Cloud, CI/CD, monitoring, and deployment (6.8K skills)
Plan task handoffs between agents on different machines using Git to share YAML task and result files. This implementation specification describes validation, execution limits, result reporting, and GitHub Issues as an additional route for urgent requests.
Design notification routing that sends agent messages to channels by topic, such as security, releases, or daily digests. Use shared configuration and message tags to keep important alerts visible among routine updates.
Set up file-based coordination between agent teams on different machines or across organizations. The skill creates connection settings, installs bundled sync scripts, and can initialize a shared Git repository for exchanging team status.
Add checks to npm release workflows for version formats, authentication tokens, delayed package availability, and draft releases. The skill also covers preventing build scripts from unexpectedly changing release versions.
Guide npm package releases through dependency checks, version alignment, publishing procedures, and post-release smoke tests, which are basic installation and operation checks. It also documents fallback steps for failed automation and project-specific rules about who initiates releases.
List GitHub Actions workflows with a script that lets you choose the page size and page number. Get JSON containing the total count, workflow names, file paths, states, timestamps, and links for inspection or further processing.
Analyze gh-aw execution traces, which record individual processing steps, to investigate slow or failing workflows. Using local JSONL files or telemetry backends, the skill checks timing, errors, missing attributes, and trace connections to support focused improvements.
Troubleshoot npm download failures on Microsoft's corporate network or VPN using the 1ES public package feed. It covers registry access, approved proxies, and certificate trust, preserving locked dependency versions and reporting network blockers when recovery fails.
Helps agents work within gh-aw tool restrictions by checking the allowlist, diagnosing denied calls, and choosing permitted alternatives. It guides agents to complete available work and report specific limitations before repeated denials end the session.
Investigate failed gh-aw workflows using existing logs and audit reports. Identify missing tools, authentication failures, permission issues, network restrictions, and timeout causes, then guide fixes through source review and controlled validation.
Configure Skillz in Docker to expose SKILL.md instructions, resources, and helper scripts as tools for MCP clients, applications that connect to tool servers. Covers skill folder layouts, ZIP packaging, environment variables, and workflow integration.
Set up gh-aw, a GitHub CLI extension that turns Markdown workflows into GitHub Actions. The skill provides installation options and points agents to further instructions for creating, updating, debugging, and optimizing those workflows.
Routes requests to design, create, update, debug, or upgrade GitHub Agentic Workflows to the appropriate instructions. It helps the agent select a workflow-specific procedure and apply any additional rules defined for the repository.
Update the gh-aw-firewall version used by gh-aw, rebuild generated files, and review release notes and configuration schemas, which define valid settings. It guides related code and test updates while identifying follow-up work that remains.
Analyze token usage and AI costs in GitHub Agentic Workflows, identify expensive steps and budget or timeout failures, and develop prioritized improvements checked against the original workflow’s output quality.
Guides Apache OpenDAL release managers through preparation, release candidates, verification, voting, and publication. It tracks the current stage, checks external systems, and distinguishes core, candidate, and package versions when deciding the next release action.
Inspect live development or staging traffic to find an identifier that distinguishes one developer’s requests across services. Produce a matching mirrord HTTP filter and a report showing where the identifier survives, disappears, or cannot be observed.
Set up mirrord preview environments that run changed services in isolated Kubernetes pods. Configure traffic filters, share previews through HTTPS links, and connect previews to pull request workflows so teams can review changes using shared cluster dependencies.
Configure mirrord to route selected Temporal tasks to a local worker. Generate Kubernetes configuration files, connection settings, and task filters, then check that the settings agree and troubleshoot common setup problems.
Set up mirrord and run a local application against a Kubernetes target. Follow installation and first-session steps for the CLI, VS Code, or IntelliJ, then verify logs, remote environment variables, and network connectivity.
Configure mirrord to route selected Kafka messages to a local application. Generate Kubernetes resource files and matching message filters, check their consistency, and troubleshoot connection or splitting issues, including Kafka Streams and AWS MSK IAM setups.
Set up one mirrord-up.yaml file to debug several related services locally at the same time. Define each application’s command, Kubernetes target, environment settings, and traffic mode, then manage the sessions together with mirrord up.
Install and configure mirrord Operator for team use on Kubernetes. The skill covers licensing, access permissions, feature settings, internal registries, and offline deployments, with guidance for upgrades and troubleshooting across supported cluster platforms.
Create and validate mirrord.json settings for isolated database copies used in development and testing. Configure connection sources, copying scope, migrations, and authentication so experiments can run without affecting shared databases.