跳到正文
cccskills

“nsf”的搜索结果

1820 个 · 按相关度排序

Automate Dnsfilter operations through Rube MCP and Composio by discovering available tools, checking the account connection, and executing requests using current input requirements. Includes guidance for bulk operations and retrieving complete results.

中文简介正在准备中。当前显示英语简介。

  • Find available tools for a Dnsfilter task
  • Check the Dnsfilter account connection
  • Execute requests using current input requirements
ComposioHQ/awesome-claude-skills7.7万2026年9月18日 更新

Automate Dnsfilter operations through Rube MCP and Composio by discovering available tools, checking the account connection, and executing requests using current input requirements. Includes guidance for bulk operations and retrieving complete results.

中文简介正在准备中。当前显示英语简介。

  • Find available tools for a Dnsfilter task
  • Check the Dnsfilter account connection
  • Execute requests using current input requirements
composio-community/awesome-codex-skills1.7万2026年7月26日 更新

Train sentence-transformers models for search, similarity, and reranking, which reorders search results by relevance. Choose a model type, prepare data, configure training, compare results against a baseline, and publish the trained model to Hugging Face Hub.

中文简介正在准备中。当前显示英语简介。

  • Fine-tuning an embedding model for domain-specific search
  • Training a model to rerank search results
  • Training SPLADE or ColBERT retrieval models
huggingface/sentence-transformers1.9万2026年10月17日 更新

Integrate Flash Attention into transformer models to reduce processing time and GPU memory use for long sequences. Covers PyTorch integration, advanced attention options, and benchmarks that compare speed, memory use, and output accuracy.

中文简介正在准备中。当前显示英语简介。

  • Speeding up transformer training on long sequences
  • Reducing GPU memory use during attention
  • Adding Flash Attention to a PyTorch model
davila7/claude-code-templates3.3万2026年10月18日 更新

Guides the use of RWKV, a language model architecture that carries information forward in a compact state. Covers streaming text generation, long document processing, fine-tuning, and memory comparisons with Transformers.

中文简介正在准备中。当前显示英语简介。

  • Build streaming text generation
  • Process long documents in chunks
  • Compare memory needs with Transformers
davila7/claude-code-templates3.3万2026年10月18日 更新

Investigate how transformer language models produce predictions with TransformerLens. This skill guides inspection of intermediate values and attention patterns, plus experiments that replace internal values to test their effects and identify components involved in model behavior.

中文简介正在准备中。当前显示英语简介。

  • Inspecting attention patterns and intermediate values
  • Testing output changes by replacing internal activations
  • Analyzing attention head contributions to predictions
davila7/claude-code-templates3.3万2026年10月18日 更新

Investigate how transformer language models produce predictions with TransformerLens. This skill guides inspection of intermediate values and attention patterns, plus experiments that replace internal values to test their effects and identify components involved in model behavior.

中文简介正在准备中。当前显示英语简介。

  • Inspecting attention patterns and intermediate values
  • Testing output changes by replacing internal activations
  • Analyzing attention head contributions to predictions
Orchestra-Research/AI-Research-SKILLs1.4万2026年10月11日 更新

Train sentence-transformers models for search, similarity, and reranking, which reorders search results by relevance. Choose a model type, prepare data, configure training, compare results against a baseline, and publish the trained model to Hugging Face Hub.

中文简介正在准备中。当前显示英语简介。

  • Fine-tuning an embedding model for domain-specific search
  • Training a model to rerank search results
  • Training SPLADE or ColBERT retrieval models
huggingface/skills1.1万2026年10月9日 更新

Turn research ideas and literature into a structured funding proposal. Supports KAKENHI and other funding programs, guiding literature positioning, research aims, methods, timelines, and budget justification, with external review to identify weaknesses in the draft.

中文简介正在准备中。当前显示英语简介。

  • Drafting a KAKENHI proposal from a research idea
  • Explaining gaps relative to literature and funded projects
  • Organizing research aims, annual plans, and budget justification
wanshuiyin/Auto-claude-code-research-in-sleep1.8万2026年10月17日 更新

Expert-level mass transfer covering molecular diffusion, convective mass transfer, interphase transfer, mass transfer coefficients, and design of mass transfer equipment.

中文简介正在准备中。当前显示原文说明。

luokai0/ai-agent-skills-by-luo-kai132026年5月6日 更新

Build and evaluate Mamba models for long sequences using state-space models, which summarize past inputs in an internal state. Covers setup, pretrained text generation, differences between Mamba-1 and Mamba-2, and speed comparisons with Transformers.

中文简介正在准备中。当前显示英语简介。

  • Generate text with pretrained Mamba models
  • Compare Mamba-1 and Mamba-2 configurations
  • Benchmark generation speed against Transformers
davila7/claude-code-templates3.3万2026年10月18日 更新

Implement Mamba, a model architecture that processes sequences through an internal state with computation scaling linearly with input length. Covers pretrained text generation, Mamba-1 and Mamba-2 configuration, speed comparisons with Transformers, and GPU memory troubleshooting.

中文简介正在准备中。当前显示英语简介。

  • Explore models for long sequences or streaming applications
  • Generate text with pretrained Mamba models
  • Compare Mamba-1 and Mamba-2 configurations
Orchestra-Research/AI-Research-SKILLs1.4万2026年10月11日 更新

Guides you through setting up RWKV, generating text, processing long documents in chunks, and fine-tuning models. Explains how to carry context between steps and compare memory use with Transformer models.

