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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9051 | recon-and-methodology | yaklang/hack-skills |
SKILL: Recon and Methodology — Expert Bug Bounty Playbook AI LOAD INSTRUCTION : Systematic recon and bug-finding methodology from top bug hunters. Covers subdomain enumeration, endpoint discovery, tech fingerprinting, and the hunter's mental model for finding bugs that others miss. Key insight: most high-severity bugs are found through systematic coverage, not just clever payloads. 1. RECON HIERARCHY Target Selection └── Scope Definition (in-scope assets) └── Asset Discovery (subdomains, IPs, do...
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| 9052 | dotnet-backend | sickn33/antigravity-awesome-skills |
.NET Backend Agent - ASP.NET Core & Enterprise API Expert You are an expert .NET/C backend developer with 8+ years of experience building enterprise-grade APIs and services. When to Use Use this skill when the user asks to: Build or refactor ASP.NET Core APIs (controller-based or Minimal APIs) Implement authentication/authorization in a .NET backend Design or optimize EF Core data access patterns Add background workers, scheduled jobs, or integration services in C Improve reliability/performance...
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| 9053 | git-workflow | mindrally/skills |
Git Workflow When to use this skill Creating meaningful commit messages Managing branches Merging code Resolving conflicts Collaborating with team Git best practices Instructions Step 1: Branch management Create feature branch : Create and switch to new branch git checkout -b feature/feature-name Or create from specific commit git checkout -b feature/feature-name < commit-hash > Naming conventions : feature/description : New features bugfix/description : Bug fixes hotfix/description : Urgent f...
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| 9054 | hugging-face-jobs | huggingface/skills |
Running Workloads on Hugging Face Jobs Overview Run any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub. Common use cases: Data Processing - Transform, filter, or analyze large datasets Batch Inference - Run inference on thousands of samples Experiments & Benchmarks - Reproducible ML experiments Model Training - Fine-tune models (see model-trainer skill for TRL-specific trainin...
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| 9055 | axiom-liquid-glass | charleswiltgen/axiom |
Liquid Glass — Apple's New Material Design System When to Use This Skill Use when: Implementing Liquid Glass effects in your app Reviewing existing UI for Liquid Glass adoption opportunities Debugging visual artifacts with Liquid Glass materials Optimizing Liquid Glass performance Requesting expert review of Liquid Glass implementation Understanding when to use Regular vs Clear variants Troubleshooting tinting, legibility, or adaptive behavior issues Related Skills Use axiom-liquid-glass-ref f...
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| 9056 | git-commit | everyinc/compound-engineering-plugin |
Git Commit with Conventional Commits Overview Create standardized, semantic git commits using the Conventional Commits specification. Analyze the actual diff to determine appropriate type, scope, and message. Conventional Commit Format <type>[optional scope]: <description> [optional body] [optional footer(s)] Commit Types Type Purpose feat New feature fix Bug fix docs Documentation only style Formatting/style (no logic) refactor Code refactor (no feature/fix) perf Performance improvement test Ad...
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| 9057 | product-manager-toolkit | alirezarezvani/claude-skills |
Product Manager Toolkit Essential tools and frameworks for modern product management, from discovery to delivery. Quick Start For Feature Prioritization python scripts/rice_prioritizer.py sample Create sample CSV python scripts/rice_prioritizer.py sample_features.csv --capacity 15 For Interview Analysis python scripts/customer_interview_analyzer.py interview_transcript.txt For PRD Creation Choose template from references/prd_templates.md Fill in sections based on discovery work Review with stak...
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| 9058 | web-scraper | zephyrwang6/myskill |
Web Scraper Extract structured data from websites using BeautifulSoup and requests - turn any webpage into usable data. When to Use This Skill Competitor research - Scrape pricing, features, positioning Lead generation - Extract contact info from directories Content audit - Pull headings, links, meta data Price monitoring - Track competitor pricing changes Data collection - Gather research data from multiple sources What Claude Does vs What You Decide Claude Does You Decide Structures analysis f...
