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29,278
总 Skills
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# Skill 仓库 描述 安装量
9151 xlsx k-dense-ai/scientific-agent-skills
Requirements for Outputs All Excel files Professional Font Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user Zero Formula Errors Every Excel model MUST be delivered with ZERO formula errors (REF!, DIV/0!, VALUE!, N/A, NAME?) Preserve Existing Templates (when updating templates) Study and EXACTLY match existing format, style, and conventions when modifying files Never impose standardized formatting on files with establi...
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9152 custom-metrics launchdarkly/ai-tooling
Custom Metrics for Configs Full lifecycle management of custom business metrics: create metric definitions via API, track events via SDK, retrieve metric data, and manage metrics programmatically. Prerequisites LaunchDarkly SDK initialized (see sdk ) LaunchDarkly API token with writer role for metric management Understanding of built-in agent metrics (see built-in-metrics ) API Key Detection Before prompting the user for an API key, try to detect it automatically: Check Claude MCP config - Read ...
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9153 deep-learning-pytorch mindrally/skills
Deep Learning and PyTorch Development You are an expert in deep learning, transformers, diffusion models, and LLM development, with a focus on Python libraries such as PyTorch, Diffusers, Transformers, and Gradio. Key Principles Write concise, technical responses with accurate Python examples Prioritize clarity, efficiency, and best practices in deep learning workflows Use object-oriented programming for model architectures and functional programming for data processing pipelines Implement pro...
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9154 dd-monitors datadog-labs/agent-skills
Datadog Monitors Create, manage, and maintain monitors for alerting. Prerequisites This requires Go or the pup binary in your path. pup - go install github.com/datadog-labs/pup@latest Ensure ~/go/bin is in $PATH . Quick Start pup auth login Common Operations List Monitors pup monitors list pup monitors list --tags "team:platform" pup monitors list --status "Alert" Get Monitor pup monitors get < id > --json Create Monitor pup monitors create \ --name "High CPU on web servers" \ --type "metric ale...
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9155 apollo-federation apollographql/skills
Apollo Federation Schema Authoring Apollo Federation enables composing multiple GraphQL APIs (subgraphs) into a unified supergraph. Federation 2 Schema Setup Every Federation 2 subgraph must opt-in via @link : extend schema @link ( url : "https://specs.apollo.dev/federation/v2.12" , import : [ "@key" , "@shareable" , "@external" , "@requires" , "@provides" ] ) Import only the directives your subgraph uses. Core Directives Quick Reference Directive Purpose Example @key Define entity with unique k...
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9156 high-end-visual-design nexu-io/open-design
Agent Skill: Principal UI/UX Architect & Motion Choreographer (Awwwards-Tier) 1. Meta Information & Core Directive Persona: Vanguard_UI_Architect Objective: You engineer $150k+ agency-level digital experiences, not just websites. Your output must exude haptic depth, cinematic spatial rhythm, obsessive micro-interactions, and flawless fluid motion. The Variance Mandate: NEVER generate the exact same layout or aesthetic twice in a row. You must dynamically combine different premium layout archetyp...
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9157 deep-research lingzhi227/agent-research-skills
Deep Research Drift-prone skill. Firecrawl/Exa MCP tool names, quotas, and result shapes change. Verify the configured MCP tools and current API docs before promising coverage or quoting live source counts. Produce thorough, cited research reports from multiple web sources using firecrawl and exa MCP tools. When to Activate User asks to research any topic in depth Competitive analysis, technology evaluation, or market sizing Due diligence on companies, investors, or technologies Any question req...
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9158 ios-design-guidelines ehmo/platform-design-skills
iOS Design Guidelines for iPhone Comprehensive rules derived from Apple's Human Interface Guidelines. Apply these when building, reviewing, or refactoring any iPhone app interface. 1. Layout & Safe Areas Impact: CRITICAL Rule 1.1: Minimum 44pt Touch Targets All interactive elements must have a minimum tap target of 44x44 points. This includes buttons, links, toggles, and custom controls. Correct: Button ( "Save" ) { save ( ) } . frame ( minWidth : 44 , minHeight : 44 ) Incorrect: // 20pt icon wi...
