Overview CLI FAQ

Agent Skills 排行榜 · 关键词 + 语义搜索

按 / 聚焦搜索框
正在使用 AI 进行语义搜索...
29,276
总 Skills
228.5M
总安装量
2,816
贡献者
# Skill 仓库 描述 安装量
9501 pyhealth k-dense-ai/scientific-agent-skills
PyHealth PyHealth ( https://pyhealth.dev/ ) is a Python toolkit for clinical deep learning. It provides a unified, modular pipeline across electronic health records (EHR), physiological signals, and medical imaging. The library is built around a 5-stage pipeline — Dataset → Task → Model → Trainer → Metrics — where each stage is replaceable and the interfaces between stages are stable. Code that follows this pipeline shape composes well; code that bypasses it usually fights the library. When to u...
 1.7K
9502 pydeseq2 k-dense-ai/scientific-agent-skills
PyDESeq2 Overview PyDESeq2 is a Python implementation of DESeq2 for differential expression analysis with bulk RNA-seq data. Design and execute complete workflows from data loading through result interpretation, including single-factor and multi-factor designs, Wald tests with multiple testing correction, optional apeGLM shrinkage, and integration with pandas and AnnData. When to Use This Skill This skill should be used when: Analyzing bulk RNA-seq count data for differential expression Comparin...
 1.7K
9503 datamol k-dense-ai/scientific-agent-skills
Datamol Cheminformatics Skill Overview Datamol is a Python library that provides a lightweight, Pythonic abstraction layer over RDKit for molecular cheminformatics. Simplify complex molecular operations with sensible defaults, efficient parallelization, and modern I/O capabilities. All molecular objects are native rdkit.Chem.Mol instances, ensuring full compatibility with the RDKit ecosystem. Key capabilities : Molecular format conversion (SMILES, SELFIES, InChI) Structure standardization and sa...
 1.7K
9504 torchdrug k-dense-ai/scientific-agent-skills
TorchDrug Overview TorchDrug is a comprehensive PyTorch-based machine learning toolbox for drug discovery and molecular science. Apply graph neural networks, pre-trained models, and task definitions to molecules, proteins, and biological knowledge graphs, including molecular property prediction, protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis planning, with 40+ curated datasets and 20+ model architectures. When to Use This Skill This skill should be used when wo...
 1.7K
9505 okx starchild-ai-agent/official-skills
OKX OnChainOS — Skills Directory What this file is: a directory page that points to OKX's official onchainos-skills repo. It contains no logic of its own — every sub-skill below lives upstream at okx/onchainos-skills and is fetched fresh on install, so you always get the latest version. OKX OnChainOS is a suite of 22 specialized sub-skills covering on-chain trading, market analytics, smart-money signals, DeFi investing & positions, cross-chain bridging, wallet ops, security scanning, payment pro...
 1.7K
9506 imaging-data-commons k-dense-ai/scientific-agent-skills
Imaging Data Commons Overview Use the idc-index Python package to query and download public cancer imaging data from the National Cancer Institute Imaging Data Commons (IDC). No authentication required for data access. Current IDC Data Version: v23 (always verify with IDCClient().get_idc_version() ) Primary tool: idc-index ( GitHub ) CRITICAL - Check package version and upgrade if needed (run this FIRST): import idc_index REQUIRED_VERSION = "0.11.14" Must match metadata.idc-index in this file i...
 1.7K
9507 cellxgene-census k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9508 pymatgen k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9509 molecular-dynamics k-dense-ai/scientific-agent-skills
Molecular Dynamics Overview Molecular dynamics (MD) simulation computationally models the time evolution of molecular systems by integrating Newton's equations of motion. This skill covers two complementary tools: OpenMM ( https://openmm.org/ ): High-performance MD simulation engine with GPU support, Python API, and flexible force field support MDAnalysis ( https://mdanalysis.org/ ): Python library for reading, writing, and analyzing MD trajectories from all major simulation packages Installatio...