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| 9059 | reelclaw | dansugc/reelclaw |
ReelClaw — UGC Reel Production Engine You are ReelClaw, an autonomous short-form video production engine that creates scroll-stopping UGC-style reels at scale. You combine AI-sourced reaction hooks, intelligent demo analysis, professional video editing, and automated publishing into a single pipeline. The Pipeline: DanSUGC (hooks + analytics) + Demos (analyzed by Gemini) + Text + Music | FFmpeg Assembly | Post-Bridge Scheduling | DanSUGC Analytics Proxy (tracking) | Replicate Winners References ...
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| 9060 | system-admin | chaterm/terminal-skills |
Core commands and best practices for Linux system administration, including system information viewing, resource monitoring, service management, etc. System Information Basic Information ``` System version cat /etc/os-release uname -a Hostname hostnamectl Uptime and load uptime ``` Hardware Information ``` CPU information lscpu cat /proc/cpuinfo Memory information free -h cat /proc/meminfo Disk information lsblk df -h ``` Resource Monitoring Real-time Monitoring ``` Com...
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| 9061 | n8n-workflow-generator | jeremylongshore/claude-code-plugins-plus-skills |
N8N Workflow Generator Purpose This skill provides automated assistance for n8n workflow generator tasks within the Business Automation domain. When to Use This skill activates automatically when you: Mention "n8n workflow generator" in your request Ask about n8n workflow generator patterns or best practices Need help with business automation skills covering workflow automation, email processing, spreadsheet operations, and business process optimization. Capabilities Provides step-by-step gu...
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| 9062 | inkos | narcooo/inkos |
InkOS - Autonomous Novel Writing Agent InkOS is a CLI tool for autonomous fiction writing powered by LLM agents. It orchestrates a multi-agent pipeline (Radar → Planner → Composer → Architect → Writer → Observer → Reflector → Normalizer → Auditor → Reviser) to generate, audit, and revise novel content with zero human intervention per chapter. The pipeline operates in three phases: Phase 1 (Creative Writing, temp 0.7) : Planner generates chapter intent with hook agenda, Composer selects relevant ...
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| 9063 | honcho-integration | plastic-labs/honcho |
This skill helps you integrate Honcho into existing Python or TypeScript applications. Honcho provides AI-native memory for stateful agents—it uses custom reasoning models to learn continually. Integration Workflow Follow these phases in order: Phase 1: Codebase Exploration Before asking the user anything, explore the codebase to understand: - Language & Framework: Is this Python or TypeScript? What frameworks are used (FastAPI, Express, Next.js, etc.)? - Existing AI/LLM code: Search for...
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| 9064 | pixverse-ai-image-and-video-generator | pixverseai/skills |
PixVerse CLI — Master Skill What is PixVerse CLI PixVerse CLI is the official command-line interface for PixVerse — an AI-powered creative platform for generating videos and images. It is essentially a UI-free version of the PixVerse website : all features, models, and parameters are aligned with the web experience at app.pixverse.ai . It is designed for: AI agents (primary) — structured JSON output, deterministic exit codes, and pipeable commands for autonomous workflows (Claude Code, Cursor, C...
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| 9065 | simpo-training | davila7/claude-code-templates |
SimPO - Simple Preference Optimization Quick start SimPO is a reference-free preference optimization method that outperforms DPO without needing a reference model. Installation: Create environment conda create -n simpo python=3.10 && conda activate simpo Install PyTorch 2.2.2 Visit: https://pytorch.org/get-started/locally/ Install alignment-handbook git clone https://github.com/huggingface/alignment-handbook.git cd alignment-handbook python -m pip install . Install Flash Attention 2 p...
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| 9066 | remotion-best-practices | davila7/claude-code-templates |
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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| 9067 | quality-manager-qms-iso13485 | davila7/claude-code-templates |
Senior Quality Manager - QMS ISO 13485 Specialist Expert-level ISO 13485 Quality Management System implementation and maintenance for medical device organizations with deep knowledge of quality processes, documentation control, and continuous improvement. Core QMS Competencies 1. ISO 13485 QMS Implementation Design and implement comprehensive quality management systems aligned with ISO 13485:2016 and regulatory requirements. Implementation Workflow: Gap Analysis and Planning Current state assess...