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9159 figma-generate-diagram figma/mcp-server-guide
generate-diagram You MUST load this skill before every generate_diagram tool call. Skipping it causes preventable rendering failures and low-quality output. generate_diagram takes Mermaid.js syntax and produces an editable FigJam diagram. This skill routes you to the right per-type guidance and sets universal constraints. Step 1: Is generate_diagram the right tool? Supported diagram types flowchart , sequenceDiagram , stateDiagram / stateDiagram-v2 , gantt , erDiagram . Unsupported — don't call ...
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9160 pyzotero k-dense-ai/scientific-agent-skills
Pyzotero Pyzotero is a Python wrapper for the Zotero API v3 . Use it to programmatically manage Zotero libraries: read items and collections, create and update references, upload attachments, manage tags, and export citations. Authentication Setup Required credentials — get from https://www.zotero.org/settings/keys : User ID : shown as "Your userID for use in API calls" API Key : create at https://www.zotero.org/settings/keys/new Library ID : for group libraries, the integer after /groups/ in th...
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9161 aeon k-dense-ai/scientific-agent-skills
Aeon Time Series Machine Learning Overview Aeon is a scikit-learn compatible Python toolkit for time series machine learning. It provides state-of-the-art algorithms for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. When to Use This Skill Apply this skill when: Classifying or predicting from time series data Detecting anomalies or change points in temporal sequences Clustering similar time series patterns Forecasting future values Fi...
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9162 networkx k-dense-ai/scientific-agent-skills
NetworkX Overview NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs. Use this skill when working with network or graph data structures, including social networks, biological networks, transportation systems, citation networks, knowledge graphs, or any system involving relationships between entities. When to Use This Skill Invoke this skill when tasks involve: Creating graphs : Building network structures from data, adding nodes and edges with attr...
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9163 sympy k-dense-ai/scientific-agent-skills
SymPy - Symbolic Mathematics in Python Overview SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations. This skill provides comprehensive guidance for performing symbolic algebra, calculus, linear algebra, equation solving, physics calculations, and code generation using SymPy. When to Use This Skill Use this skill when: Solving equations symbolically (algebraic, differential, systems of equations) Perform...
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9164 podcast-marketing kostja94/marketing-skills
Content: Podcast Guides podcast strategy, content creation, distribution, marketing, and SEO. Podcasts compete in a crowded space (3M+ active shows, 500M+ listeners globally); discoverability is the primary challenge. Discovery channels: ~32% search engines, ~28% podcast apps, ~24% social media, ~16% word-of-mouth. 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 ...
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9165 generate-image k-dense-ai/scientific-agent-skills
Generate Image Generate and edit images through OpenRouter's Image API, which reaches Gemini, Seedream, Recraft, GPT-Image, Riverflow, and roughly thirty other models behind one request shape. When to use Use this skill for: photos and photorealistic images, illustrations and artwork, concept art, presentation and poster visuals, logos and vector marks, image editing, and compositing from reference images. Use scientific-schematics instead for: flowcharts, circuit diagrams, biological pathways, ...
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9166 rev-struct p4nda0s/reverse-skills
rev-struct - Structure Recovery Recover data structure definitions by analyzing memory access patterns in functions and their call chains. Pre-check Determine which IDA access method is available: Option A — IDA Pro MCP (preferred if connected): Check if the IDA Pro MCP server is connected (look for an active ida-pro or equivalent MCP connection). If connected, you can query IDA directly via MCP tools — no exported files needed. Proceed with the analysis using MCP. Option B — IDA-NO-MCP exported...
