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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9351 | kr-whois-lookup | nomadamas/k-skill |
kr-whois-lookup 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 kr-whois-lookup 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 kr-whois-lookup If npx is unavailable, install Node.js 18+ or follow https://github.c...
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1.2K |
| 9352 | to-questionnaire | vinvcn/mattpocock-skills-zh-cn |
Turn something the user can't answer alone into a questionnaire — a Markdown document they hand to one person to fill in async, or fill out together over a meeting. The recipient holds knowledge the user lacks; the questionnaire pulls it out of them. Grill the send, not the subject. Interview the user only about the send , which they can always answer: who it goes to, and what they need back. The questions in the document then target the gap between what the recipient knows and what the user nee...
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1.2K |
| 9353 | security-audit | sickn33/agentic-awesome-skills |
Security Audit You are a security auditor. Your job is to find exploitable vulnerabilities with real impact . Platform terminology This skill is agent-neutral. In the methodology: Task tool means the coding agent's delegation or sub-agent mechanism. research agent means a delegated agent optimized for focused codebase exploration and factual verification. general agent means a delegated agent that can investigate broadly and spawn focused research agents. subagent_type means the equivalent deleg...
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1.2K |
| 9354 | scanpy | k-dense-ai/scientific-agent-skills |
Scanpy: Single-Cell Analysis Overview Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis. When to Use This Skill This skill should be used when: Analyzing single-cell RNA-seq data (.h5ad, 10X, CSV formats) Performing quality control on scRNA-seq datasets Cre...
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1.2K |
| 9355 | research-lookup | k-dense-ai/scientific-agent-skills |
Research Information Lookup Overview This skill provides real-time research information lookup with intelligent backend routing : parallel-cli search (parallel-web skill): Primary and default backend for all research queries. Fast, cost-effective web search with academic source prioritization. Uses parallel-cli search with --include-domains for scholarly sources. Parallel Chat API ( core model): Secondary backend for complex, multi-source deep research requiring extended synthesis (60s-5min late...
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1.2K |
| 9356 | qwencloud-video-generation | qwencloud/qwencloud-ai |
Agent setup : If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session. Qwen Video Generation Generate videos using Wan models. All tasks are asynchronous — submit, then poll until completion. This skill is part of qwencloud/qwencloud-ai . ⚠️ Critical Parameter Differences by Mode: kf2v (First+Last Frame) : Duration is fixed at 5 seconds — other values will fail. Output is silent only . Resolution parameter varies : t2v/r2v/vace use size (e.g. "1280*...
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| 9357 | image-to-code | nexu-io/open-design |
CORE DIRECTIVE: IMAGE-FIRST WEBSITE DESIGN TO CODE You are an elite web design art director and implementation strategist. Your job is not to generate generic website mockups. Your job is to generate premium, artistic, implementation-friendly website section references and then turn them into real frontend. This skill is for: hero sections landing pages marketing sites startup sites editorial brand pages product pages portfolio websites premium multi-section websites redesigns where visual quali...
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1.2K |
| 9358 | maui-shell-navigation | dotnet/skills |
.NET MAUI Shell Navigation Implement page navigation in .NET MAUI apps using Shell. Shell provides URI-based navigation, a flyout menu, tab bars, and a four-level visual hierarchy — all configured declaratively in XAML. When to Use Setting up top-level app navigation with tabs or a flyout menu Navigating between pages programmatically with GoToAsync Passing data between pages via query parameters or object parameters Registering detail-page routes for push navigation Guarding navigation with con...
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1.2K |
| 9359 | glassmorphism | bergside/awesome-design-skills |
Glassmorphism Design System Skill (Universal) Mission You are an expert design-system guideline author for Glassmorphism. Create practical, implementation-ready guidance that can be directly used by engineers and designers. Brand provide fast, reliable communication for individuals, teams, and communities while maintaining a clean interface and high performance across desktop environments. Style Foundations Visual style: clean, high-contrast, bold, enterprise, liquidglass effect, glassmorphism T...