中文简介正在准备中。当前显示英语简介。

  • Build streaming text generation
  • Process long documents in chunks
  • Plan RWKV fine-tuning
Orchestra-Research/AI-Research-SKILLs1.4万2026年10月11日 更新

Prepare large text collections for AI models with fast tokenizers, which split text into model inputs. Train custom vocabularies, trace tokens to original text positions, adjust input lengths, and integrate the results with transformers.

中文简介正在准备中。当前显示英语简介。

  • Tokenizing large text collections
  • Training a custom vocabulary
  • Mapping extracted names or answers back to original text
Orchestra-Research/AI-Research-SKILLs1.4万2026年10月11日 更新

Use when generating sexy/NSFW or posed images with local Qwen-Image 2.1 — pose/NSFW LoRAs (tawsLoRa femaledVaginus, TheseAlpacas, posture-v3), pose transfer from an existing image, or exact pose control via VNCCS PoseStudio 3D pose library. Triggers: 性感姿势, 摆姿势, NSFW 出图, 换姿势, 姿势控制, pose transfer, pose lora, VNCCS, 人偶姿势, 姿势库. Independent of any general image-generation skill (which handles SFW text/edit/cutout work).

中文简介正在准备中。当前显示原文说明。

Arekejoker/qwen21-nsfw-pose-skill32092026年10月17日 更新

Guide for obtaining explicit consent for international data transfers under GDPR Article 49(1)(a). Covers informed consent requirements including risks of transfers without adequacy decisions or appropriate safeguards, specific destination country disclosure, and the narrow scope of derogation-based transfers.

中文简介正在准备中。当前显示原文说明。

mukul975/Privacy-Data-Protection-Skills3132026年3月17日 更新

Review CSS animations for properties that cause costly layout updates, then suggest changes using transform and opacity. Check how effects look across screen sizes and interaction states, including support for users who prefer reduced motion.

中文简介正在准备中。当前显示英语简介。

  • Reviewing animations that stutter
  • Replacing position and size animations
  • Checking reduced motion support
thedaviddias/Front-End-Checklist7.5万2026年10月6日 更新

Prepare text for language models using HuggingFace Tokenizers, which splits text into model-readable units. Train custom vocabularies, process batches, track original text positions, and configure input lengths for use with transformers.

中文简介正在准备中。当前显示英语简介。

  • Preparing large text collections for language models
  • Training a tokenizer on domain-specific text
  • Mapping model outputs back to original text
davila7/claude-code-templates3.3万2026年10月18日 更新

After the learner demonstrates understanding of a concept, present near-transfer and far-transfer challenges. Use to test whether learning is portable or task-specific — this is what separates understanding from familiarity.

中文简介正在准备中。当前显示原文说明。

GarethManning/education-agent-skills8782026年8月29日 更新

Guides the post-Schrems II Transfer Impact Assessment process following EDPB Recommendations 01/2020 six-step methodology. Covers assessment of third country legal frameworks, supplementary measures evaluation, and TIA scoring. Activate for international data transfers, SCCs, third-country adequacy, or Chapter V compliance. Keywords: TIA, Schrems II, transfer assessment, EDPB, supplementary measures, SCCs, international transfer.

中文简介正在准备中。当前显示原文说明。

mukul975/Privacy-Data-Protection-Skills3132026年3月17日 更新

Guides implementation of UK international data transfer mechanisms post-Brexit including the International Data Transfer Agreement (IDTA), UK Addendum to EU SCCs, UK adequacy assessments, and ICO transfer risk assessment tool. Keywords: UK IDTA, UK addendum, ICO TRA, post-Brexit transfers, UK GDPR.

中文简介正在准备中。当前显示原文说明。

mukul975/Privacy-Data-Protection-Skills3132026年3月17日 更新

After the learner demonstrates understanding of a concept, present near-transfer and far-transfer challenges. Use to test whether learning is portable or task-specific — this is what separates understanding from familiarity.

中文简介正在准备中。当前显示原文说明。

nota-america/forgecat-agent-profiles912026年9月24日 更新

"Apply the three-level framework of digital transformation — Digitization, Digitalization, and Digital Transformation — to diagnose and plan organizational change enabled by digital technologies. Use this skill when the user needs to assess an organization's digital maturity, distinguish between automating processes versus transforming business models, plan a DX roadmap, or when they ask 'where are we on digital transformation', 'is this digitization or real transformation', or 'how do we build a DX strategy'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

Use when re-assigning record OwnerId across many records — territory realignment, employee departure, region split, integration cleanup. Triggers: 'mass transfer accounts', 'reassign opportunities to new owner', 'transfer all records on user deactivation', 'OwnerId migration', 'mass transfer records tool', 'bulk owner change', 'transfer before deactivating user', 'account team lost after owner change', 'assignment rule overrode my OwnerId column', 'defer sharing calculations', 'roll back an owner transfer'. NOT for auto-assigning new records — use admin/assignment-rules. NOT for territory assignment data — use data/territory-data-alignment.

中文简介正在准备中。当前显示原文说明。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新