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9167 click-test-plan owl-listener/designer-skills
Click Test Plan You are an expert in designing click tests that evaluate findability and navigation clarity. What You Do You design first-click and click tests that measure whether users can find information and features. Test Types First-click test : Where do users click first for a given task? Click-path test : Full sequence of clicks to complete a task Navigation test : Can users find items using the nav structure? Five-second test : What do users remember after 5 seconds? Test Plan Structure...
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9168 transformers k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub Installs 434 Repository k-dense-ai/scie…t-skills GitHub Stars 26.3K First Seen Apr 9, 2026
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9169 huggingface-vision-trainer huggingface/skills
Vision Model Training on Hugging Face Jobs Train object detection, image classification, and SAM/SAM2 segmentation models on managed cloud GPUs. No local GPU setup required—results are automatically saved to the Hugging Face Hub. When to Use This Skill Use this skill when users want to: Fine-tune object detection models (D-FINE, RT-DETR v2, DETR, YOLOS) on cloud GPUs or local Fine-tune image classification models (timm: MobileNetV3, MobileViT, ResNet, ViT/DINOv3, or any Transformers classifier) ...
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9170 infographics k-dense-ai/scientific-agent-skills
Infographics Overview Infographics are visual representations of information, data, or knowledge designed to present complex content quickly and clearly. This skill uses Nano Banana Pro AI for infographic generation with Gemini 3 Pro quality review and Perplexity Sonar for research. How it works: (Optional) Research phase : Gather accurate facts and statistics using Perplexity Sonar Describe your infographic in natural language Nano Banana Pro generates publication-quality infographics automatic...
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9171 market-research-reports k-dense-ai/scientific-agent-skills
Market Research Reports Overview Market research reports are comprehensive strategic documents that analyze industries, markets, and competitive landscapes to inform business decisions, investment strategies, and strategic planning. This skill generates professional-grade reports of 50+ pages with extensive visual content, modeled after deliverables from top consulting firms like McKinsey, BCG, Bain, Gartner, and Forrester. Key Features: Comprehensive length: Reports are designed to be 50+ pa...
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9172 shap k-dense-ai/scientific-agent-skills
SHAP (SHapley Additive exPlanations) Overview SHAP is a unified approach to explain machine learning model outputs using Shapley values from cooperative game theory. This skill provides comprehensive guidance for: Computing SHAP values for any model type Creating visualizations to understand feature importance Debugging and validating model behavior Analyzing fairness and bias Implementing explainable AI in production SHAP works with all model types: tree-based models (XGBoost, LightGBM, CatBoos...
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9173 get-available-resources k-dense-ai/scientific-agent-skills
Get Available Resources Overview Detect available computational resources and generate strategic recommendations for scientific computing tasks. This skill automatically identifies CPU capabilities, GPU availability (NVIDIA CUDA, AMD ROCm, Apple Silicon Metal), memory constraints, and disk space to help make informed decisions about computational approaches. When to Use This Skill Use this skill proactively before any computationally intensive task: Before data analysis : Determine if datasets c...
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9174 terraform-data-engineering-infrastructure reason-machines/data-skills
Terraform Data Engineering Infrastructure Skill by ara.so — Data Skills collection. This project provides Infrastructure-as-Code (IaC) patterns for data engineering teams using Terraform to provision and manage AWS resources. It demonstrates how to automate the creation of data infrastructure including S3 buckets for data lakes, EC2 instances for processing, and IAM policies for secure access. What This Project Does Provisions AWS infrastructure specifically designed for data engineering workloa...
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9175 iac-data-engineering-terraform reason-machines/data-skills
IaC for Data Engineering with Terraform Skill by ara.so — Data Skills collection. This project demonstrates Infrastructure-as-Code (IaC) fundamentals for data engineers using Terraform to provision AWS resources including S3 buckets, EC2 instances, and IAM configurations. It provides reusable patterns for managing data infrastructure declaratively. What This Project Does Provisions AWS S3 buckets for data storage Creates and configures EC2 instances for data processing Sets up IAM roles and poli...
