explore available metrics and tag values
• Check metrics for a specific service or host
• Aggregate values over a selected time range

Deploy and operate Vercel projects from the command line. Manage environment variables and domains, investigate build failures with logs and metrics, and handle platform settings while checking which project and team each operation targets.

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• Deploy preview and production versions
• Manage environment variables, domains, and DNS
• Investigate build failures and performance issues

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.

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

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

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 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

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

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

Publish a local Convex project to a shareable *.convex.app URL. The skill deploys the backend, builds and uploads the static web app, and guides custom domain options after publication.

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• Publish a local Convex app
• Deploy the backend and web app together
• Get a live URL to share

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

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

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

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

Analyze Axiom data ingestion and query usage to identify unused columns and field values. Build cost dashboards and spike monitors, then summarize recommendations for dropping or sampling data with estimated savings.

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• Find unused data that contributes to Axiom costs
• Track ingestion trends and projected spending
• Set up alerts for ingestion and query cost spikes

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.

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

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

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

Helps prevent changes to the wrong Convex environment by identifying and announcing the target before each operation. Requires fresh consent for production actions and enforces a session-wide read-only mode when requested.

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• Checking the target environment before a Convex deployment
• Requiring explicit consent for each production operation
• Keeping a session read-only during an investigation

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

Guide CI work for Worktrunk, a Rust tool for managing Git worktrees. Adds project rules for running tests, checking Codecov coverage, diagnosing failures, reviewing pull requests, and maintaining toolchain and CI versions.

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• Investigating failed CI checks and coverage gaps
• Reviewing pull requests against project rules
• Updating Rust toolchain and CI version pins

Guides a Worktrunk release from testing and change review to version updates, release notes, tagging, and publication checks. Includes reviews of potential data loss, documentation accuracy, and contributor credits before the release is published.

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• Preparing a new Worktrunk release
• Writing release notes from code changes
• Reviewing data-loss risks before release

Build a single-page operations guide for engineers on call, the people assigned to respond to service issues. Organize service dependencies, alert thresholds, dashboard links, copyable commands, duty rotations, and an incident response checklist.

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• Bring service operations information onto one page
• Document alert severity, thresholds, and procedure links
• Prepare commands and checklists for incident response