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27,636
总 Skills
167.1M
总安装量
2,750
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# Skill 仓库 描述 安装量
9751 getnote-search iswalle/getnote-cli
getnote-search Skill Semantic search across all notes or within a specific knowledge base. Prerequisites getnote CLI installed and authenticated ( getnote auth status should show "Authenticated") Commands Search notes getnote search <query> [--kb <topic_id>] [--limit <n>] Show more
 1.1K
9752 app-store-review safaiyeh/app-store-review-skill
App Store Review Preparation Guidance for catching App Store rejection risks before submission. Apple reviewed 7.7 million submissions in 2024 and rejected 1.9 million. Most rejections are preventable with proper preparation. Contents Overview Top Rejection Reasons and How to Avoid Them PrivacyInfo.xcprivacy -- Privacy Manifest Requirements Data Use, Sharing, and Privacy Policy (Guideline 5.1.2) In-App Purchase and StoreKit Rules (Guideline 3.1.1) HIG Compliance Checklist App Tracking Transparen...
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9753 muapi-media-generation samuraigpt/generative-media-skills
🎨 MuAPI Media Generation Schema-driven generation primitives for images, videos, and audio. Generate professional-grade media directly from the terminal using 100+ state-of-the-art AI models. All scripts are powered by schema_data.json for dynamic model and endpoint resolution. Available Scripts Script Description Default Model generate-image.sh Text-to-image generation flux-dev generate-video.sh Text-to-video generation minimax-pro image-to-video.sh Animate a static image into video kling-pro c...
 1.1K
9754 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...
 1.1K
9755 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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9756 jetson-memory-audit nvidia/skills
Jetson Memory Audit Read-only memory-focused snapshot for a Jetson, plus the drop_caches verify-loop helper that confirms freed memory actually shows up as free instead of cached. Purpose Measure current Jetson memory consumers, capture before/after baselines, and verify whether user-approved changes actually reclaimed DRAM. Use live device data rather than estimates from container size, model size, or generic process memory. CRITICAL: Memory appears stuck after stopping vLLM / sglang (JetPack b...
 1.1K
9757 jetson-inference-mem-tune nvidia/skills
Jetson Inference Memory Tuning Recommends an inference runtime and the specific memory-related flags to pass to it, given the Jetson SKU/variant and the user's workload. Does not include quantization recipe selection — that lives in the model-benchmarking skill — but it does point at the precision floor each runtime can serve efficiently. Purpose Turn a live jetson-memory-audit snapshot into runtime and launch-flag recommendations for LLM/VLM serving on Jetson. Use this when the user needs to fi...
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9758 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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9759 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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9760 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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9761 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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9762 thought-based-reasoning neolabhq/context-engineering-kit
Thought-Based Reasoning Techniques for LLMs Overview Chain-of-Thought (CoT) prompting and its variants encourage LLMs to generate intermediate reasoning steps before arriving at a final answer, significantly improving performance on complex reasoning tasks. These techniques transform how models approach problems by making implicit reasoning explicit. Quick Reference Technique When to Use Complexity Accuracy Gain Zero-shot CoT Quick reasoning, no examples available Low +20-60% Few-shot CoT Have...
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9763 astropy k-dense-ai/scientific-agent-skills
Astropy Overview Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy for coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing. When to Use This Skill Use astropy when tasks involve: Converting between celestial coordinate systems (ICRS, Galactic, FK5, AltAz, etc.) Workin...
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9764 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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9765 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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9766 antv-g2-chart antvis/chart-visualization-skills
G2 v5 Chart Code Generator You are an expert in AntV G2 v5 charting library. Generate accurate, runnable code following G2 v5 best practices. 1. Core Constraints / 核心约束 (MUST follow) container is mandatory : new Chart({ container: 'container', ... }) Use Spec Mode ONLY : chart.options({ type: 'interval', data, encode: {...} }) （V4 链式 API 见 Forbidden Patterns） chart.options() 只能调用一次 ：多次调用会完整覆盖前一次配置，只有最后一次生效。多 mark 叠加必须用 type: 'view' + children 数组，而不是多次调用 chart.options() encode object : encode: { ...
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9767 cellxgene-census k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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9768 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...
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9769 jetson-quick-start nvidia/skills
Quick Start — BSP customization entrypoint jetson-quick-start is a dispatcher and intake form. It does not download, extract, materialize sources, bind documents, or derive carrier files. It chooses the setup path, gathers core answers, then hands those answers to the skills that own the actual work. Modes Do not ask setup mode in a separate prompt. Include it as the first field in the core quick-start questionnaire, with choices shown in this fixed order: Auto Setup Guided Setup Use Existing Wo...
