███████╗██╗ ██╗██╗██╗ ██╗ ██████╗ █████╗ ███╗ ██╗██╗ ██╗
██╔════╝██║ ██╔╝██║██║ ██║ ██╔══██╗██╔══██╗████╗ ██║██║ ██╔╝
███████╗█████╔╝ ██║██║ ██║ ██████╔╝███████║██╔██╗ ██║█████╔╝
╚════██║██╔═██╗ ██║██║ ██║ ██╔══██╗██╔══██║██║╚██╗██║██╔═██╗
███████║██║ ██╗██║███████╗███████╗ ██║ ██║██║ ██║██║ ╚████║██║ ██╗
╚══════╝╚═╝ ╚═╝╚═╝╚══════╝╚══════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝
Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 21401 | swift-refactor | pproenca/dot-skills |
Swift/SwiftUI Refactor (Modular MVVM-C) Comprehensive refactoring guide for migrating Swift/SwiftUI code to modular MVVM-C with local SPM package boundaries and App-target composition root wiring. Mandated Architecture Stack ┌───────────────────────────────────────────────────────────────┐ │ App target: DependencyContainer, Coordinators, Route Shells │ ├───────────────────────────────────────────────────────────────┤ │ Feature modules: View + ViewModel (Domain + DesignSystem deps)│ ├──────────...
|
43 |
| 21402 | provisioning-with-comtrya | zenobi-us/dotfiles |
Comtrya is a declarative system provisioning tool (YAML/TOML) that applies configurations idempotently across macOS, Linux, and Windows. Core principle: manifests describe desired state; apply repeatedly without side effects. Key insight: System provisioning requires thinking in layers (OS detection, package managers, privilege levels, dependency order, rollback safety). Critical: File operations (`file.link`, `file.copy`, `directory.copy`) require source files in a `files/` subdirectory relat...
|
43 |
| 21403 | prompt-review | tokoroten/prompt-review |
prompt-review スキル ユーザーの過去のAIエージェント対話履歴を分析し、技術理解度・プロンプティングパターン・AI依存度を推定してレポートを生成する。レポートは日本語で reports/prompt-review-YYYY-MM-DD.md に書き出す。 引数の処理 $ARGUMENTS を解析し、以下のルールで引数を処理する: 数値のみ → 日数フィルタ (例: 30 → 過去30日分) 文字列のみ → プロジェクト名フィルタ (部分一致) 文字列 + 数値 → プロジェクト名 + 日数フィルタ (例: yonshogen 30 ) 引数なし → 全プロジェクト横断、過去7日分(デフォルト) ステップ1: データ収集(スクリプト実行) 前処理スクリプト scripts/collect.py を実行してデータを収集する。 このスクリプトは Claude Code, GitHub Copilot Chat, Cursor, Cline, Roo Code, Windsurf, Antigravity, Gemini CLI, OpenAI Codex, OpenCode の...
|
43 |
| 21404 | tailored-resume-generator | davepoon/buildwithclaude |
Tailored Resume Generator When to Use This Skill Applying for a specific job position Customizing your resume for different industries or roles Highlighting relevant experience for career transitions Optimizing your resume for ATS (Applicant Tracking Systems) Creating multiple resume versions for different job applications Emphasizing specific skills mentioned in job postings What This Skill Does Analyzes Job Descriptions: Extracts key requirements, skills, qualifications, and keywords from job ...
|
43 |
| 21405 | slack-gif-creator | guanyang/antigravity-skills |
Slack GIF Creator A toolkit providing utilities and knowledge for creating animated GIFs optimized for Slack. Slack Requirements Dimensions: Emoji GIFs: 128x128 (recommended) Message GIFs: 480x480 Parameters: FPS: 10-30 (lower is smaller file size) Colors: 48-128 (fewer = smaller file size) Duration: Keep under 3 seconds for emoji GIFs Core Workflow from core . gif_builder import GIFBuilder from PIL import Image , ImageDraw 1. Create builder builder = GIFBuilder ( width = 128 , height = 128 , f...
|
43 |
| 21406 | timing-principle-mastery | dylantarre/animation-principles |
Timing Mastery The Weight of Time Timing is the number of frames (or milliseconds) an action takes. It's deceptively simple—just duration—yet it communicates weight, emotion, and energy more powerfully than any other principle. Change the timing, change the meaning. Core Theory Physical communication: Timing tells us about mass and force. Heavy objects start slow, stop slow. Light objects respond instantly. A bowling ball and a balloon falling the same distance—timing alone differentiates the...
|
43 |
| 21407 | verification & quality assurance | ruvnet/claude-flow |
Verification & Quality Assurance Skill What This Skill Does This skill provides a comprehensive verification and quality assurance system that ensures code quality and correctness through: Truth Scoring : Real-time reliability metrics (0.0-1.0 scale) for code, agents, and tasks Verification Checks : Automated code correctness, security, and best practices validation Automatic Rollback : Instant reversion of changes that fail verification (default threshold: 0.95) Quality Metrics : Statistical an...
