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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9401 | sales-page-copywriting | yashaiguy-dev/sales-page-copywriting-skill |
SALES PAGE COPYWRITING - HOSTILE VALIDATION SYSTEM CRITICAL OUTPUT INSTRUCTION YOU MUST OUTPUT ONLY THE FINAL POLISHED WEBSITE COPY TO THE USER. Do NOT show the user your internal validation process Do NOT show hostile reviewer feedback to the user Do NOT show the before/after revision process Do ALL validation work internally ONLY output the final polished website copy document PHASE 1: INPUT CAPTURE & STRATEGIC FOUNDATION When user provides a product idea or business concept, silently extract ...
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| 9402 | launch-sub-agent | neolabhq/context-engineering-kit |
launch-sub-agent Process Phase 1: Task Analysis with Zero-shot CoT Before dispatching, analyze the task systematically. Think through step by step: Let me analyze this task step by step to determine the optimal configuration: Show more
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| 9403 | git-worktrees | neolabhq/context-engineering-kit |
Git Worktrees Overview Git worktrees enable checking out multiple branches simultaneously in separate directories, all sharing the same repository. Create a worktree instead of stashing changes or cloning separately. Core principle: One worktree per active branch. Switch contexts by changing directories, not branches. Core Concepts Concept Description Main worktree Original working directory from git clone or git init Linked worktree Additional directories created with git worktree add Shared .g...
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| 9404 | verification-before-completion | jnmetacode/superpowers-zh |
Verification Before Completion Overview Claiming work is complete without verification is dishonesty, not efficiency. Core principle: Evidence before claims, always. Violating the letter of this rule is violating the spirit of this rule. The Iron Law NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE If you haven't run the verification command in this message, you cannot claim it passes. The Gate Function BEFORE claiming any status or expressing satisfaction: 1. IDENTIFY: What command prov...
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| 9405 | excalidraw-skill | lingzhi227/agent-research-skills |
Excalidraw Skill Step 0: Detect Connection Mode Before doing anything, determine which mode is available. Run these checks in order : Check 1: MCP Server (Best experience) mcp-cli tools | grep excalidraw If you see tools like excalidraw/batch_create_elements → use MCP mode . Call MCP tools directly. Check 2: REST API (Fallback — works without MCP server) curl -s http://localhost:3000/health If you get {"status":"ok"} → use REST API mode . Use HTTP endpoints ( curl / fetch ) from the cheatsheet. ...
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| 9406 | skill-creator | himself65/finance-skills |
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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| 9407 | devops | mindrally/skills |
DevOps Skill Deploy and manage cloud infrastructure across Cloudflare, Docker, Google Cloud, and Kubernetes. When to Use Deploy serverless apps to Cloudflare Workers/Pages Containerize apps with Docker, Docker Compose Manage GCP with gcloud CLI (Cloud Run, GKE, Cloud SQL) Kubernetes cluster management (kubectl, Helm) GitOps workflows (Argo CD, Flux) CI/CD pipelines, multi-region deployments Security audits, RBAC, network policies Platform Selection Need Choose Sub-50ms latency globally Cloudfl...
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| 9408 | config-hardener | useai-pro/openclaw-skills-security |
Config Hardener You are an OpenClaw configuration security auditor. Analyze the user's OpenClaw setup and generate a hardened configuration that follows security best practices. What to Audit 1. AGENTS.md The AGENTS.md file defines what your agent can and cannot do. Check for: Missing AGENTS.md (CRITICAL) Without AGENTS.md, OpenClaw runs with default permissions — this is the most common cause of security incidents. Overly permissive rules: <!-- BAD: allows everything --> Allowed - All tools en...
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| 9409 | 3dsvg-interactive-react | aradotso/trending-skills |
3dsvg — Interactive React 3D Components from SVGs Skill by ara.so — Daily 2026 Skills collection. 3dsvg extrudes SVG paths, text, and shapes into fully interactive 3D React components powered by Three.js and React Three Fiber. It ships as an embeddable <SVG3D> component (npm) plus a visual editor at 3dsvg.design . Installation npm install 3dsvg or yarn add 3dsvg or pnpm add 3dsvg Peer dependencies (install if not already present): npm install three @react-three/fiber @react-three/drei Quick St...
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| 9410 | progressive-web-app | aj-geddes/useful-ai-prompts |
Progressive Web App Overview Build progressive web applications with offline support, installability, service workers, and web app manifests to deliver app-like experiences in the browser. When to Use App-like web experiences Offline functionality needed Mobile installation required Push notifications Fast loading experiences Implementation Examples 1. Web App Manifest // public/manifest.json { "name": "My Awesome App", "short_name": "AwesomeApp", "description": "A progressive web applic...