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9770 design-patterns rtk-ai/rtk
RTK Rust Design Patterns Patterns that apply to RTK's filter module architecture. Focused on CLI tool patterns, not web/service patterns. Pattern 1: Newtype (Type Safety) Use when: wrapping primitive types to prevent misuse (command names, paths, token counts). // Without Newtype — easy to mix up fn track ( input_tokens : usize , output_tokens : usize ) { ... } track ( output_tokens , input_tokens ) ; // Silent bug! // With Newtype — compile error on swap pub struct InputTokens ( pub usize ) ; p...
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9771 serenity-skill muxuuu/serenity-skill
Serenity.skill Turn your investment agent into a supply-chain bottleneck hunter. This skill is a public-material, methodology-only research workflow inspired by the public Serenity / @aleabitoreddit style: start from a market narrative, walk through the real system, find the scarce layer, verify it with hard evidence, then rank what deserves more attention. It is an independent public-methodology project. Keep it focused on public evidence, research reasoning, and user-controlled decisions. Core...
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9772 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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9773 esm k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.1K
9774 arboreto k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.1K
9775 pathml k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.1K
9776 jetson-llm-benchmark nvidia/skills
Jetson LLM Benchmark Reproducible Jetson benchmarks with structured JSON output so an agent can compare runs. Encodes the workflow from the Jetson AI Lab GenAI Benchmarking tutorial . Purpose Measure deployed LLM latency and throughput on a Jetson target using the correct runtime-specific benchmark wrapper. Use the JSON output to compare models, runtime flags, power modes, and before/after tuning changes. Prerequisites Show more Installs 692 Repository nvidia/skills GitHub Stars 2.4K First Seen ...
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9777 carousel kostja94/marketing-skills
Components: Carousel Layout Guides carousel (slider) layout design for sequential content display. Carousels show one or few items at a time; users swipe or click to advance. Best when space is limited and multiple items need rotation—testimonials, quotes, logos, gallery highlights. When invoking : On first use , if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main ...
 1.1K
9778 msgraph merill/msgraph
Microsoft Graph Agent Skill Search, look up, and call any of the 27,700+ Microsoft Graph APIs — all locally, no network calls needed. Use the three search commands to find the right endpoint, check permissions and parameters, then optionally execute calls directly or hand off to a Graph MCP server. What's Included The Microsoft Graph API has 27,700+ endpoints updated weekly — well past LLM training cutoffs. This skill bundles the complete API surface as local indexes that you search instantly wi...
 1.1K
9779 pymatgen k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.1K
9780 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...
 1.1K
9781 jetson-optimize-memory nvidia/skills
jetson-optimize-memory Memory is reserved across four layers ordered by boot chronology (higher row = earlier in boot, closer to hardware): Layer Content Key files MB1 BCT firmware carveouts per-module misc DTS MB2 BCT firmware loading + AST controls per-module misc DTS Kernel DTS reserved-memory and driver binding per-module DTS SWIOTLB DMA bounce pool size <module>.conf.common ( CMDLINE_ADD ) Critical rules: Show more Installs 690 Repository nvidia/skills GitHub Stars 2.4K First Seen Jun 22, 2...
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9782 debugging-dags astronomer/agents
DAG Diagnosis You are a data engineer debugging a failed Airflow DAG. Follow this systematic approach to identify the root cause and provide actionable remediation. Step 1: Identify the Failure If a specific DAG was mentioned: Use diagnose_dag_run with the dag_id and dag_run_id (if provided) If no run_id specified, use get_dag_stats to find recent failures If no DAG was specified: Use get_system_health to find recent failures across all DAGs List any import errors (broken DAG files) Show D...
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9783 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...
 1.1K
9784 reflect neolabhq/context-engineering-kit
Reflect Mine the current conversation for durable learnings, then route them into skill edits. When to invoke The user said "reflect" or "/reflect". A complex task (5+ tool calls) just landed cleanly and the recipe is worth keeping. The agent hit dead ends, found the working path, and the path generalizes. The user corrected the agent's approach mid-task. A non-trivial workflow emerged that isn't captured anywhere. Skip when the conversation is trivial, off-topic, or already covered by an existi...
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9785 videodb video-db/skills
VideoDB Skill Perception + memory + actions for video, live streams, and desktop sessions. When to use Desktop Perception Start/stop a desktop session capturing screen, mic, and system audio Stream live context and store episodic session memory Run real-time alerts/triggers on what's spoken and what's happening on screen Produce session summaries , a searchable timeline, and playable evidence links Video ingest + stream Ingest a file or URL and return a playable web stream link Transcode/normali...