 1.7K
9510 adaptyv k-dense-ai/scientific-agent-skills
Adaptyv Bio Foundry API Adaptyv Bio is a cloud lab that turns protein sequences into experimental data. Users submit amino acid sequences via API or UI; Adaptyv's automated lab runs assays (binding, thermostability, expression, fluorescence) and delivers results in ~21 days. Quick Start Base URL: https://foundry-api-public.adaptyvbio.com/api/v1 Authentication: Bearer token in the Authorization header. Tokens are obtained from foundry.adaptyvbio.com sidebar. When writing code, always read the API...
 1.7K
9511 zarr-python k-dense-ai/scientific-agent-skills
Zarr Python Overview Zarr is a Python library for storing large N-dimensional arrays with chunking and compression. Apply this skill for efficient parallel I/O, cloud-native workflows, and seamless integration with NumPy, Dask, and Xarray. Quick Start Installation uv pip install zarr Requires Python 3.11+. For cloud storage support, install additional packages: uv pip install s3fs For S3 uv pip install gcsfs For Google Cloud Storage Show more
 1.7K
9512 fluidsim k-dense-ai/scientific-agent-skills
FluidSim Overview FluidSim is an object-oriented Python framework for high-performance computational fluid dynamics (CFD) simulations. It provides solvers for periodic-domain equations using pseudospectral methods with FFT, delivering performance comparable to Fortran/C++ while maintaining Python's ease of use. Key strengths : Multiple solvers: 2D/3D Navier-Stokes, shallow water, stratified flows High performance: Pythran/Transonic compilation, MPI parallelization Complete workflow: Parameter co...
 1.7K
9513 arboreto k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9514 scvi-tools k-dense-ai/scientific-agent-skills
scvi-tools Deep Learning Skill This skill provides guidance for deep learning-based single-cell analysis using scvi-tools, the leading framework for probabilistic models in single-cell genomics. How to Use This Skill Identify the appropriate workflow from the model/workflow tables below Read the corresponding reference file for detailed steps and code Use scripts in scripts/ to avoid rewriting common code For installation or GPU issues, consult references/environment_setup.md For debugging, cons...
 1.7K
9515 neurokit2 k-dense-ai/scientific-agent-skills
NeuroKit2 Overview NeuroKit2 is a comprehensive Python toolkit for processing and analyzing physiological signals (biosignals). Use this skill to process cardiovascular, neural, autonomic, respiratory, and muscular signals for psychophysiology research, clinical applications, and human-computer interaction studies. When to Use This Skill Apply this skill when working with: Cardiac signals : ECG, PPG, heart rate variability (HRV), pulse analysis Brain signals : EEG frequency bands, microstates, c...
 1.7K
9516 dhdna-profiler k-dense-ai/scientific-agent-skills
DHDNA Profiler — Cognitive Pattern Extraction A structured system for extracting the cognitive fingerprint of any text's author. Based on the Digital Human DNA (DHDNA) framework — the theory that every mind has a unique signature pattern expressed through how it reasons, decides, values, and communicates. Published research: DHDNA Pre-print (DOI: 10.5281/zenodo.18736629) | IDNA Consolidation v2 (DOI: 10.5281/zenodo.18807387) Core Concept Just as biological DNA encodes physical identity through b...
 1.7K
9517 esm k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9518 pysam k-dense-ai/scientific-agent-skills
Pysam Overview Pysam is a Python module for reading, manipulating, and writing genomic datasets. Read/write SAM/BAM/CRAM alignment files, VCF/BCF variant files, and FASTA/FASTQ sequences with a Pythonic interface to htslib. Query tabix-indexed files, perform pileup analysis for coverage, and execute samtools/bcftools commands. When to Use This Skill This skill should be used when: Working with sequencing alignment files (BAM/CRAM) Analyzing genetic variants (VCF/BCF) Extracting reference sequenc...
 1.7K
9519 translate-book deusyu/translate-book
Book Translation Skill You are a book translation assistant. You translate entire books from one language to another by orchestrating a multi-step pipeline. Workflow 1. Collect Parameters Determine the following from the user's message: file_path : Path to the input file (PDF, DOCX, or EPUB) — REQUIRED target_lang : Target language code (default: zh ) — e.g. zh, en, ja, ko, fr, de, es concurrency : Number of parallel sub-agents per batch (default: 8 ) custom_instructions : Any additional transla...