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| 9411 | concurrency-patterns | aj-geddes/useful-ai-prompts |
Concurrency Patterns Overview Implement safe concurrent code using proper synchronization primitives and patterns for parallel execution. When to Use Multi-threaded applications Parallel data processing Race condition prevention Resource pooling Task coordination High-performance systems Async operations Worker pools Implementation Examples 1. Promise Pool (TypeScript) class PromisePool { private queue: Array<() => Promise<any>> = []; private active = 0; constructor(private concurrency:...
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| 9412 | comparison-table-generator | kostja94/marketing-skills |
Components: Comparison Table Section Guides comparison tables as an in-page section : a scannable matrix (rows × columns) embedded inside landing pages, blog posts, pricing pages, homepages, or docs. Not a standalone page type—parent page structure, URLs, and "alternatives vs blog" decisions come from alternatives-page-generator , landing-page-generator , article-page-generator , pricing-page-generator , etc. Distinct from FAQ (Q&A → FAQPage) and from HowTo (procedure → HowTo). schema-markup rem...
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| 9413 | async-python-patterns | sickn33/antigravity-awesome-skills |
Async Python Patterns Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems. When to Use This Skill Building async web APIs (FastAPI, aiohttp, Sanic) Implementing concurrent I/O operations (database, file, network) Creating web scrapers with concurrent requests Developing real-time applications (WebSocket servers, chat systems) Processing multiple independent t...
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| 9414 | manufacturing-expert | personamanagmentlayer/pcl |
Expert guidance for manufacturing systems, Industry 4.0, production optimization, quality control, and smart factory implementations. Core Concepts Manufacturing Systems - Manufacturing Execution Systems (MES) - Enterprise Resource Planning (ERP) - Computer-Aided Manufacturing (CAM) - Programmable Logic Controllers (PLC) - Industrial Internet of Things (IIoT) - Supply Chain Management (SCM) - Warehouse Management Systems (WMS) Industry 4.0 - Smart factories - Digital twins - Pred...
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| 9415 | kling-3-prompting | aedev-tools/kling-3-prompting-skill |
Overview Kling 3.0 is a unified multimodal video model. It understands cinematic direction , not keyword lists. Write prompts like a director — describe what the audience sees, hears, and feels over time. Core shift: Description → Direction. Think "direct a scene" not "describe an image." Interactive Builder Workflow When invoked, guide the user through these steps using AskUserQuestion : digraph builder { "1. Generation mode?" [ shape = diamond ] ; "Text-to-Video" [ shape = box ] ; "Image-to-Vi...
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| 9416 | repomix-safe-mixer | daymade/claude-code-skills |
Repomix Safe Mixer Overview Safely package codebases with repomix by automatically detecting and removing hardcoded credentials. This skill prevents accidental credential exposure when packaging code with repomix. It scans for hardcoded secrets (API keys, database credentials, tokens), reports findings, and ensures safe packaging. When to use: When packaging code with repomix for distribution, creating shareable reference packages, or whenever security concerns exist about hardcoded credentia...
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| 9417 | pdf-official | sickn33/antigravity-awesome-skills |
PDF Processing Guide Overview This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions. Quick Start from pypdf import PdfReader , PdfWriter Read a PDF reader = PdfReader ( "document.pdf" ) print ( f"Pages: { len ( reader . pages ) } " ) Extract text text = "" for page in reader . pages : t...
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| 9418 | threat-modeling-expert | sickn33/antigravity-awesome-skills |
Threat Modeling Expert Expert in threat modeling methodologies, security architecture review, and risk assessment. Masters STRIDE, PASTA, attack trees, and security requirement extraction. Use PROACTIVELY for security architecture reviews, threat identification, or building secure-by-design systems. Capabilities STRIDE threat analysis Attack tree construction Data flow diagram analysis Security requirement extraction Risk prioritization and scoring Mitigation strategy design Security control map...
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| 9419 | pymatgen | davila7/claude-code-templates |
Pymatgen - Python Materials Genomics Overview Pymatgen is a comprehensive Python library for materials analysis that powers the Materials Project. Create, analyze, and manipulate crystal structures and molecules, compute phase diagrams and thermodynamic properties, analyze electronic structure (band structures, DOS), generate surfaces and interfaces, and access Materials Project's database of computed materials. Supports 100+ file formats from various computational codes. When to Use This Skil...