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9176 terraform-iac-data-engineering reason-machines/data-skills
Terraform IaC for Data Engineering Skill by ara.so — Data Skills collection. This project provides Infrastructure-as-Code (IaC) patterns using Terraform specifically for data engineering workloads on AWS. It demonstrates how to provision and manage AWS resources (S3, EC2, IAM) needed for data pipelines and processing. What This Project Does Provisions AWS S3 buckets for data storage Creates EC2 instances for data processing workloads Manages IAM users, roles, and policies Demonstrates Terraform ...
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9177 harvard-artifacts-data-pipeline reason-machines/data-skills
Harvard Artifacts Data Pipeline Skill by ara.so — Data Skills collection. What This Project Does The Harvard Artifacts Collection Data Engineering & Analytics App is an end-to-end data pipeline that demonstrates professional ETL workflows. It fetches artifact data from the Harvard Art Museums API, transforms it into structured relational tables, stores it in MySQL/TiDB Cloud, and provides interactive analytics through a Streamlit dashboard with Plotly visualizations. Key capabilities: API data e...
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9178 terraform-data-engineering-iac reason-machines/data-skills
Terraform Data Engineering IaC Skill by ara.so — Data Skills collection. This project demonstrates Infrastructure-as-Code (IaC) fundamentals for data engineering using Terraform. It provisions AWS resources commonly used in data pipelines including S3 buckets for data storage and EC2 instances for data processing workloads. What It Does Provisions AWS S3 buckets for data lake storage Creates EC2 instances for data processing and pipeline execution Manages IAM policies for secure resource access ...
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9179 iac-terraform-data-engineering reason-machines/data-skills
IaC for Data Engineering with Terraform Skill by ara.so — Data Skills collection. This project provides Infrastructure-as-Code (IaC) templates and patterns for data engineers using Terraform to provision and manage AWS resources. It focuses on creating reproducible, version-controlled infrastructure for data platforms including S3 storage, EC2 compute instances, and IAM permissions. What This Project Does Provides Terraform configurations for common data engineering infrastructure on AWS Demonst...
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9180 retail-etl-medallion-pipeline reason-machines/data-skills
Retail ETL Medallion Pipeline Skill Skill by ara.so — Data Skills collection. Overview This project implements a production-grade Medallion Architecture ETL pipeline for retail/hypermarket data, handling complex business logic like inventory shrinkage, meat/poultry recipe conversions, supplier rebate tiers, and multi-branch sales consolidation. The architecture follows three data quality layers: Bronze Layer : Raw data ingestion from CSV sources (sales, stock, products) Silver Layer : Cleaned, s...
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9181 retail-etl-pipeline-medallion reason-machines/data-skills
Retail ETL Pipeline - Medallion Architecture Skill Skill by ara.so — Data Skills collection Overview The Retail ETL Pipeline project implements a complete data engineering solution for retail operations using the Medallion Architecture pattern (Bronze → Silver → Gold layers). It handles complex retail scenarios including: Inventory shrinkage resolution Recipe conversions for meat/poultry products Supplier rebate tier tracking Multi-branch sales consolidation Stock level management across locatio...
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9182 harvard-art-museums-etl-pipeline reason-machines/data-skills
Harvard Art Museums ETL Pipeline Skill by ara.so — Data Skills collection. This project provides an end-to-end data engineering solution for extracting, transforming, and analyzing artifacts from the Harvard Art Museums API. It demonstrates real-world ETL patterns, SQL analytics, and interactive visualization using Streamlit. What It Does Extracts artifact data from Harvard Art Museums API with pagination and rate limiting Transforms nested JSON into normalized relational tables (metadata, media...
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9183 harvard-art-museums-data-engineering-pipeline reason-machines/data-skills
Harvard Art Museums Data Engineering Pipeline Skill by ara.so — Data Skills collection. What This Project Does The Harvard-Artifacts-Collection-Data-Engineering-Analytics-App is a complete data engineering solution that demonstrates: API Integration : Fetching artifact data from Harvard Art Museums API with pagination and rate limiting ETL Pipeline : Extracting, transforming, and loading nested JSON into normalized SQL tables Database Design : Multi-table relational schema with proper foreign ke...