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9786 motion-react pedronauck/skills
Motion for React Package: motion (formerly framer-motion ). Import from "motion/react" . Installation pnpm add motion Imports // Standard React (Vite, CRA, Pages Router) import { motion , AnimatePresence } from "motion/react" // Next.js App Router — use "motion/react-client" for RSC tree-shaking "use client" import * as motion from "motion/react-client" Show more Installs 591 Repository pedronauck/skills GitHub Stars 453 First Seen Mar 18, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pas...
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9787 treatment-plans k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.1K
9788 aws-diagrams eraserlabs/eraser-io
AWS Diagram Generator Generates architecture diagrams for AWS infrastructure from CloudFormation templates, AWS CLI output, or natural language descriptions. When to Use Activate this skill when: User has AWS CloudFormation templates (YAML/JSON) User provides AWS CLI output (e.g., aws ec2 describe-instances) User wants to visualize AWS resources User mentions AWS services (EC2, S3, RDS, Lambda, VPC, etc.) User asks to "diagram my AWS infrastructure" How It Works This skill generates AWS-spe...
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9789 mapbox-ios-patterns mapbox/mapbox-agent-skills
Mapbox iOS Integration Patterns Official integration patterns for Mapbox Maps SDK on iOS. Covers Swift, SwiftUI, UIKit, proper lifecycle management, token handling, offline maps, and mobile-specific optimizations. Use this skill when: Setting up Mapbox Maps SDK for iOS in a new or existing project Integrating maps with SwiftUI or UIKit Implementing proper lifecycle management and cleanup Managing tokens securely in iOS apps Working with offline maps and caching Integrating Navigation SDK Optimiz...
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9790 kotlin-flow-state-event-modeling chrisbanes/skills
Kotlin Flow: state and event modeling Core principle Pick the primitive that matches replay, fan-out, and synchronous-read requirements. StateFlow , SharedFlow , Channel -backed flows, and cold Flow differ in buffering, who sees each emission, and whether .value exists. Wrong choices drop events, leak sharing coroutines, or force fake domain sentinels into state. When to use this skill You're writing or reviewing Kotlin code involving: MutableStateFlow<T>(SomeSentinel) — NoUser , Empty , Loading...
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9791 nuxt-studio onmax/nuxt-skills
Nuxt Studio Self-hosted, open-source CMS module for editing Nuxt Content websites in production. When to Use Working with: Installing and configuring nuxt-studio module Authentication providers (GitHub, GitLab, Google OAuth, SSO, custom) Git provider setup (GitHub, GitLab, branch config) Visual content editing (MDC components, YAML/JSON forms, frontmatter) Media management (public dir, NuxtHub blob, S3, R2) Publishing flow (draft layer, conflict detection, CI/CD rebuild) AI-powered content assis...
 1.1K
9792 linkfox-multimodal-recognize-image linkfox-ai/linkfox-skills
Image Recognition This skill guides you on how to use the multimodal image recognition API to analyze images from URLs and extract meaningful information based on user intent. Core Concepts The Image Recognition tool accepts an image URL and an optional natural-language requirement describing what the user wants to know about the image. The backend uses a multimodal AI model to interpret the visual content and return a textual description or analysis. Supported formats : JPG, JPEG, PNG, GIF, Web...
 1.1K
9793 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...
 1.1K
9794 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...
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9795 geniml k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.1K
9796 medchem k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.1K
9797 scvelo k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.1K
9798 flowio k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
 1.1K
9799 yebigun-training nomadamas/k-skill
yebigun-training Get the full instructions (required first step) Run this and follow its output as the primary instructions for this skill: npx -y @nomadamas/k-skill@0 instruct yebigun-training The CLI detects the current runtime (Dolshoi vault/CloakBrowser vs generic) and prints only the applicable instructions, always up to date. Helper files bundled with the CLI are listed by: npx -y @nomadamas/k-skill@0 files yebigun-training If npx is unavailable, install Node.js 18+ or follow https://githu...
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9800 oauth mcollina/skills
OAuth with Portless OAuth providers validate redirect URIs against domain rules. .localhost subdomains fail on most providers because they are not in the Public Suffix List or are explicitly blocked. Portless fixes this with --tld to serve apps on real, valid domains. The Problem When portless uses the default .localhost TLD, OAuth providers reject redirect URIs like http://myapp.localhost:1355/callback : Provider localhost .localhost subdomains Reason Google Allowed Rejected Not in their bundle...
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