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Found 3,304 Skills
PR and MR workflows for GitHub (gh) and GitLab (glab). Creation, review comment handling, thread resolution, review state queries, merging, cost-aware bot review rounds (GitHub: Copilot, CodeRabbit), and Copilot code review configuration (rulesets, custom instructions, billing). Use when creating PRs/MRs, addressing review feedback, resolving threads, looping bot reviews, checking approvals, querying PR data, configuring Copilot reviews, or configuring gh/glab read-only allowlists. Not for git commits (git-commit), CI/CD status (git-ci), local pre-push CodeRabbit CLI reviews (coderabbit), or general git ops
Provides comprehensive guidance for Spring Cloud microservices including service discovery, configuration management, load balancing, circuit breakers, API gateways, and distributed tracing. Use when the user asks about Spring Cloud, needs to build microservices, implement service discovery, or work with Spring Cloud components.
As a standard S0 pre-skill for larger page workflows like `hiui-page-workflow`, it focuses on requirement refinement for B-end back-office systems and before HiUI page generation. It transforms vague or abstract back-office/management/operation/configuration/approval workflow requirements into executable product solutions, MVP scopes, user flows, business rules, traceable page inventories, product PRDs, global generation contexts, page-level prompts, and HiUI handoff packages. It is suitable for clarifying back-office product ideas, converting rough requirements into PRDs or product solutions, breaking down work surfaces such as lists/details/editing/configuration, defining role permissions/data permissions/state machines/audit rules, and supplementing permission matrices, state transition tables, field dictionaries, exception and audit matrices, batch/import-export specifications, and legacy system transformation and release strategies when needed; it also acts as a B-end product expert to provide judgments including business value decomposition, priority suggestions, solution trade-offs, multi-tenant/version/activation models, master data and system boundaries, anti-pattern identification and risk prompts, continuously turning vague B-end requirements into implementable inputs; when requirements arise in existing projects/repositories, it is also used to perform context-aware requirement refinement combining the current repository's pages, modules, interfaces, types, and documents.
Related features and tasks — such as purchase flows, onboarding, or multi-step configuration — should be designed as natural, guided paths that feel coherent and fit the product hierarchy. Use wizards for complex sequential tasks. Use when designing flows, onboarding, checkout, setup sequences, or any multi-step user journey.
Keep code, tests, documentation, configuration, and other changes as tight, clear, performant, and minimal as possible without weakening behavior. Use during implementation to prevent unnecessary complexity, after behavior is proven to consolidate working changes, before handoff for a full branch audit, and when asked to simplify, tighten, clean up, reduce verbosity, remove complexity, or minimize existing work.
Used for authorized security assessments of cloud, container, and Kubernetes environments, including metadata SSRF, IAM misconfiguration, container escape path detection, and cluster RBAC audits.
OpenTelemetry in Java — Javaagent zero-code instrumentation, Spring Boot Starter, manual autoconfigure SDK, declarative YAML configuration, BOM dependency management, sensitive-data capture and redaction (url.query, headers, request parameters, SQL sanitization). Use when adding, reviewing, or configuring OpenTelemetry in a Java service. Triggers on "setup otel in java", "java telemetry", "javaagent", "Spring Boot otel", "GlobalOpenTelemetry", "AutoConfiguredOpenTelemetrySdk", "TracerProvider java", "url.query redaction", "capture request headers", or any Java-related OTel question.
Complete onboarding guide for developers who are new to Detour, the open-source deferred deep linking SDK by Software Mansion. Use this skill whenever a user asks what Detour is, how to get started with Detour, how to set up deep linking with Detour, how to install the Detour SDK, how to configure the Detour dashboard, or how deferred deep linking works. Also use it when the user has no prior deep linking setup and wants to add deep links to their app. Covers everything from zero to production: account setup, dashboard configuration, Universal Links and App Links, platform SDK integration for React Native, iOS, Android, and Flutter, analytics, and architecture.
Managing dependencies, CI/CD optimization, Docker configuration, and operational observability (logging/alerting/health checks). Use for build errors or dev environment issues.
Volcano Engine Function Compute (veFaaS): This applies when users want to deploy local frontend, Node.js, Python, static sites or API services online, create serverless applications based on templates, connect existing projects to veFaaS, view online access addresses, configure production environment variables, build commands, startup commands or ports, publish, rollback, call and debug online functions, view logs, instance status or resource configurations, pull/push cloud function code, create and manage sandbox instances, troubleshoot issues like deployment failures, authentication failures, framework detection errors, missing gateways, need to directly call veFaaS OpenAPI to complete advanced operations, or get started with veFaaS initially, want to understand veFaaS concepts/capabilities/selection/billing, check official documents in the terminal, access veFaaS SDK or OpenAPI for code development.
Terraform and OpenTofu configuration, modules, testing, state management, and HCL review. Use when working with Terraform, OpenTofu, HCL, tfvars, tftest, state migration, or IaC patterns.
Refactor Spring Boot and Java code to improve maintainability, readability, and adherence to enterprise best practices. This skill transforms messy Spring Boot applications into clean, well-structured solutions following SOLID principles and Spring Boot 3.x conventions. It addresses fat controllers, improper transaction boundaries, field injection anti-patterns, and scattered configuration. Leverages Java 21+ features including record patterns, pattern matching for switch, virtual threads, and sequenced collections.