Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Evaluates GitLab To-Be-Continuous (TBC) templates and components to determine the most efficient, framework-aligned approach for CI/CD requirements.
Validates complex architectural decisions and provides structured risk assessments for new implementation patterns.
Configures GitLab CI pipelines to build and scan multiple Docker images in parallel using the To-Be-Continuous Docker template.
Governs Claude's behavior to prevent guessing by admitting uncertainty and offering users control over next steps.
Configures specialized AI personalities with custom tools, models, and permission settings to automate complex development workflows.
Applies the MoSCoW framework to requirements, epics, and tasks to ensure high-value delivery within project constraints.
Manages and monitors the status of local application servers through simple CLI commands.
Conducts GitHub pull request reviews directly within your terminal and preferred text editor using a mailing-list style workflow.
Enforces consistent structure and metadata for markdown documents using standardized headers and change history footers.
Delegates well-defined coding tasks to specialized sub-agents to focus on isolated changes.
Validates requirements across the full lifecycle for completeness, consistency, and quality to ensure project alignment and traceability.
Solves overdetermined algebraic, ODE, and PDE systems using the CRACK package in the REDUCE computer algebra system.
Provides expert guidance for creating, writing, building, and refining Claude Code Skills.
Transforms conversation history and debugging sessions into structured, reusable skills using AI-driven pattern extraction.
Analyzes and documents software system architectures, including APIs, data models, integrations, and security requirements.
Facilitates the creation, validation, and documentation of production-ready subagents for Claude Code using structured schemas and protocol specifications.
Streamlines the creation, debugging, and distribution of custom Claude Code plugins including commands, subagents, and marketplace components.
Generates distinctive, production-grade frontend interfaces with high design quality and unique aesthetic choices that avoid generic AI patterns.
Automates the extraction and regeneration of JSON schemas from the To-Be-Continuous Kicker source to maintain accurate GitLab CI/CD template validation.
Streamlines API development, testing, and documentation through standardized HTTP clients, OpenAPI specifications, and mock server workflows.
Enforces production-grade Go backend standards using clean architecture, dependency injection, and test-driven development.
Streamlines the creation of production-grade GitLab CI/CD pipelines using the modular To-Be-Continuous (TBC) framework.
Guides developers in building and extending production-ready to-be-continuous components for GitLab CI/CD following ecosystem best practices.
Implements robust Rust patterns for file persistence, process management, and cross-language boundaries without using unsafe code.
Refines raw ideas through Socratic questioning, multi-perspective analysis, and deep research to prepare concepts for implementation planning.
Generates comprehensive, phased implementation roadmaps through deep codebase research and iterative stakeholder collaboration.
Demonstrates the basic structure and format of a Claude Code skill for beginners.
Creates and manages dynamic database-like views for Obsidian notes using the .base file format and YAML configurations.
Generates interactive debug panels for real-time adjustment of UI parameters like animations, layouts, and styles.
Conducts deep, multi-agent analysis of existing codebases to document functionality, trace implementation logic, and map architectural patterns.
Scroll for more results...