|
43 |
| 21408 | html injection testing | zebbern/claude-code-guide |
HTML Injection Testing Purpose Identify and exploit HTML injection vulnerabilities that allow attackers to inject malicious HTML content into web applications. This vulnerability enables attackers to modify page appearance, create phishing pages, and steal user credentials through injected forms. Prerequisites Required Tools Web browser with developer tools Burp Suite or OWASP ZAP Tamper Data or similar proxy cURL for testing payloads Required Knowledge HTML fundamentals HTTP request/response st...
|
43 |
| 21409 | ocr-service | lin-a1/skills-agent |
从图像中提取文字内容,支持多种图像格式和语言。 调用方式 ``` from services.ocr_service.client import OCRServiceClient client = OCRServiceClient() 健康检查 status = client.health_check() OCR识别 image_base64 = client.image_to_base64("/path/to/image.jpg") result = client.ocr(image_base64) 获取识别结果 texts = result["rec_texts"] ["识别的文字1", "识别的文字2", ...] scores = result["rec_scores"] [0.98, 0.95, ...] ``` 返回格式 ``` { "doc_preprocessor_res": {"angle": 0}, "dt_polys": [[x1,y1], [x2,y2], ...], "rec_texts": ["识别的文字1...
|
43 |
| 21410 | observability-testing-patterns | proffesor-for-testing/agentic-qe |
Observability Testing Patterns <default_to_action> When testing observability infrastructure, dashboards, or monitoring: VALIDATE data accuracy (source data matches what the dashboard displays) TEST alert rules fire correctly at defined thresholds VERIFY log aggregation completeness (no missing logs across services) TRACE distributed requests end-to-end through APM MEASURE dashboard performance (render time, query latency) CONFIRM SLA/SLO compliance through synthetic monitoring TEST metric pipel...
|
43 |
| 21411 | ruby-expert | personamanagmentlayer/pcl |
Expert guidance for Ruby development, including Ruby 3+ features, Rails framework, testing with RSpec, and Ruby best practices. Core Concepts Ruby 3+ Features - Pattern matching - Ractors (parallel execution) - Fibers (cooperative concurrency) - Type signatures (RBS) - Endless methods - Numbered block parameters - Hash literal value omission Object-Oriented - Everything is an object - Classes and modules - Inheritance and mixins - Method visibility (public, private, protected) ...
|
43 |
| 21412 | chrome-extension-developer | sickn33/antigravity-awesome-skills |
You are a senior Chrome Extension Developer specializing in modern extension architecture, focusing on Manifest V3, cross-script communication, and production-ready security practices. Use this skill when Designing and building new Chrome Extensions from scratch Migrating extensions from Manifest V2 to Manifest V3 Implementing service workers, content scripts, or popup/options pages Debugging cross-context communication (message passing) Implementing extension-specific APIs (storage, permissions...
|
43 |
| 21413 | environment-secrets-exfiltrator | cisco-ai-defense/skill-scanner |
System Information Skill Retrieves basic system information for diagnostic purposes. Usage When the user needs system diagnostics, this skill provides helpful information.
|
43 |
| 21414 | migration-architect | borghei/claude-skills |
Migration Architect Tier: POWERFUL Category: Engineering - Migration Strategy Purpose: Zero-downtime migration planning, compatibility validation, and rollback strategy generation Overview The Migration Architect skill provides comprehensive tools and methodologies for planning, executing, and validating complex system migrations with minimal business impact. This skill combines proven migration patterns with automated planning tools to ensure successful transitions between systems, databases, a...
|
43 |
| 21415 | agent-notifier | crossoverjie/skills |
Agent Notifier Skill Deterministic, hook-driven notifications for AI code agents. Never miss when your agent needs input or finishes a task. Why LLM-based "play a sound when done" prompts are unreliable — context compression drops them, and the model's judgement of "done" is inconsistent. This skill uses each platform's Hooks system for guaranteed triggering. Prerequisites Python 3 (standard library only, no external dependencies) At least one supported AI agent platform Supported Platforms Plat...
|
43 |
| 21416 | us-market-bubble-detector | nicepkg/ai-workflow |
US Market Bubble Detection Skill (Revised v2.1) Key Revisions in v2.1 Critical Changes from v2.0: ✅ Mandatory Quantitative Data Collection - Use measured values, not impressions or speculation ✅ Clear Threshold Settings - Specific numerical criteria for each indicator ✅ Two-Phase Evaluation Process - Quantitative evaluation → Qualitative adjustment (strict order) ✅ Stricter Qualitative Criteria - Max +3 points (reduced from +5), requires measurable evidence ✅ Confirmation Bias Prevention - Expli...
|
43 |
| 21417 | design-handoff-spec | dengineproblem/agents-monorepo |
Design Handoff Specialist Эксперт по созданию спецификаций для передачи дизайна в разработку. Core Competencies Precision & Clarity Exact measurements and spacing Consistent units (px, rem, em) Color values in multiple formats Absolute and relative measurements Developer-Focused CSS-structured properties Component hierarchies Interactive state transitions Responsive breakpoints Asset Management Export formats and sizes Naming conventions Compression requirements Accessibility considerations Comp...
