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openstack-agentic-skills
openstack-agentic-skills enthält 6 gesammelte Skills von canonical, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.
Skills in diesem Repository
Prepare and perform deterministic all-rubric code reviews for working-tree changes, branch/range diffs, GitHub pull requests, or complete repositories. Use when the user asks for a code review.
Workflows for LXD containers and VMs: launch Ubuntu instances, mount host directories and storage volumes, and define reusable profiles and networks.
Use when diagnosing failed Sunbeam CI runs, analyzing sosreport tarballs, juju status files, sunbeam CLI logs, or investigating multi-node OpenStack deployment failures on Canonical K8s
Sunbeam/OpenStack lab networking knowledge for new joiners. Use when: explaining NICs, bonds, fabrics, VLANs, switches, routers, bridges; configuring MAAS interfaces for a new node; debugging missing Juju spaces; onboarding to the Sunbeam lab network; creating network diagrams or PPTs; understanding why a charm deployment fails due to network bindings. Covers: lab rack layout, management-fabric vs data-fabric, bondm/bondd/bond2/br-bond2 structure, VLAN IDs 3400-3409, Juju space to subnet mapping, step-by-step MAAS CLI commands.
Generate a 4-panel matplotlib chart from rally-ci-churn fio benchmark result files. Use when you have result files in the results/ directory and want to visualize throughput scaling, IOPS, latency (avg/P99), and scaling efficiency. Triggers: plot results, chart fio, visualize benchmark, fio chart, throughput chart.
Extracts oslo.config options from OpenStack Cinder volume driver Python source code and generates driver-spec YAML files for sunbeam-cinder-factory. Use when adding new storage vendor support, updating existing driver specs from upstream Cinder, or batch-generating specs for all Cinder drivers. Handles AST parsing, type classification, secret detection, protocol detection, enum mapping, and type_override generation.