探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Facilitates multi-model AI research and deliberation workflows to provide diverse perspectives and synthesized recommendations.
Automates the creation of structured, best-practice-aligned Claude Code skills for plugins and repositories.
Gathers, standardizes, and structures project requirements from Jira, Confluence, Figma, and interactive interviews.
Finalizes development cycles by automating testing, documentation updates, and Pull Request creation for single or multi-domain projects.
Enhances AI context retention and memory persistence using advanced compression and verification protocols.
Captures and logs AI learnings, errors, and user corrections to enable continuous agent improvement through a structured feedback loop.
Analyzes and organizes current changes into logical, review-ready commits based on functional concerns.
Validates code against specification checklists and quality gates for single or multi-domain projects.
Suggests the best plugins, configurations, and MCP servers to optimize the Claude Code environment.
Optimizes user interaction by presenting multiple granular questions simultaneously through the AskUserQuestion interface.
Synchronizes project specifications and progress tracking with the SDD dashboard for visual project management.
Monitors and displays the real-time status of all development tasks within the SDD-webapp workflow.
Automates the end-to-end Software Design and Development process by orchestrating sub-agents through requirement gathering, implementation, and validation.
Implements standardized Clerk authentication and authorization patterns for Next.js applications.
Provisions production-grade Vertex AI infrastructure using Terraform with a focus on security, scalability, and automated deployments.
Executes secondary CodeRabbit review workflows to complement primary development tasks and optimize code analysis.
Diagnoses and resolves complex issues in Clay integrations using deep debugging techniques and automated evidence collection.
Automates the primary business logic and integration steps for Fireflies.ai meeting intelligence services.
Identifies outliers and unusual patterns in datasets using machine learning algorithms to ensure data integrity and security.
Implements enterprise-grade role-based access control and SSO integration for secure Linear project management workflows.
Implements production-ready design patterns and best practices for the Ideogram API in TypeScript and Python.
Automates the setup and configuration of OpenRouter API credentials and environment variables for seamless AI model integration.
Implements fault-tolerant architectural patterns to build resilient, production-grade Clay integrations and data workflows.
Automates the provisioning and management of AWS resources using standardized Infrastructure as Code (IaC) templates.
Reads, writes, and manipulates DICOM medical imaging data and metadata for healthcare and research applications.
Implements enterprise-grade role-based access control and identity provider integrations for PostHog.
Generates comprehensive project metrics, tracks requirement coverage, and visualizes development velocity through automated data analysis of project artifacts.
Streamlines the creation, configuration, and deployment of autonomous AI agents using the Lindy AI SDK.
Analyzes user intent and project context to suggest the most appropriate documentation skills from the AI Dev Flow framework catalog.
Establishes consistent, maintainable UI design systems using modern design token patterns and Tailwind CSS 4.
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