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| 9420 | javascript-mastery | davila7/claude-code-templates |
🧠 JavaScript Mastery 33+ essential JavaScript concepts every developer should know, inspired by 33-js-concepts. When to Use This Skill Use this skill when: Explaining JavaScript concepts Debugging tricky JS behavior Teaching JavaScript fundamentals Reviewing code for JS best practices Understanding language quirks 1. Fundamentals 1.1 Primitive Types JavaScript has 7 primitive types: // String const str = "hello"; // Number (integers and floats) const num = 42; const float = 3.14; // BigI...
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| 9421 | server-management | davila7/claude-code-templates |
Server Management Server management principles for production operations. Learn to THINK, not memorize commands. 1. Process Management Principles Tool Selection Scenario Tool Node.js app PM2 (clustering, reload) Any app systemd (Linux native) Containers Docker/Podman Orchestration Kubernetes, Docker Swarm Process Management Goals Goal What It Means Restart on crash Auto-recovery Zero-downtime reload No service interruption Clustering Use all CPU cores Persistence Survive server reboot 2. Monit...
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| 9422 | isolate | camacho/ai-skills |
Isolate Create a worktree branched from the latest origin/main so task work never starts on stale code. Announce: "Setting up an isolated worktree for this task." Inputs Branch name: from /orient Step 1 (e.g., feat/auth , fix/login-crash ). Ask if not provided. Base ref: the current branch's parent (detected via reflog, default main ). Override only when explicitly stacking on a different branch. Detect parent branch The parent branch (what this branch will eventually merge into) is determined f...
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| 9423 | data-analyst | borghei/claude-skills |
Data Analyst You are an expert data analyst with expertise in SQL, Python (pandas), and statistical analysis. When to Apply Use this skill when: Writing SQL queries for data extraction Analyzing datasets with pandas Performing statistical analysis Creating data transformations Identifying data patterns and insights Data cleaning and preparation Core Competencies SQL Complex queries with JOINs, subqueries, CTEs Window functions and aggregations Query optimization Database design understanding pan...
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| 9424 | hyva-cms-component | hyva-themes/hyva-ai-tools |
Hyvä CMS Component Creator Overview This skill guides the interactive creation of custom Hyvä CMS components for Magento 2. It supports creating components in new or existing modules, with field presets for common patterns and automatic setup:upgrade execution. Command execution: For commands that need to run inside the development environment (e.g., bin/magento), use the hyva-exec-shell-cmd skill to detect the environment and determine the appropriate command wrapper. Workflow Step 1: Module...
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| 9425 | copilot-sdk | intellectronica/agent-skills |
GitHub Copilot SDK Embed Copilot's agentic workflows in any application using Python, TypeScript, Go, or .NET. Overview The GitHub Copilot SDK exposes the same engine behind Copilot CLI: a production-tested agent runtime you can invoke programmatically. No need to build your own orchestration - you define agent behavior, Copilot handles planning, tool invocation, file edits, and more. Prerequisites GitHub Copilot CLI installed and authenticated ( Installation guide ) Language runtime : Node.js 1...
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| 9426 | create-remotion-geist | vercel-labs/skill-remotion-geist |
Create Remotion videos styled with Vercel's Geist design system - dark backgrounds, spring animations, Geist fonts, and the 10-step color scale. When to Use - Creating any Remotion video that should look like Vercel - Building motion graphics with Geist's dark theme aesthetic - Making animated content using Geist typography and colors - Producing videos that need the polished Vercel visual style Critical Rules - NEVER use emojis - Use proper Geist icons from `@geist-ui/icons` package -...
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| 9427 | frontend-ui-animator | julianromli/ai-skills |
Frontend UI Animator Implement purposeful, performant animations that enhance UX without overwhelming users. Focus on key moments: hero intros, hover feedback, content reveals, and navigation transitions. Core Philosophy "You don't need animations everywhere" - Prioritize: Priority Area Purpose 1 Hero Intro First impression, brand personality 2 Hover Interactions Feedback, discoverability 3 Content Reveal Guide attention, reduce cognitive load 4 Background Effects Atmosphere, depth 5 Navigat...
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| 9428 | hive-setup | rllm-org/hive |
Hive Setup Hive is a platform where multiple agents collaborate on the same task. Agents share progress through claims, posts, and skills, building on each other's work to push results further than any single agent could alone. This skill is for setting up hive. Walk the user through each step, asking questions where needed. Fix problems yourself when possible. Only pause for user input is required (server URL, agent name, task selection). UX Note: Use AskUserQuestion for all user-facing questio...
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| 9429 | django-application | aj-geddes/useful-ai-prompts |
Django Application Overview Build comprehensive Django web applications with proper model design, view hierarchies, database operations, user authentication, and admin functionality following Django conventions and best practices. When to Use Creating Django web applications Designing models and database schemas Implementing views and URL routing Building authentication systems Using Django ORM for database operations Creating admin interfaces and dashboards Instructions 1. Django Project Setu...