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1.2K |
| 9360 | poteto mode | cursor/plugins |
Poteto mode Non-negotiables Start every multi-step task with a todolist whose first item is to read the Principles section below in full. The principles ground every trigger here. In your reply, name each principle that shaped a decision and the specific choice it changed. A citation with no decision behind it means you skipped its leaf skill; it must trace to a real choice the leaf's rule drove. Remaining triggers: Show more Installs 268 Repository cursor/plugins GitHub Stars 4.4K First Seen Ma...
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| 9361 | remotion-best-practices | vercel-labs/json-render |
When to use Use this skills whenever you are dealing with Remotion code to obtain the domain-specific knowledge. Captions When dealing with captions or subtitles, load the ./rules/subtitles.md file for more information. Using FFmpeg For some video operations, such as trimming videos or detecting silence, FFmpeg should be used. Load the ./rules/ffmpeg.md file for more information. Audio visualization When needing to visualize audio (spectrum bars, waveforms, bass-reactive effects), load the ./rul...
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1.2K |
| 9362 | deeptools | k-dense-ai/scientific-agent-skills |
deepTools: NGS Data Analysis Toolkit Overview deepTools is a comprehensive suite of Python command-line tools designed for processing and analyzing high-throughput sequencing data. Use deepTools to perform quality control, normalize data, compare samples, and generate publication-quality visualizations for ChIP-seq, RNA-seq, ATAC-seq, MNase-seq, and other NGS experiments. Core capabilities: Convert BAM alignments to normalized coverage tracks (bigWig/bedGraph) Quality control assessment (fingerp...
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1.2K |
| 9363 | benchling-integration | k-dense-ai/scientific-agent-skills |
Benchling Integration Overview Benchling is a cloud platform for life sciences R&D. Access registry entities (DNA, proteins), inventory, electronic lab notebooks, and workflows programmatically via Python SDK and REST API. When to Use This Skill This skill should be used when: Working with Benchling's Python SDK or REST API Managing biological sequences (DNA, RNA, proteins) and registry entities Automating inventory operations (samples, containers, locations, transfers) Creating or querying elec...
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1.2K |
| 9364 | 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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| 9365 | rdkit | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
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1.2K |
| 9366 | deepchem | k-dense-ai/scientific-agent-skills |
DeepChem Overview DeepChem is a comprehensive Python library for applying machine learning to chemistry, materials science, and biology. Enable molecular property prediction, drug discovery, materials design, and biomolecule analysis through specialized neural networks, molecular featurization methods, and pretrained models. When to Use This Skill This skill should be used when: Loading and processing molecular data (SMILES strings, SDF files, protein sequences) Predicting molecular properties (...
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1.2K |
| 9367 | 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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1.2K |
| 9368 | dt-obs-gcp | dynatrace/dynatrace-for-ai |
GCP Cloud Infrastructure Monitor and analyze GCP resources using Dynatrace Smartscape and DQL. Query GCP services, manage organizational hierarchy, audit security posture, and track resource ownership across your GCP infrastructure. When to Use This Skill Use this skill when the user needs to work with GCP resources in Dynatrace. Load the reference file for the task type: Show more Installs 765 Repository dynatrace/dynat…e-for-ai GitHub Stars 112 First Seen May 11, 2026 Security Audits Gen Agent...
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1.2K |
| 9369 | maui-safe-area | dotnet/skills |
Safe Area & Edge-to-Edge Layout (.NET 10+) .NET 10 introduces a brand-new, cross-platform safe area API that replaces the legacy iOS-only UseSafeArea and the layout-level IgnoreSafeArea properties. The new SafeAreaEdges property and SafeAreaRegions flags enum give you per-edge, per-control safe area management on Android, iOS, and Mac Catalyst from a single API surface. This is new API surface in .NET 10. If the project targets .NET 9 or earlier, these APIs do not exist. Guide the developer to t...
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1.2K |
| 9370 | migrate-static-to-wrapper | dotnet/skills |
Migrate Static to Wrapper Perform mechanical, codemod-style replacement of static dependency call sites with calls to injected wrapper interfaces or built-in abstractions. Operates on a bounded scope (single file, project, or namespace) so migrations can be done incrementally. When to Use After wrappers have been generated (via generate-testability-wrappers ) or built-in abstractions identified Migrating DateTime.UtcNow → TimeProvider.GetUtcNow() across a project Migrating File.* → IFileSystem.F...
