Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Scaffolds the foundational directory structure and configuration files required for a spec-driven development workflow.
Integrates executable Python scripts into Claude's workflow to perform deterministic operations like data processing and input validation.
Builds structured requirements and architecture specifications through a facilitated, step-by-step conversation.
Manages GitHub App tokens and API failures in workflows using robust retry logic and actionable error reporting.
Generates, maintains, and validates OpenAPI 3.1 specifications and client SDKs from code or design patterns.
Implements and refactors classic object-oriented design patterns to build flexible, maintainable, and scalable software systems.
Scaffolds production-ready RAG and document processing projects from curated LlamaFarm templates.
Implements strategic information layering to reduce cognitive load while maintaining feature depth for power users.
Provides precise, project-specific Kotlin type information and member discovery by querying metadata generated from your Gradle project.
Streamlines the development of production-ready SvelteKit applications using Svelte 5 runes, type-safe remote functions, and modern architectural patterns.
Executes and manages SPL queries within Splunk using oneshot, normal, and blocking execution modes.
Streamlines Python project management using the fast, Rust-powered uv package manager for dependencies and environments.
Facilitates multi-perspective team discussions using specialized agent personas to brainstorm, analyze trade-offs, and reach consensus.
Indexes and analyzes past Claude Code and Codex sessions to help you search history, track tool usage, and optimize agent workflows.
Provides systematic guidance and standardized workflows for developing, optimizing, and deploying specialized Claude Code Skills.
Detects outliers and anomalies in datasets using over 12 machine learning backends and automated training workflows.
Optimizes automation workflows by detecting and skipping redundant operations where outcomes remain unchanged.
Master the Bash Automated Testing System (Bats) to create comprehensive, production-grade unit tests for shell scripts and CI/CD pipelines.
Bundles prompts and source files into high-context requests for advanced AI reasoning via browser automation or API.
Enforces robust input validation and sanitization standards to ensure data integrity and security across application logic and API endpoints.
Optimizes vector search performance by tuning HNSW parameters, quantization strategies, and search infrastructure scaling.
Analyzes meeting transcripts to identify communication patterns, leadership behaviors, and actionable feedback for professional growth.
Scans code and skills for sensitive credentials, API keys, and personal data to prevent accidental exposure.
Enhances the quality of images and screenshots by improving resolution, sharpening details, and reducing compression artifacts.
Enforces a strict Red-Green-Refactor workflow to ensure high-quality, verified code production through test-first implementation.
Automates shell script verification using the Bash Automated Testing System (Bats) framework for robust and portable scripts.
Implements rigorous methodological guardrails and analytical workflows for AI-assisted qualitative research projects.
Transforms technical blog posts into high-engagement LinkedIn content while maintaining an authentic professional voice.
Implements production-ready machine learning pipelines for IoT monitoring, fraud detection, and document intelligence using LlamaFarm patterns.
Generates structured, project-specific commit messages by analyzing staged changes and following established repository conventions.
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