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Topic: skills

17,247 skills in this topic.

uniprot-database Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
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umap-learn UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
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transformers This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
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torchdrug PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
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statistical-analysis Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.
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stable-baselines3 Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.
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assert Test assertion module for validating expected behaviors, outputs, and environment states. Core Scenario: When the user is writing tests or scripts that require verification of commands, files, or variables.
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bun High-performance JavaScript runtime and package manager module. Core Scenario: When the user needs an extremely fast JS/TS runtime or package manager for local development.
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cd Enhanced cd command with history navigation, fuzzy search, and directory aliases. Core Scenario: When the user needs to quickly jump between historical paths or search for subdirectories using keywords.
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ccmd Cache command execution results to avoid repeated execution of time-consuming tasks. Core Scenario: When the user needs to speed up workflows involving slow network requests (curl) or complex local queries.
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dingtalk Send messages to DingTalk groups using bot webhooks, supporting Markdown and interactive cards. Core Scenario: When the user needs to automate notifications or send interactive messages to a DingTalk group.
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deno Enhanced Deno module for running modern JavaScript and TypeScript with zero setup. Core Scenario: When the user needs to execute TypeScript scripts or manage Deno-based applications.
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find Search for files and directories in a directory hierarchy with an interactive FZF application. Core Scenario: When the user needs to find files based on name, size, type, or other metadata.
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ip Network diagnostics and IP geolocation query. Core Scenario: When AI needs to query local network configuration or geographic info of remote server IPs.
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id Enhanced user identity information with colorful and structured output. Core Scenario: When the user needs to check UID, GID, and group memberships in a highly readable format.
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hostname Manage the system's hostname, including viewing current name and setting new names. Core Scenario: When the user needs to identify the device name or change the system hostname.
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hi Display detailed HTTP information and network metadata. Core Scenario: When the user needs a quick summary of their current HTTP environment or request headers.
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grok Integrate xAI Grok for intelligent chat and real-time information processing. Core Scenario: When the user wants to use Grok models for advanced reasoning or real-time query answers via CLI.
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gitconfig Manage Git configurations using YAML files for structured and portable setup. Core Scenario: When the user needs to apply complex Git configurations or migrate settings via YAML.
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gh Enhanced GitHub CLI for managing repositories, issues, PRs, actions, and GitHub Models. Core Scenario: When the user needs to automate GitHub workflows, manage secrets, or use GitHub's AI models via CLI.
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gg Search the web using Google Gemini AI, combining search results with AI-generated answers. Core Scenario: When the user needs real-time information from the web with AI-summarized responses and source citations.
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gemini Integrate Google Gemini AI for chat, text analysis, and multimodal tasks like image understanding. Core Scenario: When the user wants to use Gemini models for advanced chat, translation with file context, or analyzing images via CLI.
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ll Search and list information about files, archives, and operating system resources using fzf. Core Scenario: When the user needs an interactive way to explore file metadata or system resource summaries.
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kimi Enhancement module for kimi-cli, integrating AI programming capabilities into the terminal workflow. Core Scenario: When the user wants to launch the Kimi Code agent for coding assistance, upgrades, or session management.
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