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Category ranking· 品类排行

The best AI skills for data & research做数据与研究最好用的

Skills that search, synthesize, analyze data, and turn research into decisions.检索、综合、分析数据,并把研究材料转成决策依据的 skill。

Editor's picks编辑精选榜单

2026-05-16 last re-ranked · 上次重排
#1Gold · 金

ux researcher designer

Editor's Choice· 编辑首选
by alirezarezvani·updated 2w ago

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapp…

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.

Claude CodeCodexLow risk · 低风险$
rating · 评分
14k
stars · 星标
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#2Silver · 银

prompt guard

Runner-up· 次选
by Orchestra-Research·updated 2w ago

Meta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ T…

Meta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ TPR, <1% FPR. Fast (<2ms GPU). Multilingual (8 languages). Deploy with HuggingFace or batch processing for RAG security.

Claude CodeMedium risk · 中风险$
rating · 评分
8.2k
stars · 星标
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#3Bronze · 铜

nemo curator

Pair with #1· 推荐配套
by Orchestra-Research·updated 2w ago

GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× fast…

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, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality t…

Claude CodeCodexLow risk · 低风险$
rating · 评分
8.2k
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#4

ray data

by Orchestra-Research·updated 2w ago

Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integr…

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 nodes. Use for batch inference, data preprocessing, multi-modal data loading, or…

Claude CodeCodexLow risk · 低风险$
rating · 评分
8.2k
stars · 星标
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#5

evolving ai agents

by Orchestra-Research·updated 2w ago

Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algo…

Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.

Claude CodeCodexLow risk · 低风险$
rating · 评分
8.2k
stars · 星标
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#6

deepspeed

by Orchestra-Research·updated 2w ago

Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8…

Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention

Claude CodeCodexLow risk · 低风险$
rating · 评分
8.2k
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#7

llama factory

by Orchestra-Research·updated 2w ago

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal…

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

Claude CodeCodexLow risk · 低风险$
rating · 评分
8.2k
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#8

sparse autoencoder training

by Orchestra-Research·updated 2w ago

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activ…

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language m…

Claude CodeCodexLow risk · 低风险$
rating · 评分
8.2k
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#9

autoresearch

by Orchestra-Research·updated 3w ago

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experim

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.

Claude CodeCodexLow risk · 低风险$
rating · 评分
8.2k
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#10

web search scraper api skill

by browser-act·updated 2w ago

This skill helps users automatically extract complete Markdown content from any website via the BrowserAct Web Search S…

This skill helps users automatically extract complete Markdown content from any website via the BrowserAct Web Search Scraper API. The Agent should proactively apply this skill when users express needs like extract complete markdown from a specific website, scrape the content of…

Claude CodeCodexLow risk · 低风险$
rating · 评分
1.2k
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Why we didn't pick these为什么没选这些

Also common, but didn't make the picks同样常见,但未入精选
  • protocolsio integration

    Workflows that require stronger human review than this catalog entry documents.

    需要比当前目录条目更严格人工复核的工作流。

  • pptx posters

    Workflows that require stronger human review than this catalog entry documents.

    需要比当前目录条目更严格人工复核的工作流。

  • scientific writing

    Workflows that require stronger human review than this catalog entry documents.

    需要比当前目录条目更严格人工复核的工作流。

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v0.4 · 1252 skills indexed · last review 2026-05-16