Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Implements semantic versioning and standardized changelog formatting to streamline software release management.
Generates and audits professional project documentation structures, README files, and contribution guidelines following industry best practices.
Automates the retrieval and processing of AORC historical data and Atlas 14 design storms for HEC-RAS and HEC-HMS hydrological models.
Parses and modifies HEC-RAS plain text geometry files using a Python API designed for hydraulic modeling automation.
Master complex concepts by breaking them down into simple explanations and identifying critical knowledge gaps.
Automates the continuous improvement of AI agents by analyzing session transcripts, identifying errors, and refining agent definitions.
Analyzes AI agent session logs to identify root causes of performance issues and generates detailed investigation reports.
Creates standardized issue logs to document and track failures observed during LearningAgent sessions.
Orchestrates multi-agent workflows using Drucker-inspired leadership principles for effective delegation and strategic management.
Analyzes AI agent session transcripts to identify performance issues, knowledge gaps, and incorrect outputs for continuous improvement.
Performs automated, rule-based code reviews on branches and files using custom project configurations.
Creates and configures specialized LearningAgents with automated directory scaffolding and domain-specific knowledge initialization.
Reviews and optimizes prompt files against Anthropic's official engineering best practices to ensure high-quality AI outputs.
Updates the LearningAgent's knowledge base by documenting investigated issues into core knowledge, topics, or learning files.
Executes structured multi-step workflows with integrated quality gates to ensure consistent task completion.
Orchestrates self-improving AI sub-agents that automatically learn from past mistakes and session transcripts to enhance future performance.
Configures project permissions and security rules required for the LearningAgents plugin to operate seamlessly.
Configures automated code review rules using YAML configuration files to streamline project quality assurance.
Manages Railway projects and workspaces by listing, switching, and configuring core settings like PR deploys and project visibility.
Manages Railway deployment lifecycles, log monitoring, and service troubleshooting through the Railway CLI.
Automates the end-to-end process of creating and packaging specialized Claude Code skills from various external or local sources.
Detects and resolves circular compile-time dependencies in Elixir projects using mix xref and structured refactoring.
Automates the build process and executes comprehensive test suites for the PyPTO project using CMake and pytest.
Manages Obsidian tasks via the TaskNotes plugin API to streamline productivity and personal knowledge management.
Monitor and analyze real-time resource usage for Railway services including CPU, memory, network, and disk performance.
Enforces language-agnostic testing best practices including TDD, AAA patterns, and high-quality coverage standards.
Provides technical decision criteria, anti-pattern detection, and standardized quality assurance workflows for frontend development.
Enforces technical decision criteria, anti-pattern detection, and rigorous quality assurance workflows for high-reliability development.
Deploys pre-configured services, databases, and applications from the Railway template marketplace directly into your project.
Standardizes integration and end-to-end testing through ROI-driven design, behavior-first principles, and structured test skeletons.
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