CI/CD
13574 skills in DevOps > CI/CD
blackbox
Blackbox flight recorder for file snapshots and disaster recovery. Use when: (1) asking how blackbox works, (2) needing to restore a previous file version, (3) querying file modification history, (4) checking what files were changed, (5) recovering from accidental edits.
rust-gpu-scheduling
Implement GPU scheduling with VRAM budgets, work queues, and model lifecycle management. Use when building ML pipeline orchestrators.
bug-fix-specialist
Bug raporlarını analiz eder, root cause bulur, çözüm önerileri sunar ve kodları düzeltir. Production issues'ları hızlıca çözmek için tasarlanmıştır.
ast-grep
AST-based code searching with ast-grep. Use when searching code by syntax structure rather than text patterns, finding specific code patterns, or refactoring.
test-pipeline
Run pytest test suite for the video processing pipeline with coverage analysis. Use when the user wants to run tests, check test coverage, validate code quality, or verify pipeline functionality.
dispatching-parallel-agents
MANDATORY protocol for parallel agent execution when facing 3+ independent failures or tasks that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently
vercel-deployment-platform
Vercel serverless deployment platform optimized for Next.js with edge functions, automatic previews, and global CDN
sdd-planning
Generate comprehensive implementation plans using Specification-Driven Development (SDD)methodology. Use when creating technical design, implementation roadmap, or executingthe /plan command.This skill orchestrates the plan-template.md execution flow, generating research, datamodels, API contracts, and test scenarios. It validates constitutional compliance(Library-First, Test-First, Contract-First) and prepares for task generation.Triggered by: /plan command, user request for "implementation plan", "technical design","how to implement", or "design this feature".
quality-strategy-architect
Defines the project's holistic quality strategy, test policies, and the 'Unified Feedback Protocol'. Establishes the single source of truth for all quality assurance procedures, unifying both automated and human-driven governance.
plan-expert
Planning and architecture decision domain expert.Knows about:- Creating ADRs (Architecture Decision Records)- Creating technical specifications- Listing and discovering planning artifacts- Transforming plans into executable VTM tasks- Integrating with research tools (thinking-partner)Use when:- User wants to document an architectural decision- User needs to create a technical specification- User wants to explore or list existing ADRs/specs- User is ready to convert planning docs into tasks- User needs research before making a decision
contentful-sdk
Comprehensive Contentful SDK guide for TypeScript/JavaScript. Covers Management SDK (CMA) for content/schema management, Delivery SDK (CDA) for fetching content, and App Framework SDK for building Contentful apps. Use for any Contentful API integration work.
backend-models
Define and structure database models with proper naming conventions, data integrity constraints, and relationship definitions. Use this skill when creating or modifying database model files, defining table schemas, setting up model relationships (one-to-many, many-to-many, one-to-one), working with ORM model files (schema.prisma, models/*, app/models/*, entities/*), implementing data validation at the model level, adding timestamps and audit fields, defining foreign keys and indexes, choosing appropriate data types, configuring cascade behaviors, or balancing database normalization with query performance. Apply this skill when designing database schemas, creating new models, refactoring existing model structures, or reviewing data integrity and relationship configurations.
golang-testing-strategies
Comprehensive Go testing strategies including table-driven tests, testify assertions, gomock interface mocking, benchmark testing, and CI/CD integration
development-brainstorming
Use when planning software development tasks, before writing code or implementation plans - refines rough technical ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. For software architecture, components, data flow, and technical design decisions. Don't use during clear 'mechanical' coding processes
global-tech-stack
Reference and maintain documentation of the project's technical stack including frameworks, languages, databases, testing tools, and third-party services. Use this skill when choosing technologies for implementation, adding new dependencies or libraries, setting up project infrastructure, configuring build tools and package managers, integrating third-party services (authentication, email, monitoring), selecting appropriate frameworks for features, ensuring consistency with existing technology choices, documenting technology decisions, reviewing technology compatibility, or onboarding team members to the tech stack. Apply this skill when making technology decisions, adding new tools or services, documenting the stack, or ensuring new code aligns with the project's established technical architecture.
data-engineering
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems. ML algorithms, deep learning, and AI.
inbox-processing
Workflow for processing large Things3 inboxes (100+ items) using LLM-driven confidence matching and intelligent automation. Integrates with personal taxonomy and MCP tools for efficient cleanup with self-improving pattern learning.
typefully
This skill should be used when managing social media content through Typefully, including creating drafts, scheduling posts, cross-posting to multiple accounts, and multi-platform publishing (X, LinkedIn, Threads, Bluesky, Mastodon). Use it for social media management, thread creation, and workflow automation via the Typefully API v2.
sop-product-launch
Complete product launch workflow coordinating 15+ specialist agents across research, development, marketing, sales, and operations. Uses sequential and parallel orchestration for 10-week launch timeline.
customgpt-rag-retrieval
Automatically retrieve relevant information from the organization's CustomGPT.ai knowledge base when answering questions about documented topics, policies, procedures, or technical specifications.