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9184 migrate launchdarkly/ai-tooling
/migrate What The single migration workflow for three change types, with EF Core schema migrations as the primary flow: EF Core schema — review pending model changes, generate a descriptively named migration, review the SQL for data loss and locking risks, apply with a documented rollback path. .NET version upgrade — phased TFM/SDK/package upgrade with verification at each phase. NuGet updates — incremental, one-package-at-a-time updates so breakage is always attributable. Shared principles: ver...
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9185 game-designer playableintelligence/game-creator
Game UI/UX Designer You are an expert game UI/UX designer specializing in browser games. You analyze games and implement visual polish, atmosphere, and player experience improvements. You think like a designer — not just about whether the game works, but whether it feels good to play. Reference Files For detailed reference, see companion files in this directory: visual-catalog.md — All visual improvement patterns: backgrounds (parallax, gradients), color palettes, juice/polish effects, particle ...
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9186 laravel-inertia-react asyrafhussin/agent-skills
Laravel + Inertia.js + React Comprehensive patterns for building modern monolithic applications with Laravel, Inertia.js, and React. Contains 30+ rules for seamless full-stack development. When to Apply Reference these guidelines when: Creating Inertia page components Handling forms with useForm hook Managing shared data and authentication Implementing persistent layouts Navigating between pages Rule Categories by Priority Priority Category Impact Prefix 1 Page Components CRITICAL page- 2 Fo...
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9187 dask k-dense-ai/scientific-agent-skills
Dask Overview Dask is a Python library for parallel and distributed computing that enables three critical capabilities: Larger-than-memory execution on single machines for data exceeding available RAM Parallel processing for improved computational speed across multiple cores Distributed computation supporting terabyte-scale datasets across multiple machines Dask scales from laptops (processing ~100 GiB) to clusters (processing ~100 TiB) while maintaining familiar Python APIs. When to Use This Sk...
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9188 woocommerce-code-review woocommerce/woocommerce
No SKILL.md available for this skill. View on GitHub
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9189 newsletter-generation bytedance/deer-flow
Newsletter Generation Skill Overview This skill generates professional, well-researched newsletters that combine curated content from multiple sources with original analysis and commentary. It follows modern newsletter best practices from publications like Morning Brew, The Hustle, TLDR, and Benedict Evans to produce content that is informative, engaging, and actionable. The output is a complete, ready-to-publish newsletter in Markdown format, suitable for email distribution platforms, web publi...
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9190 matlab k-dense-ai/scientific-agent-skills
MATLAB/Octave Scientific Computing MATLAB is a numerical computing environment optimized for matrix operations and scientific computing. GNU Octave is a free, open-source alternative with high MATLAB compatibility. Quick Start Running MATLAB scripts: MATLAB (commercial) matlab -nodisplay -nosplash -r "run('script.m'); exit;" GNU Octave (free, open-source) octave script.m Install GNU Octave: macOS brew install octave Show more
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9191 ui-ux-pro-max davila7/claude-code-templates
UI/UX Pro Max - Design Intelligence Comprehensive design guide for web and mobile applications. Contains 50+ styles, 161 color palettes, 57 font pairings, 161 product types with reasoning rules, 99 UX guidelines, and 25 chart types across 10 technology stacks. Searchable database with priority-based recommendations. When to Apply This Skill should be used when the task involves UI structure, visual design decisions, interaction patterns, or user experience quality control . Must Use This Skill m...
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9192 version-control-strategy owl-listener/designer-skills
Version Control Strategy You are an expert in managing design file versions, component libraries, and design assets. What You Do You define strategies for versioning design work so teams can collaborate, track changes, and maintain consistency. What to Version Design files (Figma, Sketch, etc.) Component libraries Design tokens Icon sets and assets Documentation Versioning Approaches Design Files Named versions at key milestones (v1-exploration, v2-refinement, v3-final) Branch-based: main branch...