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| 9068 | claude-code-guide | sickn33/antigravity-awesome-skills |
Claude Code Guide Purpose To provide a comprehensive reference for configuring and using Claude Code (the agentic coding tool) to its full potential. This skill synthesizes best practices, configuration templates, and advanced usage patterns. Configuration ( CLAUDE.md ) When starting a new project, create a CLAUDE.md file in the root directory to guide the agent. Template (General) Project Guidelines Commands - Run app: `npm run dev` - Test: `npm test` - Build: `npm run build` Code Style - Us...
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| 9069 | firmware-analyst | sickn33/antigravity-awesome-skills |
Download from vendor wget http://vendor.com/firmware/update.bin Extract from device via debug interface UART console access screen /dev/ttyUSB0 115200 Copy firmware partition dd if=/dev/mtd0 of=/tmp/firmware.bin Extract via network protocols TFTP during boot HTTP/FTP from device web interface Hardware Methods UART access - Serial console connection JTAG/SWD - Debug interface for memory access SPI flash dump - Direct chip reading NAND/NOR dump - Flash memory extraction...
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| 9070 | skill-creator | freshtechbro/claudedesignskills |
Skill Creator A skill for creating new skills and iteratively improving them. At a high level, the process of creating a skill goes like this: Decide what you want the skill to do and roughly how it should do it Write a draft of the skill Create a few test prompts and run claude-with-access-to-the-skill on them Help the user evaluate the results both qualitatively and quantitatively While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you...
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| 9071 | whisper-transcription | guia-matthieu/clawfu-skills |
Whisper Transcription Transcribe any audio or video to text using OpenAI's Whisper model - the same technology powering ChatGPT voice features. When to Use This Skill Podcast repurposing - Convert episodes to blog posts, show notes, social snippets Video subtitles - Generate SRT/VTT files for YouTube, social media Interview extraction - Pull quotes and insights from recorded calls Content audit - Make audio/video libraries searchable Translation - Transcribe and translate foreign language conten...
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| 9072 | distill | juxt/allium |
Remove unnecessary complexity from designs, revealing the essential elements and creating clarity through ruthless simplification. MANDATORY PREPARATION Context Gathering (Do This First) You cannot do a great job without having necessary context, such as target audience (critical), desired use-cases (critical), and understanding what's truly essential vs nice-to-have for this product. Attempt to gather these from the current thread or codebase. If you don't find exact information and have to inf...
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| 9073 | nansen-token-transfer-analysis | nansen-ai/nansen-cli |
Token Forensics Answers: "Where is this token moving? Who is sending it and where?" TOKEN = < address > CHAIN = ethereum Examples: UNI on ethereum (0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984) BONK on solana (DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263) Note: token flows does NOT support stablecoins (USDC, USDT, etc.) — use non-stablecoin tokens nansen research token transfers --token $TOKEN --chain $CHAIN --days 7 --limit 20 → from_address_label, to_address_label, transfer_amount,...
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| 9074 | nansen-holder-analysis | nansen-ai/nansen-cli |
Holder Quality Answers: "Is this token held by quality wallets or retail noise?" TOKEN = < address > CHAIN = ethereum nansen research token holders --token $TOKEN --chain $CHAIN --smart-money --limit 20 → address, address_label, value_usd, ownership_percentage, balance_change_24h/7d/30d nansen research token flow-intelligence --token $TOKEN --chain $CHAIN → net_flow_usd and wallet_count per label: smart_trader, whale, exchange, fresh_wallets nansen research token who-bought-sold --token $TOKEN...
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| 9075 | nansen-trading | nansen-ai/nansen-cli |
Trade Two-step flow: quote then execute. Trades are irreversible once on-chain. Prerequisite: You need a wallet first. Run nansen wallet create before trading. Quote nansen trade quote \ --chain solana \ --from SOL \ --to USDC \ --amount 1000000000 Symbols resolve automatically: SOL , ETH , USDC , USDT , WETH . Raw addresses also work. Note: at least one side must be USDC or the native token — see Constraints below. Constraints Swap constraint: At least one side of every swap must be USDC or the...
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| 9076 | nansen-polymarket-insider-scan | nansen-ai/nansen-cli |
PM Suspicious Wallet Scanner Answers: "Are there wallets with suspicious trading patterns in this Polymarket market?" 1. Find the resolved market nansen research prediction-market market-screener --query "<market name>" --status closed --limit 5 → market_id, question, volume, last_trade_price 2. Get top winners (positive PnL) — paginate if needed, keep per_page <= 10 MID = < market_id > nansen research prediction-market pnl-by-market --market-id $MID --limit 10 → address (proxy), owner_addre...
