探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Integrates Ollama's local LLM capabilities into Claude Code via direct REST API operations using the Python requests library.
Guides the development of high-quality RESTful and GraphQL APIs using industry-standard patterns and architectural best practices.
Automates the generation of terminal recordings and documentation galleries for Bazzite AI command lifecycles.
Provides structured patterns and principles for designing scalable, maintainable software systems and managing architectural decisions.
Implements modern, secure, and optimized Stripe payment integrations using current API standards and recommended implementation patterns.
Systematically processes and resolves pull request feedback with automated fixes and thread replies.
Integrates Ollama with the OpenAI Python library to enable seamless migration and compatibility with OpenAI-based tools.
Automates terminal recording sessions using asciinema to create high-quality documentation, demos, and tutorial content.
Manages Git Large File Storage (LFS) assets to ensure binary files like recordings and images are correctly synchronized.
Integrates local LLM inference into Python applications using the official Ollama library for text generation, chat, and model management.
Optimizes Git operations with a focus on trunk-based development, conventional commits, and advanced troubleshooting patterns.
Identifies and resolves performance bottlenecks across databases, application logic, and infrastructure using proven optimization patterns.
Provides standardized directory layouts and manifest configurations for building and organizing Claude Code plugins.
Imports GGUF models directly from HuggingFace into Ollama for seamless local inference and experimentation.
Accelerates codebase onboarding by identifying project types, frameworks, and architectural patterns.
Detects planning-related discussions to guide users toward structured strategy artifacts, project roadmaps, and prioritized development workflows.
Standardizes document formatting, visual styling, and professional messaging across PowerPoint, Excel, and PDF files.
Implement robust, comprehensive testing strategies using industry-standard patterns and best practices for high-quality software delivery.
Manages persistent, graph-based tasks and dependencies that survive AI conversation compaction and span multiple work sessions.
Enables seamless integration of Model Context Protocol (MCP) servers into Claude Code plugins to extend AI capabilities with external tools and services.
Guides the creation and configuration of custom guardrails and automation rules for Claude Code.
Guides the creation and optimization of autonomous agents within the Claude Code ecosystem through structured prompts and configuration.
Analyzes codebase patterns to recommend tailored Claude Code automations including hooks, subagents, and MCP servers.
Generates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics through bold design choices and high-quality implementation.
Standardizes plugin configuration and state management using YAML frontmatter and markdown files in the .claude directory.
Audits and optimizes CLAUDE.md files to provide Claude Code with superior project context and actionable workflows.
Orchestrates complex development tasks by delegating work to specialized parallel subagents to preserve context and maximize reasoning quality.
Implements event-driven automation and validation hooks to enhance Claude Code plugin functionality and security.
Orchestrates complex development tasks by delegating work to parallel specialized subagents to optimize context window performance.
Standardizes the creation and optimization of custom slash commands to automate complex development workflows within Claude Code.
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