持續整合/部署
13574 skills in DevOps > 持續整合/部署
moonbit-agent-guide
Guide for writing, refactoring, and testing MoonBit projects. Use when working in MoonBit modules or packages, organizing MoonBit files, using moon tooling (build/check/test/doc/ide), or following MoonBit-specific layout, documentation, and testing conventions.
HyperShift OpenStack Provider
Use this skill when you need to deploy HyperShift clusters on OpenStack infrastructure with proper flavor selection and network configuration
regression-analysis-modeling
Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts, demand predictions, or any numerical target variables. Includes automated feature engineering, model comparison, and visualization with Chinese language support.
delegation-prompt-crafter
Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.
clarify
This skill should be used when the user asks to "clarify requirements", "refine requirements", "specify requirements", "what do I mean", "make this clearer", or when the user's request is ambiguous and needs iterative questioning to become actionable. Also trigger when user says "clarify", "/clarify", or mentions unclear/vague requirements.
ml-cv-specialist
Deep expertise in ML/CV model selection, training pipelines, and inference architecture. Use when designing machine learning systems, computer vision pipelines, or AI-powered features.
Prow Job Analyze Test Failure
Analyze a failed test by inspecting the code in the current project and artifacts in Prow CI job. Provide a detailed analysis of the test failure in a pre-defined format.
Resource Analysis
Analyze system resource usage data from sosreport archives, extracting memory statistics, CPU load averages, disk space utilization, and process information from the sosreport directory structure to diagnose resource exhaustion, performance bottlenecks, and capacity issues
dignified-python
Python coding standards with automatic version detection. Use when writing, reviewing, or refactoring Python to ensure adherence to LBYL exception handling patterns, modern type syntax (list[str], str | None), pathlib operations, ABC-based interfaces, absolute imports, and explicit error boundaries at CLI level. Also provides production-tested code smell patterns from Dagster Labs for API design, parameter complexity, and code organization. Essential for maintaining erk's dignified Python standards.
HyperShift Azure Provider
Use this skill when you need to deploy HyperShift clusters on Microsoft Azure with proper identity configuration and resource management
Prow Job Analyze Install Failure
Analyze OpenShift installation failures in Prow CI jobs by examining installer logs, log bundles, and sosreports. Use when CI job fails "install should succeed" tests at bootstrap, cluster creation or other stages.
HyperShift PowerVS Provider
Use this skill when you need to deploy HyperShift clusters on IBM Cloud PowerVS with proper processor configuration and resource management
Prow Job Extract Must-Gather
Extract and decompress must-gather archives from Prow CI job artifacts, generating an interactive HTML file browser with filters
HyperShift KubeVirt Provider
Use this skill when you need to deploy HyperShift clusters on existing Kubernetes clusters using KubeVirt virtualization
clarification-protocol
Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements.
Must-Gather Analyzer
Analyze OpenShift must-gather diagnostic data including cluster operators, pods, nodes, and network components. Use this skill when the user asks about cluster health, operator status, pod issues, node conditions, or wants diagnostic insights from must-gather data. Triggers: "analyze must-gather", "check cluster health", "operator status", "pod issues", "node status", "failing pods", "degraded operators", "cluster problems", "crashlooping", "network issues", "etcd health", "analyze clusteroperators", "analyze pods", "analyze nodes"
ci-iteration
This skill should be used when running CI checks iteratively and fixing failures. Use when executing make targets (fast-ci, all-ci, ci), iterating on lint/format/type/test errors, or needing the devrun agent pattern for pytest/ty/ruff/prettier/make/gt commands.
assumption-challenger
Identify and challenge implicit assumptions in plans, proposals, and technical decisions. Use when strategic-cto-mentor needs to surface hidden assumptions and wishful thinking before they become costly mistakes.
review
Interactive markdown review with web UI. Use when: - User says "review this", "check this plan", "/review" - User wants to give feedback on a plan or document - User says "let me review", "피드백", "검토해줘" - User specifies a file path to review (e.g., "review /path/to/file.md")
session-inspector
This skill should be used when inspecting, analyzing, or querying Claude Code session logs. Use when users ask about session history, want to find sessions, analyze context usage, extract tool call patterns, debug agent execution, or understand what happened in previous sessions. Essential for understanding Claude Code's ~/.claude/projects/ structure, JSONL session format, and the erk extraction pipeline.