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1.2K |
| 9371 | trading-skills-navigator | tradermonty/claude-trading-skills |
Trading Skills Navigator The interactive on-ramp for this repository. It turns a user's goal into a concrete recommendation: which workflow to run, which skillset (skills-index category) it belongs to, the API requirement , and the setup path for Claude Web App or Claude Code. A new user faces 72 skills + 11 workflows with no router. This skill is that router. It is deterministic — a Python recommender ( scripts/recommend.py ) consumes the repo metadata; this SKILL.md narrates the result convers...
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1.2K |
| 9372 | principle-sequence-verifiable-units | cursor/plugins |
Sequence work into verifiable units Order work as a sequence of small units, each ending in a state you can check, and don't advance until the current one is green. The same discipline runs at two altitudes, how you execute and how you deliver. Why: A break caught at the unit that caused it is cheap to localize. A break caught after a batch is buried, and you have already built further on a broken base. Sequencing those same units into a delivery a reviewer can replay turns "trust me" into "watc...
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1.2K |
| 9373 | keyword-research | kostja94/marketing-skills |
Keyword Research This skill helps you discover, analyze, and prioritize keywords for SEO and GEO content strategies. It identifies high-value opportunities based on search volume, competition, intent, and business relevance. When to Use This Skill Starting a new content strategy or campaign Expanding into new topics or markets Finding keywords for a specific product or service Identifying long-tail keyword opportunities Understanding search intent for your industry Planning content calendars R...
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1.2K |
| 9374 | 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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1.2K |
| 9375 | 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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1.2K |
| 9376 | 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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1.2K |
| 9377 | 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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1.2K |
| 9378 | cellxgene-census | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
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1.2K |
| 9379 | ctx-doctor | mksglu/context-mode |
Context Mode Doctor Run diagnostics and display results directly in the conversation. Instructions Call the ctx_doctor MCP tool directly. It runs all checks server-side and returns a plain-text status report. Display the results verbatim — they are already formatted with plain-text status prefixes: [OK] PASS, [FAIL] FAIL, [WARN] WARN. Renderer-safe (no markdown task-list syntax) for cross-client compatibility (e.g., Z.ai GLM). Fallback (only if MCP tool call fails): Derive the plugin root from t...
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1.2K |
| 9380 | ctx-upgrade | mksglu/context-mode |
Context Mode Upgrade Pull latest from GitHub and reinstall the plugin. Instructions Show more Installs 888 Repository mksglu/context-mode GitHub Stars 19.7K First Seen Mar 8, 2026 Security Audits Gen Agent Trust Hub Fail Socket Warn Snyk Warn
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1.2K |
| 9381 | web-to-app-funnel | eronred/aso-skills |
Web-to-App Funnel You are a web-to-app conversion specialist. Your goal is to design a funnel where web traffic (paid or organic) converts to app installs and activated users with maximum efficiency, optionally paying on web first to bypass App Store fees on subscriptions. Initial Assessment Check for app-marketing-context.md Ask: What web traffic does the user have or plan? (SEO, paid search, social ads with web destination, podcast, newsletter) Ask: Monetization model — subscription (web payme...
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1.2K |
| 9382 | workflow-automation | hubspot/agent-cli-skills |
Workflow Automation When to use this skill Repetitive tasks : running the same commands every time Complex builds : multi-step build processes Team onboarding : a consistent development environment Instructions Step 1: npm scripts package.json : { "scripts" : { "dev" : "nodemon src/index.ts" , "build" : "tsc && vite build" , "test" : "jest --coverage" , "test:watch" : "jest --watch" , "lint" : "eslint src --ext .ts,.tsx" , "lint:fix" : "eslint src --ext .ts,.tsx --fix" , "format" : "prettier --w...
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| 9383 | hunk-review | modem-dev/hunk |
Hunk Review Hunk is an interactive terminal diff viewer. The TUI is for the user -- do NOT run hunk diff , hunk show , or other interactive commands directly. Use hunk session * CLI commands to inspect and control live sessions through the local daemon. If no session exists, ask the user to launch Hunk in their terminal first. Workflow 1. hunk session list find live sessions 2. hunk session get --repo . inspect path / repo / source ...
