探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Accesses and interprets up-to-date LangGraph documentation and implementation guides directly within Claude.
Master Python asyncio and concurrent programming patterns to build high-performance, non-blocking applications.
Standardizes and polishes written copy through a systematic line-by-line review based on Every's comprehensive style guide.
Build Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge and proprietary data.
Automates the initial setup and plugin installation process for optimized ClaudeSync environments.
Processes video files through audio extraction, format conversion, and automated AI transcription using Whisper and FFmpeg.
Generates professional PDF reports featuring formatted text, data tables, and embedded visualizations using the reportlab Python library.
Reviews technical documentation for factual accuracy, validates code examples, and identifies broken links.
Optimizes local storage by pruning bloated Claude Code conversation history and truncating large tool outputs.
Build autonomous agents by defining features as outcomes in prompts rather than hard-coding workflow logic.
Builds, trains, and deploys distributed neural networks within secure E2B sandbox environments using Flow Nexus.
Analyzes athletic training logs to track progress, identify performance plateaus, and optimize recovery schedules using sports science principles.
Manages a structured, version-controlled todo tracking system for documenting technical debt, features, and code findings within your repository.
Builds sophisticated, multi-component React artifacts for Claude.ai using modern frontend stacks like shadcn/ui and Tailwind CSS.
Optimizes the Things task management workflow with adaptive learning, automated research, and intelligent triage commands.
Generates and edits high-resolution images using the Gemini Pro API directly within your development environment.
Manages a structured task tracking system directly within your repository using Markdown files and YAML frontmatter.
Facilitates the transition from legacy AngularJS applications to modern Angular using hybrid strategies and incremental component updates.
Automates git commits upon completion of significant development milestones to maintain a clean and documented project history.
Optimizes Claude Code file discovery performance using high-performance CLI tools like ripgrep and fzf.
Builds type-safe, composable LLM applications in Ruby using the programmatic DSPy framework.
Generates high-performance, production-ready Ruby gems using Andrew Kane's minimalist, battle-tested architectural patterns.
Guides the authoring and refinement of Claude Code Skills by enforcing Anthropic's official specifications and best practices.
Upgrades Claude's planning capabilities with parallel research, external documentation analysis, and systematic edge-case identification for complex features.
Enables the design of autonomous, tool-driven applications where features are outcomes achieved by agents operating in a loop.
Automates the creation of standardized, user-facing changelog entries for Nextest releases following the Keep a Changelog format.
Transforms raw CSV data into interactive Plotly visualizations, comprehensive statistical reports, and professional multi-plot dashboards.
Streamlines parallel development by managing isolated Git worktrees with automatic environment synchronization and interactive cleanup.
Simplifies computational molecular biology tasks including sequence manipulation, phylogenetic analysis, and programmatic NCBI database access.
Guides the creation and optimization of modular Claude Code Skills using the professional Router Pattern.
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