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| 9077 | crawl4ai-skill | lancelin111/crawl4ai-skill |
Crawl4AI Skill - Web Crawler & Scraper Web Crawling 网页爬虫 | Web Scraping 网页爬取 | LLM 优化输出 智能网页爬虫和爬取工具,支持搜索、全站爬取、动态页面抓取。Free web crawler and scraper with LLM-optimized Markdown output. 核心功能 | Core Features 🔍 Web Search 网页搜索 - DuckDuckGo search, 免 API key 🕷️ Web Crawling 网页爬虫 - Site crawler, spider, sitemap 识别 📝 Web Scraping 网页抓取 - Smart scraper, data extraction 📄 LLM-Optimized Output - Fit Markdown, 省 Token 80% ⚡ Dynamic Page Scraping - JavaScript 渲染页面爬取 快速开始 | Quick Start 安装 | Installation pip ins...
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| 9078 | performance-optimization | mindrally/skills |
Performance Optimization When to use this skill Slow page loads : low Lighthouse score Slow rendering : delayed user interactions Large bundle size : increased download time Slow queries : database bottlenecks Instructions Step 1: Measure performance Lighthouse (Chrome DevTools) : CLI npm install -g lighthouse lighthouse https://example.com --view Automate in CI lighthouse https://example.com --output = json --output-path = ./report.json Measure Web Vitals (React): import { getCLS , getFID , g...
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| 9079 | salesforce-dx | mindrally/skills |
Salesforce DX Development You are an expert in Salesforce DX (SFDX) development, including modern Salesforce development workflows, scratch orgs, and source-driven development. Apex Code Standards Implement proper separation of concerns, suggesting to move reusable functions into a Utility class Leverage efficient SOQL queries and prevent queries within loops Implement error handling and create custom exception classes if necessary Apply Salesforce security best practices with CRUD and FLS val...
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| 9080 | idor-broken-object-authorization | yaklang/hack-skills |
SKILL: IDOR / Broken Object Level Authorization — Expert Attack Playbook AI LOAD INSTRUCTION : IDOR is the 1 bug bounty finding. This skill covers non-obvious IDOR surfaces, all attack vectors (not just URL params), A-B testing methodology, BOLA vs BFLA distinction, chaining IDOR to higher impact, and what testers repeatedly miss. 1. IDOR vs BOLA vs BFLA Term Meaning Impact IDOR Insecure Direct Object Reference Read/modify other users' data BOLA Broken Object Level Authorization (OWASP API Top 1...
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| 9081 | business-logic-vulnerabilities | yaklang/hack-skills |
SKILL: Business Logic Vulnerabilities — Expert Attack Playbook AI LOAD INSTRUCTION : Business logic flaws are scanner-invisible and high-reward on bug bounty. This skill covers race conditions, price manipulation, workflow bypass, coupon/referral abuse, negative values, and state machine attacks. These require human reasoning, not automation. For specific exploitation techniques (payment precision/overflow, captcha bypass, password reset flaws, user enumeration), load the companion SCENARIOS.md ...
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| 9082 | buddy-sings | minimax-ai/skills |
Buddy Sings — Let Your Claude Code Pet Sing Turn your Claude Code pet into a singer. Each pet gets a unique vocal identity based on its name and personality — the same pet always sounds the same. Prerequisites mmx CLI (required for music generation): Install: npm install -g mmx-cli Authenticate (first time only): mmx auth login --api-key < your-minimax-api-key > Get your API key from MiniMax Platform . Audio player (for playback — at least one of): mpv (recommended — interactive controls: space ...
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| 9083 | playwright-cursor-rules | mindrally/skills |
Playwright Cursor Rules You are a Senior QA Automation Engineer expert in TypeScript, JavaScript, Frontend development, Backend development, and Playwright end-to-end testing. Code Quality Standards Write concise, technical TypeScript and JavaScript with accurate type definitions. Key Practices Test Naming Employ descriptive names that clearly articulate expected behavior. Fixtures & Isolation Utilize Playwright fixtures (test, page, expect) for test isolation and consistency. Setup/Tear...
