Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Styles and structures R console output using semantic messaging, progress indicators, and professional terminal formatting.
Builds and reviews production-grade frontend interfaces with a focus on accessibility, semantic structure, and distinctive visual design.
Streamlines smart contract security audits by providing comprehensive project scoping and architectural analysis.
Optimizes LLM output quality by providing domain-specific guidance and structural patterns for crafting high-performance prompts.
Implements parameter-efficient fine-tuning using Low-Rank Adaptation (LoRA) to specialize large language models with minimal resource overhead.
Enforces mandatory risk analysis and structured decision documentation to prevent architectural debt and project failures.
Generates structured, atomic implementation plans for complex multi-step coding tasks to ensure consistency and reliable handoffs.
Manages software architecture, CI/CD pipelines, and technical debt through rigorous CMMI-based governance and ADR enforcement.
Implements rigorous Verification and Validation processes based on CMMI standards to ensure products are built correctly and solve the right user needs.
Filters and triages false positives from Weasel Solidity static analysis reports to ensure high-quality security findings.
Automates iterative AI-driven development by generating comprehensive specs, implementation plans, and execution loops through interactive planning.
Automates the end-to-end coding lifecycle by routing tasks through optimized multi-agent workflows and mandatory triple-layered code reviews.
Monitors GitHub Actions billing and workflow efficiency to optimize cloud spending and repository performance.
Streamlines Python packaging and distribution using the standards-compliant Hatchling build backend and pyproject.toml configuration.
Standardizes git commit messages to enable automated versioning and structured project history.
Accelerates pattern and anti-pattern detection by 70% using a structured narrative framework that mirrors investigative logic.
Enforces Conventional Commit message standards and manages commitlint configurations for consistent repository history.
Standardizes the progression of AI feature autonomy from human-in-the-loop to autonomous action.
Conducts comprehensive, expert-level Python code reviews focused on architectural integrity, maintainability, and idiomatic correctness.
Facilitates contributions to the Agentpack repository through spec-driven development workflows and automated verification.
Builds and manages professional-grade documentation sites using MkDocs and the Material theme.
Validates user-proposed security vulnerabilities and attack vectors in Solidity smart contracts through rigorous trace analysis.
Simplifies LLM integration by providing a consistent OpenAI-style Python interface for over 100 cloud and local providers.
Implements data-driven engineering management through statistical process control, DORA metrics, and CMMI-aligned measurement frameworks.
Enables memory-efficient fine-tuning of large language models using 4-bit quantization and LoRA adapters.
Build, train, and optimize high-performance neural networks using the PyTorch deep learning framework.
Optimizes LLM context windows by implementing sophisticated trimming, summarization, and memory management strategies for AI agents.
Integrates AI-powered qualitative analysis into Python pandas workflows for intelligent data sorting, deduplication, and merging.
Loads and deploys state-of-the-art pretrained models for text, vision, and audio using the Hugging Face library.
Optimizes and runs large language models on Apple Silicon using the native MLX framework for high-performance inference and fine-tuning.
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