Cloud, CI/CD, monitoring, and deployment (6.8K skills)
Work in a local or remote computer environment whose screen you can watch. Run commands, transfer files, launch coding agents, move signed-in app sessions, and share the host computer’s network when needed.
Prepare a Python SDK release candidate in a separate working directory, check version metadata and public API compatibility, and produce one local commit with a review report for the release handoff.
Keep FastGPT build and test workflows aligned across GitHub Actions and Forgejo Actions. Adapt registry destinations, credentials, proxy settings, and platform-specific steps so the corresponding workflows support the internal network environment.
Deploy FastGPT on your own server using its official installation script and Docker Compose, which runs its services together. Check service health and access, investigate deployment problems, and receive the access URL, initial login details, and next steps.
Set up and troubleshoot a local agentmemory server by checking MCP connections, authentication, ports, and environment settings. Understand which optional memory features require additional configuration, model downloads, or token usage before enabling them.
Publish a Playground UI snapshot, a version for testing branch changes, through the npm release workflow. The skill checks publication results, updates the platform frontend's package versions and lockfile, and opens a pull request.
Publish a Mastra preview package from a pull request or branch. Check the exact commit, confirm publication, monitor the release workflow, and report verified npm tags with a ready-to-copy installation command.
Diagnose frozen or slow Qwen Code sessions on the current machine by checking CPU and memory usage, process states, child processes, network connections, and debug logs. Receive a diagnostic report with suggested next steps, without stopping processes.
Manage organization-wide Atlassian administration, including user onboarding and removal, group permissions, sign-in settings, and app integrations. It provides workflows for access reviews, configuration changes, operational checks, and recovery planning, primarily through admin consoles and REST APIs.
Generate an operational runbook template from a service name. Provide sections for starting, stopping, health checks, incident handling, maintenance, and rollback, so teams can add service-specific commands and build consistent operating procedures.
Design service monitoring dashboards and improve existing alert configurations. Generate Grafana dashboard files and documentation, analyze noisy or duplicate alerts and coverage gaps, and outline how metrics, logs, and request traces fit together.
Define service reliability targets, choose measurements that reflect user experience, and calculate error budgets—the failures a target allows. Generate alert thresholds and review existing definitions for unrealistic targets, unclear metrics, and missing response policies.
Design and operate shared secret storage with HashiCorp Vault or cloud services. The skill guides access policies, automated credential rotation, temporary credentials, audit analysis, and secret delivery to applications and deployment pipelines.
Build and review Kubernetes Operators, controllers that keep custom resources in their desired state. Included tools check resource definitions and Go reconciliation code, then assess operational capabilities and suggest improvements.
Plan database, service, and infrastructure migrations with phased steps, compatibility checks, and rollback procedures for returning to the previous system. Define risks and validation checkpoints to guide transitions with minimal disruption to business operations.
Plan controlled failure experiments to uncover system weaknesses. Define normal operating metrics, estimate affected users and reliability risk, set abort and recovery conditions, and turn experiment results into a structured review with follow-up actions.
Design Google Cloud infrastructure around application needs, scale, and budget. Get service recommendations, cost estimates, infrastructure configuration files, and deployment guidance, with support for automated delivery and security configuration reviews.
Organize responses to service outages and degraded performance, from initial assessment through recovery review. Classify severity, reconstruct event timelines, draft stakeholder updates, and create response guides and follow-up actions based on incident findings.
Plan Azure infrastructure around application needs, scale, and budget. Generate Bicep templates, files that define cloud resources as code, then review estimated costs, configure deployment pipelines, and check security settings before production.
Inspect project files to identify languages and build tools, then generate starter GitHub Actions or GitLab CI workflows. Set up automated checks, caching, and deployment stages that reflect the project’s commands and target environments.
Create CI/CD configurations, which automate build, test, and deployment steps, alongside Terraform infrastructure templates and Kubernetes deployment files. Generate health-check and rollback instructions to review before applying changes to cloud infrastructure or application environments.
Manage Microsoft 365 setup, bulk user onboarding and offboarding, licenses, and security reviews. Generate PowerShell scripts and setup plans, with workflows for checking inputs, reviewing changes, and validating results before applying them across an organization.
Design AWS infrastructure around application needs, traffic, budget, and team experience. Generate templates that define infrastructure as code, compare service choices and estimated costs, and guide deployment, monitoring, and cost reduction.
Turn a validated build sheet into four API request files and a resumable launch script for Claude Managed Agent. Check the files for exposed keys before users launch with their own Anthropic key.