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29,278
总 Skills
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# Skill 仓库 描述 安装量
9501 apollo-router apollographql/skills
Apollo Router Config Generator Apollo Router is a high-performance graph router written in Rust for running Apollo Federation 2 supergraphs. It sits in front of your subgraphs and handles query planning, execution, and response composition. This skill generates version-correct configuration. Router v1 and v2 have incompatible config schemas in several critical sections (CORS, JWT auth, connectors). Always determine the target version before generating any config. Step 1: Version Selection Ask th...
 1.7K
9502 list-npm-package-content vercel/ai
List npm Package Content This skill lists the exact contents of an npm package tarball - the same files that would be uploaded to npm and downloaded by users. Usage Run the script from the package directory (e.g., packages/ai): bash scripts/list-package-files.sh The script will build the package, create a tarball, list its contents, and clean up automatically. Understanding Package Contents The files included are determined by: files field in package.json - explicit allowlist of files/d...
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9503 guizang-material-illustration op7418/guizang-material-illustration
Guizang Material Illustration Create supporting illustrations from source text, screenshots, or chart data. The output is an image-generation prompt plan plus generated raster images when image generation is available. This skill focuses on the illustration layer, not the full social-card layout. If the user also needs Xiaohongshu/WeChat card composition, pair this skill with the social-card skill: use this skill for the central illustrations, then place the generated images in the card template...
 1.7K
9504 github-research lingzhi227/agent-research-skills
GitHub Research Skill Trigger Activate this skill when the user wants to: "Find repos for [topic]", "GitHub research on [topic]" "Analyze open-source code for [topic]" "Find implementations of [paper/technique]" "Which repos implement [algorithm]?" Uses /github-research <deep-research-output-dir> slash command Overview This skill systematically discovers, evaluates, and deeply analyzes GitHub repositories related to a research topic. It reads deep-research output (paper database, phase reports, ...
 1.7K
9505 rev-unicorn-debug p4nda0s/reverse-skills
rev-unicorn-debug - Unicorn Emulation Debugger Debug and emulate specific code fragments or functions using the Unicorn engine. Analyze context dependencies (JNI, syscalls, library functions) and simulate them through hook mechanisms to complete the user's debugging goal. Core Principles Load file raw first — do NOT parse ELF/PE/Mach-O headers. Read the file as raw bytes and map directly into Unicorn memory. We only need to emulate specific functions, not the entire binary. If raw loading fails ...
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9506 vaex k-dense-ai/scientific-agent-skills
Vaex Overview Vaex is a high-performance Python library designed for lazy, out-of-core DataFrames to process and visualize tabular datasets that are too large to fit into RAM. Vaex can process over a billion rows per second, enabling interactive data exploration and analysis on datasets with billions of rows. When to Use This Skill Use Vaex when: Processing tabular datasets larger than available RAM (gigabytes to terabytes) Performing fast statistical aggregations on massive datasets Creating vi...
 1.7K
9507 experiment-design lingzhi227/agent-research-skills
Experiment Design Design structured, progressive experiment plans for research papers. Input $0 — Research idea, plan, or method description References 4-stage progressive experiment prompts: ~/.claude/skills/experiment-design/references/stage-prompts.md Scripts Generate experiment design python ~/.claude/skills/experiment-design/scripts/design_experiments.py --plan research_plan.json --output experiment_design.json python ~/.claude/skills/experiment-design/scripts/design_experiments.py --method...
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9508 redesign-existing-projects nexu-io/open-design
Redesign Skill How This Works When applied to an existing project, follow this sequence: Scan — Read the codebase. Identify the framework, styling method (Tailwind, vanilla CSS, styled-components, etc.), and current design patterns. Diagnose — Run through the audit below. List every generic pattern, weak point, and missing state you find. Fix — Apply targeted upgrades working with the existing stack. Do not rewrite from scratch. Improve what's there. Design Audit Typography Check for these probl...
 1.7K
9509 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...
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9510 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...
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9511 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...
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9512 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...
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9513 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...
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9514 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...
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9515 pymatgen k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9516 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...
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9517 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...
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9518 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
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9519 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...
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9520 arboreto k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9521 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...
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9522 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
9523 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...
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9524 esm k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9525 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
9526 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
9527 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
9528 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
9529 pathml k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9530 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
9531 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
9532 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
9533 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
9534 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
9535 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
9536 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...
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9537 treatment-plans k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9538 geniml k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9539 medchem k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9540 scvelo k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9541 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 ...
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9542 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
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9543 flowio k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.7K
9544 gtars k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9545 molfeat k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9546 usfiscaldata k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9547 etetoolkit k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9548 histolab k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9549 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
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9550 cobrapy k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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