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| 9430 | 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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| 9431 | 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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| 9432 | systematic-debugging | jnmetacode/superpowers-zh |
Systematic Debugging Overview Random fixes waste time and create new bugs. Quick patches mask underlying issues. Core principle: ALWAYS find root cause before attempting fixes. Symptom fixes are failure. Violating the letter of this process is violating the spirit of debugging. The Iron Law NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST If you haven't completed Phase 1, you cannot propose fixes. When to Use Use for ANY technical issue: Test failures Bugs in production Unexpected behavior Perfor...
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| 9433 | 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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| 9434 | playwright-interactive-sandbox | customware-ai/skills |
Core Workflow Write a brief QA inventory before testing: Build the inventory from three sources: the user's requested requirements, the user-visible features or behaviors you actually implemented, and the claims you expect to make in the final response. Anything that appears in any of those three sources must map to at least one QA check before signoff. List the user-visible claims you intend to sign off on. List every meaningful user-facing control, mode switch, or implemented interactive behav...
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| 9435 | build | camacho/ai-skills |
build — implement spec Single-thread native plan→execute. You are main Claude. No swarm. LOAD Read SPEC.md . If missing → tell user to invoke the spec skill first. Stop. Read FORMAT.md once if not loaded. Parse invocation args: §T.n → that task only --next → lowest-numbered row with status . or ~ --all or empty → every . row in §T order PLAN Native plan mode. For chosen task(s): Cite every §V invariant that applies. Plan must respect all. Cite every §I interface touched. Plan must preserve shape...
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| 9436 | tax-advisor | kazukinagata/shinkoku |
税務アドバイザー(Tax Advisor) 税理士・ライフプランナー相当の専門知識で、ユーザーの税務相談に回答するスキル。 令和7年分(2025年課税年度)の税制に基づく。 設定の読み込み(最初に実行) shinkoku.config.yaml を Read ツールで読み込む ファイルが存在しない場合は /setup スキルの実行を案内して終了する 設定値を把握し、相対パスは CWD を基準に絶対パスに変換する: db_path : MCP ツールの db_path 引数に使用 output_dir : 進捗ファイル等の出力先ベースディレクトリ 各ディレクトリ: ファイル参照時に使用 回答の基本方針 1. 正確性の担保 回答は必ず reference/ ディレクトリ内のファイルを根拠とする 一般知識や推測で回答しない。根拠が見つからない場合はその旨を明示する 金額・税率・要件は reference ファイルの数値を引用する 条文・通達の参照を回答に含める(例: 所得税法第89条、所基通36-1) 2. 回答の構造 以下の構造で回答を組み立てる: 結論を先に : 質問に対する端的な回答 ...
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| 9437 | elevenlabs-remotion | maartenlouis/elevenlabs-remotion-skill |
ElevenLabs Voiceover Generation Generate professional AI voiceovers for Remotion videos using ElevenLabs API. Prerequisites ELEVENLABS_API_KEY in .env.local Quick Start Generate voiceover from text node .claude/skills/elevenlabs-remotion-skill/generate.js --text "Your text here" --output public/audio/voiceover.mp3 Generate with narrator style (more natural) node .claude/skills/elevenlabs-remotion-skill/generate.js --text "Your text" --character narrator --output voiceover.mp3 Generate sce...
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| 9438 | code-simplifier | rtk-ai/rtk |
Code Simplifier You are an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit code over overly compact solutions. Refinement Principles 1. Preserve Functionality Never change what the code does - only how it does it. All original features, outputs, ...
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| 9439 | skill-finder | aktsmm/agent-skills |
Skill Finder Full-featured Agent Skills management tool. When to Use Find skill , search skill , install skill , スキル検索 Looking for skills for a specific task or domain Finding and installing skills locally Managing favorites with star feature Features Feature Description Search Local index + GitHub API + Web fallback Tags Filter by category ( azure bicep ) Install Download to local directory Star Mark and manage favorites Update Sync all sources from GitHub Quick Start Search python scripts/sea...
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| 9440 | getnote-search | iswalle/getnote-cli |
getnote-search Skill Semantic search across all notes or within a specific knowledge base. Prerequisites getnote CLI installed and authenticated ( getnote auth status should show "Authenticated") Commands Search notes getnote search <query> [--kb <topic_id>] [--limit <n>] Show more
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| 9441 | cause-and-effect | neolabhq/context-engineering-kit |
Cause and Effect Analysis Apply Fishbone (Ishikawa) diagram analysis to systematically explore all potential causes of a problem across multiple categories. Description Systematically examine potential causes across six categories: People, Process, Technology, Environment, Methods, and Materials. Creates structured "fishbone" view identifying contributing factors. Usage /cause-and-effect [problem_description] Variables PROBLEM: Issue to analyze (default: prompt for input) CATEGORIES: Categories ...
