AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Simplifies PyTorch distributed training by providing a unified API for DDP, DeepSpeed, and FSDP with minimal code changes.
Accelerates large-scale similarity search and clustering for dense vectors using Facebook AI's high-performance library.
Builds and deploys autonomous AI agents through a visual interface and modular block system for continuous workflow automation.
Builds complex AI systems using Stanford's declarative programming framework to optimize prompts and create modular RAG systems automatically.
Enables advanced vision-language capabilities for image understanding, multi-turn visual conversations, and document analysis.
Provision and manage high-performance GPU instances on Lambda Labs for machine learning training and inference workloads.
Accelerates LLM inference speeds by up to 3.6x using advanced decoding techniques like Medusa heads and lookahead decoding.
Serves Large Language Models with maximum throughput and efficiency using vLLM's PagedAttention and continuous batching.
Merges multiple fine-tuned AI models using mergekit to combine specialized capabilities like math and coding without expensive retraining.
Moderates and filters AI inputs and outputs using Meta's specialized safety alignment models to prevent harmful content generation and ensure compliance.
Generates and validates git commit messages that adhere to strict conventional commit standards, character limits, and content policies.
Performs structural code search and analysis using Abstract Syntax Tree patterns to locate complex code constructs across large codebases.
Automates versioning, changelog generation, and multi-file publishing workflows for OpenCode swarm plugins.
Coordinates multi-agent workflows through shared hivemind memory, task tracking, and file reservation to prevent development conflicts.
Automates versioning, manifest synchronization, and publishing workflows for the OpenCode Swarm Plugin monorepo.
Generates and manages OpenAPI overlays to customize SDK generation without modifying the original API specification.
Initializes new SDK projects from OpenAPI specifications using Speakeasy's automated workflow configuration.
Validates OpenAPI specifications using Speakeasy to ensure contract compliance and high-quality SDK generation.
Optimizes API specifications by suggesting intuitive operation IDs and structured error type definitions using AI.
Combines multiple OpenAPI specifications into a single, unified document using the Speakeasy CLI.
Resolves OpenAPI linting and validation errors by applying non-destructive overlays to source specifications.
Monitors and audits the current configuration of Speakeasy workspace targets, sources, and SDK generation status.
Troubleshoots and resolves SDK generation failures by analyzing OpenAPI specifications and applying optimal fix strategies.
Optimizes OpenAPI operation IDs to generate clean, idiomatic SDK methods like sdk.users.list() instead of generic endpoints.
Automates the regeneration of type-safe SDKs and API clients from OpenAPI specifications using Speakeasy workflows.
Applies OpenAPI overlays to transform and refine API specifications without modifying the source files directly.
Configures Station CLI settings for AI providers, coding backends, and agent infrastructure via browser UI or command line.
Orchestrates and deploys AI agents with full infrastructure control using a self-hosted runtime and CLI toolset.
Accelerates project onboarding by extracting architectural insights and key concepts from llmdoc documentation without scanning source code.
Configures a real-time terminal status bar for Claude Code to monitor context usage, session costs, and API rate limits.
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