持續整合/部署
13574 skills in DevOps > 持續整合/部署
financial-modeling-skills
Comprehensive financial analysis suite including investment evaluation, portfolio intelligence, SROI calculation, technology transfer valuation, and cross-border analysis. Use for investment decisions, portfolio management, impact measurement, and financial modeling requiring institutional-grade outputs.
pricing-algorithm
Reference for the buy box optimization pricing algorithm. Use when understanding pricing decisions, debugging price changes, or investigating buy box behavior. Covers the core optimization loop, buy box detection, and edge cases like multiple buy box winners.
ux-expert
Experto en UX/UI que aplica leyes de diseño y mejores prácticas. Se activa cuando el usuario menciona UX, usabilidad, impacto visual, experiencia de usuario, o quiere mejorar la retención de visitantes.
validate-sibling-dependency
Validate Sibling Dependency Law (ADR-020) for Xentri architecture. Use when checking module dependencies, creating new requirements, adding interfaces between entities, or reviewing cross-module relationships. Enforces that entities can only depend on siblings (same parent) and cross-branch access must be declared at common ancestor level.
frontend-design-methodology
Research-driven design methodology producing unique, context-appropriate frontends. Prevents AI aesthetic convergence through contextual analysis, cross-pollination research, and banality testing.
mortgage-servicing-ca
Regulatory guidance for Canadian mortgage servicing software. Use when working with Canadian loan data models, payment processing, default management, insured vs uninsured mortgages, or questions about FCAC, OSFI, CMHC requirements, or Canadian mortgage servicing regulations.
pai
Personal AI Infrastructure (PAI) - PAI System Template. Your name is @assistantName@ and you are @userFullName@'s AI assistant. Do not introduce yourself as "Claude Code" MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. Your personality is friendly, professional, resilient to user frustration. Operating Environment is Personal AI infrastructure built around Claude Code with Skills-based context management. This skill provides critical info on how to answer questions, Patrick's key contacts, security guidelines, stack preferences, social media accounts, and other core information.
worktree-helper
Guide for creating and working in Git worktrees with a consistent workflow. Use when a user wants to run a task in a separate worktree, create or clean up worktrees, migrate a repo into a main/worktrees layout, or implement work based on an issue ID using GitHub/GitLab tooling.
research-finding
Expert Security Analyst for deep research and exploitability analysis of security findings. Use when you have a specific finding from semgrep, trufflehog, or manual code review that needs thorough investigation to determine if it represents an exploitable vulnerability with real-world impact.
ai-training-data-generation
Generate high-quality training datasets from documents, text corpora, and structured content. Use when creating AI training data from dictionaries, documents, or when generating examples for machine learning models. Optimized for low-resource languages and domain-specific knowledge extraction.
claude-code
Activate when users ask about Claude Code installation, slash commands (/cook, /plan, /fix, /test, /docs, /design, /git), creating/managing Agent Skills, configuring MCP servers, setting up hooks/plugins, IDE integration (VS Code, JetBrains), CI/CD workflows, enterprise deployment (SSO, RBAC, sandboxing), troubleshooting authentication/performance issues, or advanced features (extended thinking, caching, checkpointing).
markdowntown-bd
Beads (bd) issue workflow and repo operations for markdowntown. Use when creating bd tasks, updating status, adding dependencies, running required tests, committing, and pushing to main.
turbo-config
Turbo.json configuration template and validation logic for Turborepo tasks. Use when creating or auditing turbo.json files to ensure correct task configuration, caching strategy, and the 7 required MetaSaver standards (schema, globalEnv, globalDependencies, required tasks by repo type, build requirements, persistent task cache, clean task cache).
py-testing-async
Async testing patterns with pytest-asyncio. Use when writing tests, mocking async code, testing database operations, or debugging test failures.
quality-gate
Right-side-of-V verification/validation orchestration for a change or PR.Produces a single Quality Gate Report with evidence covering: code review,security audit, performance regression risk, requirements traceability,acceptance/UAT scenarios, and (when UI changes) visual regression testing.Use when preparing a PR for merge/release, doing a “ready?” check, orenforcing an engineering quality gate.
citrix-storefront-deployment
StoreFront deployment planning, configuration, and security hardening. Use when planning StoreFront infrastructure, configuring stores and authentication, setting up server groups, implementing SSL/TLS, or troubleshooting StoreFront connectivity issues. Covers architecture patterns, high availability, and operational procedures.
unity-workflows
This skill should be used when the user asks about "Unity editor scripting", "Custom Inspector", "EditorWindow", "PropertyDrawer", "Unity Input System", "new Input System", "UI Toolkit", "uGUI", "Canvas", "asset management", "AssetDatabase", "build pipeline", "Editor utilities", or needs guidance on Unity editor extensions, input handling, UI systems, and workflow optimization.
hugo-expert
Use this skill when working with Hugo static site development, especially for multilingual sites with complex taxonomies. Triggers include template debugging, taxonomy issues, i18n configuration, page bundles, shortcodes, or any Hugo-specific build/rendering problems. Essential for this Triunghi.md project's Hugo architecture.
dom-reader
Use when extracting specific HTML elements (h1, h2, links, images, etc.), scraping page content, or inspecting DOM structure. Also preferred for JavaScript-rendered content or when WebFetch returns incomplete results.
project-data-separation
Pattern for separating repository code from user data and notebooks. Trigger: organizing scientific pipelines, separating code from data