Descubre Habilidades de Claude para learning & documentation. Explora 86 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Aligns language learning content to the CEFR framework by generating proficiency-based rubrics, can-do statements, and curriculum progression maps.
Automates documentation quality assurance by validating SPEC compliance, code accuracy, and multilingual consistency using AI.
Facilitates deep conceptual learning through Socratic questioning and guided discovery rather than providing direct answers.
Enforces Test-Driven Development and systematic planning through interactive MCQs and persistent project state tracking.
Builds a standardized, tabbed onboarding and documentation center directly within dashboard applications.
Guides the development of standardized AI agent skills following the open agent-skills specification.
Implements a Test-Driven Development (TDD) workflow for creating, testing, and optimizing reusable AI agent skills.
Exports Claude Code Learning Memory System (ALM) playbooks into clean, shareable Markdown files for documentation and version control.
Retrieves real-time documentation for project-specific technologies using Context7 MCP.
Streamlines the systematic research process, from database searching and screening to thematic synthesis and citation management.
Generates professional system architecture, component, and deployment diagrams in Mermaid and Draw.io formats.
Guides the creation and packaging of custom Claude Code skills to extend AI capabilities with specialized knowledge and tool integrations.
Standardizes and audits help hub implementations to ensure UI consistency and functional deep linking.
Guides the architecture and scaffolding of high-quality agent skills following the open agent-skills standard.
Generates standardized AGENTS.md and CLAUDE.md files to provide AI coding agents with essential repository context and operational guidance.
Guides developers through the process of building, structuring, and validating specialized agent skills using the open agent-skills standard.
Generates structured AGENTS.md and CLAUDE.md files to provide AI coding agents with essential repository context and operational guidance.
Standardizes the creation of AGENTS.md and CLAUDE.md files to provide AI coding agents with essential repository context and operational guidance.
Standardizes and automates the creation and maintenance of project terminology within the .workaholic/terms directory.
Translates English markdown files into multiple languages while preserving technical formatting and developer-specific terminology.
Automates the creation and maintenance of viewpoint-based architecture specifications and technical user guides.
Analyzes codebases through customizable architectural lenses to generate comprehensive documentation and Mermaid diagrams.
Scaffolds a standardized internal-context folder structure to help AI agents understand and navigate repository architecture, workflows, and conventions.
Streamlines the archival of architectural decision records (ADRs) into Notion using structured, standardized templates.
Generates visual representations of system architecture, service flows, and decision matrices using Mermaid and ASCII formats.
Synchronizes and searches curated awesome lists to provide domain-specific insights for software design and planning.
Syncs and versions development conventions directly to a Notion Standards database to maintain team-wide consistency.
Standardizes the documentation of significant technical decisions to maintain architectural clarity and historical context within a codebase.
Automates the retrospective process to capture project insights and refine development rules after feature completion.
Provides expert guidance on LangGraph development by prioritizing local project specifications and official framework documentation.
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