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9193 whose-number-is-this useosint/skills
Whose number is this A phone number is a strong selector: expensive to acquire, hard to change, and used as an account-recovery anchor almost everywhere. It is also the selector investigators get most wrong, because the metadata everyone quotes — the carrier — is frequently stale, and because a large share of numbers now belong to software rather than to a SIM in someone's pocket. Do not call or text the subject; that is contact, not research. Step 1 — Authorized scope Read ../../ETHICS.md . Wri...
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9194 para-memory-files paperclipai/paperclip
PARA Memory Files Persistent, file-based memory organized by Tiago Forte's PARA method. Three layers: a knowledge graph, daily notes, and tacit knowledge. All paths are relative to $AGENT_HOME . Three Memory Layers Layer 1: Knowledge Graph ( $AGENT_HOME/life/ -- PARA) Entity-based storage. Each entity gets a folder with two tiers: summary.md -- quick context, load first. items.yaml -- atomic facts, load on demand. Show more Installs 749 Repository getpaperclipai/paperclip First Seen 2 days ago S...
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9195 rev-symbol p4nda0s/reverse-skills
rev-symbol - Symbol Recovery Analyze function code characteristics to recover/identify function symbols and names. Pre-check Determine which IDA access method is available: Option A — IDA Pro MCP (preferred if connected): Check if the IDA Pro MCP server is connected (look for an active ida-pro or equivalent MCP connection). If connected, you can query IDA directly via MCP tools — no exported files needed. Proceed with the analysis using MCP. Option B — IDA-NO-MCP exported data: If MCP is not con...
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9196 optimize-for-gpu k-dense-ai/scientific-agent-skills
GPU Optimization for Python with NVIDIA You are an expert GPU optimization engineer. Your job is to help users write new GPU-accelerated code or transform their existing CPU-bound Python code to run on NVIDIA GPUs for dramatic speedups — often 10x to 1000x for suitable workloads. When This Skill Applies Show more
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9197 sentry-debug-issue getsentry/sentry-for-ai
Sentry — Debug an Issue Take one Sentry issue from “here’s a problem” to “here’s the fix, shipped.” You’ll pull the issue’s full context, root-cause it against the actual repo locally here, apply the fix with a test, and resolve it by shipping the change. The playbook is here. It pulls in references/search-query-language.md (the search grammar) and the per-signal concept docs under references/concepts/ (stack trace, trace, logs, replay, profile, user feedback). Don’t read a reference before you ...
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9198 scikit-survival k-dense-ai/scientific-agent-skills
scikit-survival: Survival Analysis in Python Overview scikit-survival is a Python library for survival analysis built on top of scikit-learn. It provides specialized tools for time-to-event analysis, handling the unique challenge of censored data where some observations are only partially known. Survival analysis aims to establish connections between covariates and the time of an event, accounting for censored records (particularly right-censored data from studies where participants don't experi...
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9199 clickup civitai/civitai
ClickUp Interact with ClickUp tasks and documents via the API. Get task information, view comments, create tasks, manage assignments, post updates, and create/edit documents. Setup Copy .env-example to .env in this skill directory Add your ClickUp Personal API Token (starts with pk_ ) Generate token at: ClickUp Settings > Apps > API Token cp .claude/skills/clickup/.env-example .claude/skills/clickup/.env Edit .env and add your token Team ID and User ID are auto-detected and cached on first use....
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9200 parallel-web k-dense-ai/scientific-agent-skills
Parallel Web Toolkit A unified skill for all web-powered tasks: searching, extracting, enriching, and researching — with academic and scientific sources as the default priority. Routing — pick the right capability Read the user's request and match it to one of the capabilities below. For web search, extract, enrichment, and deep research, read the corresponding reference file for detailed instructions. User wants to... Capability Where Look something up, research a topic, find current info Web S...
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