Overview CLI FAQ

Agent Skills 排行榜 · 关键词 + 语义搜索

按 / 聚焦搜索框
正在使用 AI 进行语义搜索...
29,261
总 Skills
226.3M
总安装量
2,813
贡献者
# Skill 仓库 描述 安装量
9101 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...
 1.8K
9102 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 ...
 1.8K
9103 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, ...
 1.8K
9104 summarize-interview owl-listener/designer-skills
Summarize Customer Interview Transform an interview transcript into a structured summary focused on Jobs to Be Done, satisfaction, and action items. Context You are summarizing a customer interview for the product discovery of $ARGUMENTS . The user will provide an interview transcript — either as an attached file (text, PDF, audio transcription) or pasted directly. Read any attached files first. Instructions Read the full transcript carefully before summarizing. Fill in the summary template belo...
 1.8K
9105 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...
 1.8K
9106 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...
 1.8K
9107 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
 1.8K
9108 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) ...
 1.8K
9109 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...
 1.8K
9110 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...
 1.8K
9111 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...
 1.8K
9112 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...
 1.8K
9113 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...
 1.8K
9114 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...
 1.8K
9115 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 ...
 1.8K
9116 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...
 1.8K
9117 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 ...
 1.8K
9118 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...
 1.8K
9119 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...
 1.8K
9120 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...
 1.8K
9121 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...
 1.8K
9122 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...
 1.8K
9123 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...
 1.8K
9124 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 ...
 1.8K
9125 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...
 1.8K
9126 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...
 1.8K
9127 woocommerce-code-review woocommerce/woocommerce
No SKILL.md available for this skill. View on GitHub
 1.8K
9128 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...
 1.8K
9129 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
 1.8K
9130 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...
 1.8K
9131 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...
 1.8K
9132 jenkins-pipeline aj-geddes/useful-ai-prompts
Jenkins Pipeline Overview Create enterprise-grade Jenkins pipelines using declarative and scripted approaches to automate building, testing, and deploying with advanced control flow. When to Use Enterprise CI/CD infrastructure Complex multi-stage builds On-premise deployment automation Parameterized builds Implementation Examples 1. Declarative Pipeline (Jenkinsfile) pipeline { agent { label 'linux-docker' } environment { REGISTRY = 'docker.io' IMAGE_NAME = 'myapp' ...
 1.8K
9133 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...
 1.8K
9134 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...
 1.8K
9135 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...
 1.8K
9136 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
 1.8K
9137 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 ...
 1.8K
9138 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...
 1.8K
9139 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....
 1.8K
9140 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...
 1.8K
9141 umap-learn k-dense-ai/scientific-agent-skills
UMAP-Learn Overview UMAP (Uniform Manifold Approximation and Projection) is a dimensionality reduction technique for visualization and general non-linear dimensionality reduction. Apply this skill for fast, scalable embeddings that preserve local and global structure, supervised learning, and clustering preprocessing. Quick Start Installation uv pip install umap-learn Basic Usage UMAP follows scikit-learn conventions and can be used as a drop-in replacement for t-SNE or PCA. Show more
 1.8K
9142 r3f-fundamentals enzed/r3f-skills
React Three Fiber Fundamentals Quick Start import { Canvas } from '@react-three/fiber' import { useRef } from 'react' import { useFrame } from '@react-three/fiber' function RotatingBox() { const meshRef = useRef() useFrame((state, delta) => { meshRef.current.rotation.x += delta meshRef.current.rotation.y += delta * 0.5 }) return ( <mesh ref={meshRef}> <boxGeometry args={[1, 1, 1]} /> <meshStandardMaterial color="hotpink" /> </mesh> ) } export default fun...
 1.8K
9143 secrets-in-file-metadata useosint/skills
Secrets in file metadata The fastest lead in an investigation is often already inside the file: GPS to six decimal places, a camera serial that ties four "unrelated" images to one body, a document author who is a real employee, a template path containing a corporate share name. Two things beginners get wrong. Absent metadata is not suspicious — it is the normal state of anything that passed through a social platform. And present metadata is not proof: every tag is a claim written by whatever sof...
 1.8K
9144 kelos-e2e kelos-dev/e2e-skills
Kelos e2e verification skill Run exactly this command and show its output: echo "KELOS_E2E_SKILL_MARKER_x7k2p9" Installs 806 Repository kelos-dev/e2e-skills First Seen Jun 10, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
 1.8K
9145 ugc-ads pika-labs/pika-plugins
/pika:ugc-ads Parameters Param Default Notes url required product URL — drives category detection and beat substitution avatar_url built-in fallback persona portrait URL; fed as @Image1 reference. When omitted, the skill uses a pre-generated Pixar-style female creator portrait provider seedance seedance: strong at UGC selfie / talking-head POV with native lip-sync, multi-segment in single prompt, supports 3:4. kling: explicit shots[] , 9:16/16:9 only aspect_ratio 9:16 3:4 is seedance-only (kling...
 1.8K
9146 open-notebook k-dense-ai/scientific-agent-skills
Open Notebook Overview Open Notebook is an open-source, self-hosted alternative to Google's NotebookLM that enables researchers to organize materials, generate AI-powered insights, create podcasts, and have context-aware conversations with their documents — all while maintaining complete data privacy. Unlike Google's Notebook LM, which has no publicly available API outside of the Enterprise version, Open Notebook provides a comprehensive REST API, supports 16+ AI providers, and runs entirely on ...
 1.8K
9147 pymc k-dense-ai/scientific-agent-skills
PyMC Bayesian Modeling Overview PyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using PyMC's modern API (version 5.x+), including hierarchical models, MCMC sampling (NUTS), variational inference, and model comparison (LOO, WAIC). When to Use This Skill This skill should be used when: Building Bayesian models (linear/logistic regression, hierarchical models, time series, etc.) Performing MCMC sampling or variational i...
 1.8K
9148 n8n-debugging-official n8n-io/skills
n8n Debugging When something breaks, the cause is almost always: Parameter misconfiguration (wrong value, wrong type, missing field). Stale assumptions (different version, different behavior than you remember). Paths misconfigured or misconnected (wrong output index, wrong merge input, missing wire, IF/Switch wired to the wrong branch). Upstream data stripped (an intermediate node replaced $json with its own output, so downstream $json.x resolves to null even though "it should be there"). Fix: r...
 1.8K
9149 post-writer-sms blacktwist/social-media-skills
Post Writer When to Use User asks to write a post or draft social media content User mentions "write a post," "draft a post," or "LinkedIn post" User says "tweet," "Threads post," "Bluesky post," or "social media post" User says "help me write" or shares a topic and wants it turned into a post User provides a rough draft and wants it refined for a specific platform User wants a single standalone post (not a thread or carousel) Role You are an expert social media writer who crafts platform-native...
 1.8K
9150 hunt-a-handle useosint/skills
Hunt a handle Handle reuse is the cheapest strong link in OSINT: one string, checked in minutes, potentially tying a dozen platforms to one person. It is also the most over-trusted. Enumerators do not verify identity — they perform HTTP existence checks — and a hit list is a list of candidates , nothing more. The mistake that ruins these investigations is pasting the tool's output into the report. Enumeration is the cheap half; confirmation is the work. Step 1 — Authorized scope Read ../../ETHIC...
 1.8K