Cloud, CI/CD, monitoring, and deployment (6.9K skills)
Prepares an OpenWork Cloud/Den demo on Daytona with Acme Robotics sample data. It checks service health and sign-in, keeps the sandbox active, and returns URLs and credentials ready to share with demo participants.
Set up and troubleshoot Daytona sandbox environments, which provide isolated spaces for running applications. The skill covers CLI authentication, persistent desktop and server sandboxes, diagnostic logs, shared secrets storage, snapshot refreshes, and environment deletion.
Create disposable OpenWork previews for hands-on review of app and Den changes. Choose local, Daytona, or Freestyle environments as supported, reopen existing previews, update supported frontend changes while preserving progress, and reset or stop environments when finished.
Load API keys, tokens, and other secrets from Infisical into a shell or a specific command. The skill covers finding secret names, checking availability, and passing values to commands without displaying or logging them.
Publish an OpenWork version through Git tags and GitHub Actions without creating version-update commits. Review outstanding fixes, monitor builds and publication, check release assets, and recover failed distribution steps using procedures that protect already published desktop installers.
Customize a project's Docker environment with personal tools such as vim, ripgrep, or jq. The skill prepares user override files, adds requested packages, and provides rebuild commands while keeping personal configuration out of Git.
Prepare a software release from the dev branch by turning commits into a changelog, updating the version, and creating a pull request to main. The workflow also covers release tags, branch synchronization, and Homebrew package updates.
Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Covers single-instance setups, workers for parallel execution, secret management, deployment checks, updates, backups, and restoration.
Manage which n8n instance an MCP session targets when working across production, staging, teams, or clients. Guides instance switching, checks before credential changes, and recovery from unexpected missing data or ambiguous credential writes.
Retry commands that fail with network errors through proxychains4, a tool that routes connections through a proxy. The skill also guides proxy configuration and troubleshooting when downloads, package installations, or Git operations cannot connect.
Prepare a daily NemoClaw maintenance plan by ranking pending pull requests and issues, checking work carried over from earlier versions, and selecting release targets. Produce a queue with owners, next actions, and merge readiness.
Analyze saved NemoClaw CI timings to rank consistently slow command-line tests and compare base-image publication with reuse. Read-only analyzers report execution times, runner queues, and sample coverage as bounded JSON output.
Close a NemoClaw maintenance day by consolidating documentation and changelog updates, reviewing merged and unfinished work, and preparing a release handoff. When requested, pass the version to the dedicated skill that verifies and creates the release tag.
Prepare and create a signed NemoClaw release tag for a requested version, then monitor release workflows, documentation, and published images. It records maintainer decisions and drafts an announcement after verifying the remote tag.
Classify a failed NemoClaw GitHub Actions job using logs with sensitive information hidden and output size limited. Optionally inspect saved artifacts to identify failure patterns and gather evidence for further investigation.
Explain which process holds a port or file lock, what started it, and what keeps it running. Uses the witr CLI to trace services, containers, and parent processes without stopping or changing anything.
Guide a macOS app release through versioning, signing, Apple notarization, update feed checks, and Homebrew updates. Includes CodexBar release scripts, published asset verification, and preparation of the next unreleased version.
Prepare screenpipe component releases by updating versions and dependency lock files, running required build checks, and triggering GitHub Actions. Verify build results and release artifacts, then hand public app publication over to a person.
Check Screenpipe's process, API, screen capture, and audio transcription status. Inspect logs, storage, resource usage, and processing metrics to identify problems, then report the findings with relevant errors and suggested fixes.
Reconstruct an incident timeline from recorded screens and conversations, supported by available logs and monitoring. Organize symptoms, changes, response actions, and recovery evidence while distinguishing observed facts from suspected causes.
Prepare a stable Paseo release by following the documented release flow and completion checklist. Use it for a fresh patch or minor release, or to promote a beta version to stable.
Prepare a beta release of Paseo by following the project's release documentation. The skill directs the agent through the beta workflow and its completion checklist, keeping the task tied to the documented process.
Analyze configuration and operational metrics for Managed Service for Apache Airflow environments. Use CPU, memory, disk, restart, and workflow parsing data to recommend resource sizing and configuration changes based on observed bottlenecks and environment health.
Builds an Apigee proxy that inspects an agent’s model requests and responses through Google Cloud Agent Gateway. It measures token usage by model, identifies callers, and can add prompt screening or a cache for similar prompts.