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| 9084 | deploy-docs | everyinc/compound-engineering-plugin |
Deploy Documentation Command Validate the documentation site and prepare it for GitHub Pages deployment. Step 1: Validate Documentation Run these checks: Count components echo "Agents: $( ls plugins/compound-engineering/agents/*.md | wc -l ) " echo "Skills: $( ls -d plugins/compound-engineering/skills/*/ 2 > /dev/null | wc -l ) " Validate JSON cat .claude-plugin/marketplace.json | jq . > /dev/null && echo "✓ marketplace.json valid" cat plugins/compound-engineering/.claude-plugin/plugin.json | ...
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| 9085 | architecture-diagram-creator | mhattingpete/claude-skills-marketplace |
Architecture Diagram Creator Create comprehensive HTML architecture diagrams with data flows, business context, and system architecture. When to Use "Create architecture diagram for [project]" "Generate high-level overview" "Document system architecture" "Show data flow and processing pipeline" Components to Include Business Context: objectives, users, value, metrics Data Flow: sources → processing → outputs with SVG diagram Processing Pipeline: multi-stage visualization System Architecture: l...
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| 9086 | skill-publisher | joeseesun/skill-publisher |
Skill Publisher 一键将 Claude Code Skill 发布到 GitHub,自动完成验证、补全、推送全流程。 前置条件 gh CLI 已安装且已登录( gh auth status ) Skill 目录包含有效的 SKILL.md (含 YAML frontmatter name + description ) 发布流程 当用户要求发布 skill 时,运行发布脚本: python3 ~/.claude/skills/skill-publisher/scripts/publish_skill.py < skill_dir > 确定 skill 目录 如果用户说"发布这个 skill"且当前在某个 skill 目录 → 用当前目录 如果用户指定了 skill 名称 → 在 ~/.claude/skills/ 下查找 如果不确定 → 问用户要发布哪个 skill 脚本自动完成的步骤 验证 SKILL.md 的 YAML frontmatter(name + description) 检查 gh CLI 就绪状态 创建 LICENSE(MIT,如果缺少) 生成 READ...
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| 9087 | gsap-fundamentals | bbeierle12/skill-mcp-claude |
GSAP Fundamentals Core animation concepts with GreenSock Animation Platform. Quick Start npm install gsap import gsap from 'gsap'; // Basic tween gsap.to('.box', { x: 200, duration: 1, ease: 'power2.out' }); Core Concepts Tween Types Method Description Use Case gsap.to() Animate from current → target Most common gsap.from() Animate from target → current Entrance animations gsap.fromTo() Animate from defined start → end Full control gsap.set() Instantly set properties Initial state Bas...
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| 9088 | android-accessibility | new-silvermoon/awesome-android-agent-skills |
No SKILL.md available for this skill. View on GitHub
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| 9089 | creating-dashboards | ancoleman/ai-design-components |
This skill enables the creation of sophisticated dashboard interfaces that aggregate and present data through coordinated widgets including KPI cards, charts, tables, and filters. Dashboards serve as centralized command centers for data-driven decision making, combining multiple component types from other skills (data-viz, tables, design-tokens) into unified analytics experiences with real-time updates, responsive layouts, and interactive filtering. When to Use Activate this skill when: - Bu...
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| 9090 | code-deduplication | alinaqi/claude-bootstrap |
Code Deduplication Skill Load with: base.md Purpose: Prevent semantic duplication and code bloat. Maintain a capability index so Claude always knows what exists before writing something new. Core Philosophy ┌─────────────────────────────────────────────────────────────────┐ │ CHECK BEFORE YOU WRITE │ │ ───────────────────────────────────────────────────────────── │ │ AI doesn't copy/paste - it reimplements. │ │ The problem isn...
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| 9091 | mypy | bobmatnyc/claude-mpm-skills |
mypy - Static Type Checking for Python Overview mypy is the standard static type checker for Python, enabling gradual typing with type hints (PEP 484) and comprehensive type safety. It catches type errors before runtime, improves code documentation, and enhances IDE support while maintaining Python's dynamic nature through incremental adoption. Key Features: Gradual typing: Add types incrementally to existing code Strict mode: Maximum type safety with --strict flag Type inference: Automatical...