 1.7K
9520 tax-prep anthropics/knowledge-work-plugins
Run the tax prep workflow using the tax-season-organizer skill. Act immediately — the user typed /tax-prep, so skip the discovery phase. Parse arguments: --mode (default: infer from date — Q1-Q3 defaults to quarterly , Q4/Jan defaults to both ) — quarterly for estimated tax payment, 1099 for year-end 1099-NEC prep, both for combined --year (default: current year) Framing: Open every deliverable with "Prepared for review by your accountant — not tax advice." Step 1 — Determine mode If --mode was ...
 1.7K
9521 gpt-taste nexu-io/open-design
CORE DIRECTIVE: AWWWARDS-LEVEL DESIGN ENGINEERING You are an elite, award-winning frontend design engineer. Standard LLMs possess severe statistical biases: they generate massive 6-line wrapped headings by using narrow containers, leave ugly empty gaps in bento grids, use cheap meta-labels ("QUESTION 05", "SECTION 01"), output invisible button text, and endlessly repeat the same Left/Right layouts. Your goal is to aggressively break these defaults. Your outputs must be highly creative, perfectly...
 1.7K
9522 pathml k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9523 idea-validator buildgreatproducts/builder-os
Validate — Pressure-Test the Idea This skill pressure-tests a product idea before the founder invests in planning, building, or launching. It surfaces fatal flaws, tests whether the problem is real, maps actual competition (including current behavior), defines the smallest 2-week MVP test, and returns a direct strong / weak / pivot verdict. The Idea Validator sits between the Idea Generator and Product Planner skills in the BuilderOS pipeline. It also runs fully standalone — if no docs/product-i...
 1.7K
9524 od-contribute nexu-io/open-design
od-contribute — first-contribution flow for Open Design Locked to nexu-io/open-design . Branches by contribution type , not by issue. Replaces the dev-loop with type-specific no-code validators. Designed so a product user with zero coding background can ship a real PR. Language Mirror the user's language in every user-facing message — AskUserQuestion labels and descriptions, status updates, error explanations. Detect from their first message; when uncertain, default to English. Generated artifac...
 1.7K
9525 diffdock k-dense-ai/scientific-agent-skills
DiffDock: Molecular Docking with Diffusion Models Overview DiffDock is a diffusion-based deep learning tool for molecular docking that predicts 3D binding poses of small molecule ligands to protein targets. It represents the state-of-the-art in computational docking, crucial for structure-based drug discovery and chemical biology. Core Capabilities: Predict ligand binding poses with high accuracy using deep learning Support protein structures (PDB files) or sequences (via ESMFold) Process single...
 1.7K
9526 depmap k-dense-ai/scientific-agent-skills
DepMap — Cancer Dependency Map Overview The Cancer Dependency Map (DepMap) project, run by the Broad Institute, systematically characterizes genetic dependencies across hundreds of cancer cell lines using genome-wide CRISPR knockout screens (DepMap CRISPR), RNA interference (RNAi), and compound sensitivity assays (PRISM). DepMap data is essential for: Identifying which genes are essential for specific cancer types Finding cancer-selective dependencies (therapeutic targets) Validating oncology dr...
 1.7K
9527 phylogenetics k-dense-ai/scientific-agent-skills
Phylogenetics Overview Phylogenetic analysis reconstructs the evolutionary history of biological sequences (genes, proteins, genomes) by inferring the branching pattern of descent. This skill covers the standard pipeline: MAFFT — Multiple sequence alignment IQ-TREE 2 — Maximum likelihood tree inference with model selection FastTree — Fast approximate maximum likelihood (for large datasets) ETE3 — Python library for tree manipulation and visualization Installation: Conda (recommended for CLI too...
 1.7K
9528 launch-checklist buildgreatproducts/builder-os
Launch Checklist This skill turns "the app works on my machine" into "customers can use it." It reviews the actual codebase, works out everything standing between the current state and a live product, and writes a personalised, step-by-step guide the founder can follow without a technical background. The voice is a patient senior engineer onboarding a smart non-technical founder: plain language, no unexplained jargon, never condescending. The founder is capable — they just haven't done this befo...
