Cloud, CI/CD, monitoring, and deployment (6.8K skills)
Guide Peekaboo releases through GitHub Actions, from version and changelog preparation to a publication rehearsal and authorized release. Verify published downloads, npm packages, Homebrew details, and follow-up updates against the hosted build.
Run demanding scientific work on SSH compute hosts using direct execution or Slurm, a cluster job scheduler. Choose an enabled host, submit background jobs, check progress, collect outputs, and continue with analysis and artifact publication.
Prepare reproducible setup and removal instructions for software environments on Open-Science SSH hosts, including Slurm clusters. Check available tools, define named activation settings, and validate the environment where jobs run after the user installs it.
Create an interactive bash script that guides people through manual setup or migration tasks. It opens relevant pages, explains each action, collects values, and saves settings to .env files or GitHub secrets with confirmation steps.
Prepare a release recap from changes merged since the last release tag. Group work by author, count features, bug fixes, and maintenance tasks, and post the reviewed summary to Slack for final quality checks.
Prepare and publish an app built from an existing reference, covering release checks, production services, domain and email records, payments, sign-in, monitoring, and mobile distribution. It records results and requires user approval before going live.
Add OpenTelemetry tracing to frontend and backend flows. Connect execution records across services and background jobs, record phase durations and entity IDs, and mark failures so developers can investigate slow or broken operations.
Run the Macro app on Cursor Cloud, apply Rust and frontend edits, and check the results in a browser. Includes guidance for signing in, restarting services, and diagnosing common startup or login problems.
Add a deployable service by following a structured guide for application code, infrastructure, configuration, and related integrations. It tracks applicable steps, reports local verification results, and leaves deployment and secret creation as explicit follow-up work.
Prepare and validate a version update for @macro-inc/sdk, then track its automatic release after an authorized merge. Verify the published version and npm distribution label, and report whether the release is prepared, publishing, failed, or published.
Manage Mintlify documentation sites through its API. Trigger rebuilds, retrieve deployment status, domains, and navigation details, and create or manage preview deployments to review documentation changes before publishing them.
Diagnose a Diverga installation by checking plugin registration, skill and cache synchronization, hooks, configuration, API key setup, and research project state. Receive pass, warning, or error results with suggested repair commands, without modifying files.
Document an incident with a sourced timeline, clear user impact, and analysis that separates symptoms, triggers, and underlying causes. Produce a blameless review with action items that specify responsible teams, deadlines, and checkable completion criteria.
Helps configure Playwright tests in automated CI/CD pipelines across major providers. Covers splitting tests across runners, Docker execution, shared login setup, code coverage, and saving reports and debugging artifacts to investigate failures.
Use Wireshark to capture and filter network packets, the small units of transmitted data. Examine saved traffic, reconstruct conversations, and review statistics to investigate connection problems, performance issues, or suspicious activity and document findings.
Analyze JSON, syslog, or Nginx logs to group similar errors, count occurrences, and identify busy error periods. Filter by severity or time range, then view the report in the terminal or export it as JSON.
Create bash scripts for routine Linux administration, including backups, resource monitoring, user management, and log analysis. Templates also cover scheduled tasks, file cleanup, encryption, and network checks, providing starting points for automating recurring maintenance.
Provides GitHub Actions and GitLab CI templates for automating tests, builds, and releases. It adapts configurations to project types and covers caching, parallel jobs, credential handling, and controls for production deployments.
Investigate slow PostgreSQL and MySQL queries using execution plans, which show how queries run, and performance measurements. Develop index changes, SQL rewrites, and configuration adjustments, then validate their effects with measurements and monitoring.
Organize software releases on GitHub, from version suggestions and release notes to testing, builds, and deployment. Coordinate multiple packages or repositories, roll changes out in stages, and configure rollback to restore an earlier release when problems occur.
Analyze teams of agents in Claude Flow to find delays in communication, processing, memory, and network access. Generate performance reports, compare runs, and review recommendations or apply available automatic optimizations.
Deploy teams of AI agents on Flow Nexus and automate development, research, or data processing workflows. Define step dependencies and event triggers, assign suitable agents, and monitor progress, queues, and execution history.
Manage Flow Nexus accounts, isolated cloud environments for running code, and application deployment. The skill also covers publishing templates, tracking credits and payments, submitting coding challenges, managing stored files, and checking execution logs.
Create and improve GitHub Actions workflows for automated testing and deployment. Coordinate multiple AI agents to review pull requests, investigate failed runs, scan for security issues, and manage releases across repositories.