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| 9442 | symbolic-equation | lingzhi227/agent-research-skills |
Symbolic Equation Discovery Discover interpretable scientific equations from data using LLM-guided evolutionary search. Input $0 — Dataset description, variable names, and physical context References LLM-SR patterns (prompts, evolution, sampling): ~/.claude/skills/symbolic-equation/references/llmsr-patterns.md Workflow (from LLM-SR) Show more
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| 9443 | adspower-browser | adspower/adspower-browser |
AdsPower Local API with adspower-browser The Skills CLI (npx adspower-browser) is the package manager for operate AdsPower browser profiles, groups, proxies, and application/category lists via the adspower-browser CLI. When to Use This Skill Apply when the user: Asks to create, update, delete, or list AdsPower browser profiles Mentions opening or closing browsers/profiles, fingerprint, UA, or proxy Wants to manage groups, proxies, or check API status Refers to AdsPower or adspower-browser (and M...
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| 9444 | apify | vm0-ai/vm0-skills |
Apify Web scraping and automation platform. Run pre-built Actors (scrapers) or create your own. Access thousands of ready-to-use scrapers for popular websites. Official docs: https://docs.apify.com/api/v2 When to Use Use this skill when you need to: Scrape data from websites (Amazon, Google, LinkedIn, Twitter, etc.) Run pre-built web scrapers without coding Extract structured data from any website Automate web tasks at scale Store and retrieve scraped data Prerequisites Create an account at...
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| 9445 | security-headers-configuration | aj-geddes/useful-ai-prompts |
Security Headers Configuration Overview Implement comprehensive HTTP security headers to protect web applications from XSS, clickjacking, MIME sniffing, and other browser-based attacks. When to Use New web application deployment Security audit remediation Compliance requirements Browser security hardening API security Static site protection Implementation Examples 1. Node.js/Express Security Headers // security-headers.js const helmet = require('helmet'); function configureSecurityHeaders(app...
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| 9446 | api-response-optimization | aj-geddes/useful-ai-prompts |
API Response Optimization Overview Fast API responses improve overall application performance and user experience. Optimization focuses on payload size, caching, and query efficiency. When to Use Slow API response times High server CPU/memory usage Large response payloads Performance degradation Scaling bottlenecks Instructions 1. Response Payload Optimization // Inefficient response (unnecessary data) GET /api/users/123 { "id": 123, "name": "John", "email": "john@example.com", "passwo...
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| 9447 | file-upload-handling | aj-geddes/useful-ai-prompts |
File Upload Handling Overview Build secure and robust file upload systems with validation, sanitization, virus scanning, efficient storage management, CDN integration, and proper file serving mechanisms across different backend frameworks. When to Use Implementing file upload features Managing user-uploaded documents Storing and serving media files Implementing profile picture uploads Building document management systems Handling bulk file imports Instructions 1. Python/Flask File Upload conf...
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| 9448 | e2e-testing-patterns | sickn33/antigravity-awesome-skills |
E2E Testing Patterns Build reliable, fast, and maintainable end-to-end test suites that provide confidence to ship code quickly and catch regressions before users do. When to Use This Skill Implementing end-to-end test automation Debugging flaky or unreliable tests Testing critical user workflows Setting up CI/CD test pipelines Testing across multiple browsers Validating accessibility requirements Testing responsive designs Establishing E2E testing standards Core Concepts 1. E2E Testing Fundam...
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| 9449 | error-handling-patterns | sickn33/antigravity-awesome-skills |
Error Handling Patterns Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences. When to Use This Skill Implementing error handling in new features Designing error-resilient APIs Debugging production issues Improving application reliability Creating better error messages for users and developers Implementing retry and circuit breaker patterns Handling async/concurrent errors Building fault-tolerant distribut...
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| 9450 | faiss | davila7/claude-code-templates |
FAISS - Efficient Similarity Search Facebook AI's library for billion-scale vector similarity search. When to use FAISS Use FAISS when: Need fast similarity search on large vector datasets (millions/billions) GPU acceleration required Pure vector similarity (no metadata filtering needed) High throughput, low latency critical Offline/batch processing of embeddings Metrics: 31,700+ GitHub stars Meta/Facebook AI Research Handles billions of vectors C++ with Python bindings Use alternatives i...
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