claudemods

发现 Claude mods

这里默认只列出有证据的 Claude Code Mod:插件的钩子配置声明了函数钩子模块(modules)。服务器每 6 小时在 GitHub 上找新的 Mod,也接受你提交的仓库。

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第 61–80 条,共 938 条结果

★ 是仓库级 Star,不代表包的质量;下载请求不等于安装。指标定义

  1. crewai技能

    Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (seq…

    davila7 davila7/claude-code-templates

  2. data-engineer技能

    Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.

    davila7 davila7/claude-code-templates

  3. nemo-curator技能

    GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, …

    davila7 davila7/claude-code-templates

  4. ray-data技能

    Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of …

    davila7 davila7/claude-code-templates

  5. data-scientist技能

    Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

    davila7 davila7/claude-code-templates

  6. datadog-cli技能

    Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

    davila7 davila7/claude-code-templates

  7. deep-research技能

    Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

    davila7 davila7/claude-code-templates

  8. deep-research-notebooklm技能

    Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the researc…

    davila7 davila7/claude-code-templates

  9. dispatching-parallel-agents技能

    Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

    davila7 davila7/claude-code-templates

  10. huggingface-accelerate技能

    Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). …

    davila7 davila7/claude-code-templates

  11. training-llms-megatron技能

    Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H10…

    davila7 davila7/claude-code-templates

  12. pytorch-lightning技能

    High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Us…

    davila7 davila7/claude-code-templates

  13. ray-train技能

    Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling…

    davila7 davila7/claude-code-templates

  14. knowledge-distillation技能

    Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source…

    davila7 davila7/claude-code-templates

  15. long-context技能

    Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond…

    davila7 davila7/claude-code-templates

  16. model-merging技能

    Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improvin…

    davila7 davila7/claude-code-templates

  17. model-pruning技能

    Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabl…

    davila7 davila7/claude-code-templates

  18. moe-training技能

    Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures …

    davila7 davila7/claude-code-templates

注册表状态
Claude Mod
5
包
2,636
仓库
175
版本
2,758
下载请求
3
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