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| 9384 | effect | kitlangton/skills |
Effect Use current Effect v4 APIs and the production defaults in this skill. Established project conventions still take precedence unless the task is explicitly changing them. Source Rule Check these before guessing: the nearest AGENTS.md and any project-local Effect practices doc the project-pinned effect package source and version current upstream Effect source when the installed package does not answer the question Branch Chooser Read only the branch references that match the task. Show more ...
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| 9385 | qwencloud-ops-auth | qwencloud/qwencloud-ai |
Agent setup : If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session. QwenCloud Authentication Setup Configure and verify authentication for QwenCloud APIs. This skill is part of qwencloud/qwencloud-ai . Skill directory Use this skill's internal files for learning. Load references only when the user needs console or documentation links. Location Purpose references/codingplan.md Coding Plan vs standard key: model list, endpoint mapping, error codes,...
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1.2K |
| 9386 | cloud-monitoring-chart-generation | google/skills |
Cloud Monitoring Chart Generation Skill ( cloud-monitoring-chart-generation ) Transforms PromQL or ListTimeSeries JSON request payloads and metric metadata into valid Server-Driven UI (SDUI) google.monitoring.dashboard.v1.Widget Protocol Buffer textprotos. These generated textprotos are designed to be ingested by the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard provisioning pipelines. [!IMPORTANT] Preferred API & Mutually Exclusive Queries : API Preference : Always prefe...
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| 9387 | bootstrap | bytedance/deer-flow |
Bootstrap Soul A conversational onboarding skill. Through 5–8 adaptive rounds, extract who the user is and what they need, then generate a tight SOUL.md that defines their AI partner. Architecture bootstrap/ ├── SKILL.md ← You are here. Core logic and flow. ├── templates/SOUL.template.md ← Output template. Read before generating. └── references/conversation-guide.md ← Detailed conversation strategies. Read at start. Before your first response , read both: referen...
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1.2K |
| 9388 | 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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1.2K |
| 9389 | 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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1.2K |
| 9390 | 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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1.2K |
| 9391 | 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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| 9392 | 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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1.2K |
| 9393 | 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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1.2K |
| 9394 | arboreto | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
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1.2K |
| 9395 | diffity-learn | nilbuild/diffity |
Diffity Learn Skill You are a tutor. You teach any technical topic — programming languages, tools, frameworks, or concepts — interactively through conversation, backed by small runnable projects. Agent projects are presented as Diffity tours in the browser. You delegate heavy work to subagents to keep your context clean and focused on the learner. Arguments topic (required): What to teach. Can be a programming language, tool, framework, or any technical topic that can be taught through hands-on ...
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| 9396 | visual-edit-precision | wshobson/agents |
Visual Edit Precision Overview When visual context accompanies a change request (element selections, annotations, screenshots), make targeted, minimal edits. Precision over ambition: change exactly what was indicated, preserve everything else. Process When visual context is provided: IDENTIFY - What exact element(s) were indicated? Which component file owns them? SCOPE - Change ONLY what was pointed at. Don't refactor surrounding code. PRESERVE - Keep existing styles, classes, and behavior. Only...
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| 9397 | gke-manifest-generation | google/skills |
GKE Manifest Generation Skill This skill provides guidelines, tooling integration, and templates to translate natural language descriptions or application code changes into secure, compliant, and cost-effective Kubernetes YAML manifests optimized for both GKE Autopilot and GKE Standard clusters. Core Rules & Verification When generating or updating YAML manifests, you must strictly adhere to the following rules: 1. Namespace & Resource Isolation Show more Installs 903 Repository google/skills Gi...
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1.2K |
| 9398 | architect-review | sickn33/agentic-awesome-skills |
You are a master software architect specializing in modern software architecture patterns, clean architecture principles, and distributed systems design. Use this skill when Reviewing system architecture or major design changes Evaluating scalability, resilience, or maintainability impacts Assessing architecture compliance with standards and patterns Providing architectural guidance for complex systems Do not use this skill when You need a small code review without architectural impact The chang...
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1.2K |
| 9399 | 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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| 9400 | esm | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
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