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| 9092 | dimensionality reduction | aj-geddes/useful-ai-prompts |
Dimensionality Reduction Overview Dimensionality reduction techniques reduce the number of features while preserving important information, improving model efficiency and enabling visualization of high-dimensional data. When to Use High-dimensional datasets with many features Visualizing complex datasets in 2D or 3D Reducing computational complexity and training time Removing redundant or highly correlated features Preventing overfitting in machine learning models Preprocessing data before clust...
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| 9093 | ml model explanation | aj-geddes/useful-ai-prompts |
ML Model Explanation Model explainability makes machine learning decisions transparent and interpretable, enabling trust, compliance, debugging, and actionable insights from predictions. Explanation Techniques Feature Importance : Global feature contribution to predictions SHAP Values : Game theory-based feature attribution LIME : Local linear approximations for individual predictions Partial Dependence Plots : Feature relationship with predictions Attention Maps : Visualization of model focus a...
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| 9094 | testing | dalestudy/skills |
LobeHub Testing Guide Quick Reference Commands: Run specific test file bunx vitest run --silent = 'passed-only' '[file-path]' Database package (client) cd packages/database && bunx vitest run --silent = 'passed-only' '[file]' Database package (server) cd packages/database && TEST_SERVER_DB = 1 bunx vitest run --silent = 'passed-only' '[file]' Never run bun run test - it runs all 3000+ tests (~10 minutes). Test Categories Category Location Config Webapp src//*.test.ts(x) vitest.config.ts Packa...
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| 9095 | position-sizer | tradermonty/claude-trading-skills |
Position Sizer Overview Calculate the optimal number of shares to buy for a long stock trade based on risk management principles. Supports three sizing methods: Fixed Fractional : Risk a fixed percentage of account equity per trade (default: 1%) ATR-Based : Use Average True Range to set volatility-adjusted stop distances Kelly Criterion : Calculate mathematically optimal risk allocation from historical win/loss statistics All methods apply portfolio constraints (max position %, max sector %) and...
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| 9096 | railway-domain | davila7/claude-code-templates |
Railway Domain Management Add, view, or remove domains for Railway services. When to Use User asks to "add a domain", "generate a domain", "get a URL" User wants to add a custom domain User asks "what's the URL for my service" User wants to remove a domain Add Railway Domain Generate a railway-provided domain (max 1 per service): railway domain --json For a specific service: railway domain --json --service backend Response Returns the generated domain URL. Service must have a deployment...
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| 9097 | free-tool-strategy | davila7/claude-code-templates |
Free Tool Strategy (Engineering as Marketing) You are an expert in engineering-as-marketing strategy. Your goal is to help plan and evaluate free tools that generate leads, attract organic traffic, and build brand awareness. Initial Assessment Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or speci...
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| 9098 | anndata | davila7/claude-code-templates |
AnnData Overview AnnData is a Python package for handling annotated data matrices, storing experimental measurements (X) alongside observation metadata (obs), variable metadata (var), and multi-dimensional annotations (obsm, varm, obsp, varp, uns). Originally designed for single-cell genomics through Scanpy, it now serves as a general-purpose framework for any annotated data requiring efficient storage, manipulation, and analysis. When to Use This Skill Use this skill when: Creating, reading...
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| 9099 | regulatory-affairs-head | davila7/claude-code-templates |
Senior Regulatory Affairs Manager (Head of Regulatory Affairs) Expert-level regulatory affairs leadership for HealthTech and MedTech companies with deep knowledge of global regulatory frameworks, submission strategies, and cross-functional team coordination. Core Competencies 1. Strategic Regulatory Planning Develop comprehensive regulatory strategies that align with business objectives and ensure successful market access. Key Activities: Regulatory pathway analysis and optimization Market acces...
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| 9100 | csv-processor | curiouslearner/devkit |
CSV Processor Skill Parse, transform, and analyze CSV files with advanced data manipulation capabilities. Instructions You are a CSV processing expert. When invoked: Parse CSV Files : Auto-detect delimiters (comma, tab, semicolon, pipe) Handle different encodings (UTF-8, Latin-1, Windows-1252) Process quoted fields and escaped characters Handle multi-line fields correctly Detect and use header rows Transform Data : Filter rows based on conditions Select specific columns Sort and group data Merge...
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