 1.7K
9529 content-strategy anthropics/knowledge-work-plugins
Content Strategy You are a content strategist. Your goal is to help plan content that drives traffic, builds authority, and generates leads by being either searchable, shareable, or both. Before Planning Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. Gather this context (a...
 1.7K
9530 redis-semantic-cache redis/agent-skills
Redis Semantic Cache Semantic caching for LLM responses with Redis Cloud's LangCache service. Stores prompts as embeddings; subsequent semantically-similar prompts return the cached response without re-calling the model. LangCache is currently in preview on Redis Cloud. Features and behavior may change. When to apply Wrapping an LLM call (OpenAI, Anthropic, etc.) with a cache layer to cut cost and latency. Caching RAG answers, classification outputs, or any deterministic LLM workload. Tuning the...
 1.7K
9531 treatment-plans k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9532 geniml k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9533 medchem k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9534 scvelo k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9535 pytdc k-dense-ai/scientific-agent-skills
PyTDC (Therapeutics Data Commons) Overview PyTDC is an open-science platform providing AI-ready datasets and benchmarks for drug discovery and development. Access curated datasets spanning the entire therapeutics pipeline with standardized evaluation metrics and meaningful data splits, organized into three categories: single-instance prediction (molecular/protein properties), multi-instance prediction (drug-target interactions, DDI), and generation (molecule generation, retrosynthesis). When to ...
 1.7K
9536 pyopenms k-dense-ai/scientific-agent-skills
PyOpenMS Overview PyOpenMS provides Python bindings to the OpenMS library for computational mass spectrometry, enabling analysis of proteomics and metabolomics data. Use for handling mass spectrometry file formats, processing spectral data, detecting features, identifying peptides/proteins, and performing quantitative analysis. Installation Install using uv: uv pip install pyopenms Verify installation: Show more
 1.7K
9537 flowio k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9538 gtars k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9539 molfeat k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9540 usfiscaldata k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9541 etetoolkit k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9542 histolab k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9543 cirq k-dense-ai/scientific-agent-skills
Cirq - Quantum Computing with Python Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators. Installation uv pip install cirq For hardware integration: Google Quantum Engine uv pip install cirq-google IonQ uv pip install cirq-ionq Show more
 1.7K
9544 cobrapy k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9545 harvard-artifacts-etl-pipeline reason-machines/data-skills
Harvard Artifacts ETL Pipeline Skill by ara.so — Data Skills collection. This skill enables AI coding agents to help developers build end-to-end data engineering pipelines using the Harvard Art Museums API. The project demonstrates real-world ETL patterns, SQL database design, analytical queries, and interactive visualization using Streamlit. What This Project Does The Harvard Artifacts Collection application: Fetches artifact data from Harvard Art Museums API with pagination Transforms nested J...
 1.7K
9546 snowflake-dbt-airbnb-analytics reason-machines/data-skills
Snowflake dbt Airbnb Analytics Skill by ara.so — Data Skills collection. This project demonstrates a complete analytics engineering workflow using Snowflake, dbt, and Streamlit. It loads Inside Airbnb open data into Snowflake, transforms it through a layered dbt architecture (staging → intermediate → marts), validates data quality with tests, and serves insights via a Streamlit dashboard. What This Project Does Raw data ingestion : Loads CSV/GZIP files from Inside Airbnb into Snowflake internal ...
 1.7K
9547 quick-mockups civitai/civitai
Create multiple design mockups in parallel using the `design-mockup` agent. Usage When asked to create mockups for a feature: - Create the output directory if it doesn't exist: ``` docs/working/mockups/<feature-name>/ ``` - Launch 3-5 parallel mockup agents using the Task tool with `subagent_type: design-mockup` - Each agent creates a unique variation with different: Layout approaches (grid, list, masonry, cards) - Information hierarchy - Visual emphasis - Interaction patterns D...
 1.7K
9548 matchms k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9549 pennylane k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9550 protocolsio-integration k-dense-ai/scientific-agent-skills
Protocols.io Integration Overview Protocols.io is a comprehensive platform for developing, sharing, and managing scientific protocols. This skill provides complete integration with the protocols.io API v3, enabling programmatic access to protocols, workspaces, discussions, file management, and collaboration features. When to Use This Skill Use this skill when working with protocols.io in any of the following scenarios: Show more
 1.7K