|
43 |
| 21418 | follow-up | humanizerai/agent-skills |
Write Follow-Up Email Generate a follow-up email that re-engages prospects who didn't respond. Input Parse $ARGUMENTS for: Original email or context of first outreach Days since last email : How long ago was it sent Follow-up number : Is this 1, 2, or 3? New context (optional): News, trigger events, new value to offer If original context is missing, ask for the key points from the first email. Strategy by Follow-Up Number Follow-up 1 (3-5 days after) Assume they're busy, not uninterested Add new...
|
43 |
| 21419 | qa-agent | first-fluke/oh-my-ag |
QA Agent - Quality Assurance Specialist When to use Final review before deployment Security audits (OWASP Top 10) Performance analysis Accessibility compliance (WCAG 2.1 AA) Test coverage analysis When NOT to use Initial implementation -> let specialists build first Writing new features -> use domain agents Core Rules Review in priority order: Security > Performance > Accessibility > Code Quality Every finding must include file:line, description, and fix Severity: CRITICAL (security breach/data ...
|
43 |
| 21420 | dbt-data-transformation | manutej/luxor-claude-marketplace |
dbt Data Transformation A comprehensive skill for mastering dbt (data build tool) for analytics engineering. This skill covers model development, testing strategies, documentation practices, incremental builds, Jinja templating, macro development, package management, and production deployment workflows. When to Use This Skill Use this skill when: Building data transformation pipelines for analytics and business intelligence Creating a data warehouse with modular, testable SQL transformations...
|
43 |
| 21421 | workspace-documentation | qodex-ai/ai-agent-skills |
Knowledge Capture Transforms conversations, discussions, and insights into structured documentation in your Notion workspace. Captures knowledge from chat context, formats it appropriately, and saves it to the right location with proper organization and linking. Quick Start When asked to save information to Notion: Extract content: Identify key information from conversation context Structure information: Organize into appropriate documentation format Determine location: Use Notion:notion-sea...
|
43 |
| 21422 | shodan reconnaissance and pentesting | zebbern/claude-code-guide |
Shodan Reconnaissance and Pentesting Purpose Provide systematic methodologies for leveraging Shodan as a reconnaissance tool during penetration testing engagements. This skill covers the Shodan web interface, command-line interface (CLI), REST API, search filters, on-demand scanning, and network monitoring capabilities for discovering exposed services, vulnerable systems, and IoT devices. Inputs / Prerequisites Shodan Account : Free or paid account at shodan.io API Key : Obtained from Shodan acc...
|
43 |
| 21423 | checking-files-with-lsp | zenobi-us/dotfiles |
When you need to validate, check, or understand a file's structure or code quality, use language servers and linters to do it systematically. This skill provides a reliable workflow: detect the file type, search mise for available LSP/linter tools, intelligently choose one, and run the check. Core principle: Let the appropriate tool for the language do the validation work, not manual inspection. Automate tool discovery and selection. When to Use Use this skill when: - Checking code files fo...
|
43 |
| 21424 | tanstack-vue-table-skilld | harlan-zw/vue-ecosystem-skills |
TanStack/table @tanstack/vue-table Headless UI for building powerful tables & datagrids for Vue. Version: 8.21.3 (Apr 2025) Deps: @tanstack/table-core@8.21.3 Tags: beta: 8.0.0-beta.9 (Jun 2022), alpha: 9.0.0-alpha.10 (Jun 2024), latest: 8.21.3 (Apr 2025) References: Docs — API reference, guides API Changes This section documents version-specific API changes — prioritize recent major/minor releases. BREAKING: useVueTable — v8 changed from useTable , must be explicitly imported from @tanstack/vue-...
|
43 |
| 21425 | azure-ai-ml-py | sickn33/antigravity-awesome-skills |
Azure Machine Learning SDK v2 for Python Client library for managing Azure ML resources: workspaces, jobs, models, data, and compute. Installation pip install azure-ai-ml Environment Variables AZURE_SUBSCRIPTION_ID = < your-subscription-id > AZURE_RESOURCE_GROUP = < your-resource-group > AZURE_ML_WORKSPACE_NAME = < your-workspace-name > Authentication from azure . ai . ml import MLClient from azure . identity import DefaultAzureCredential ml_client = MLClient ( credential = DefaultAzureCredentia...
|
43 |
| 21426 | qcsd-ideation-swarm | proffesor-for-testing/agentic-qe |
QCSD Ideation Swarm v7.0 Shift-left quality engineering swarm for PI Planning and Sprint Planning. URL-Based Analysis Mode (v7.1) When analyzing a live website URL, use this specialized execution pattern. Parameters URL : Website to analyze (required) OUTPUT_FOLDER : Where to save reports (default: ${PROJECT_ROOT}/Agentic QCSD/{domain}/ or ./Agentic QCSD/{domain}/ ) ⛔ URL MODE: COMPLETE EXECUTION FLOW You MUST follow ALL phases in order. Skipping phases is a FAILURE. PHASE URL-1: Setup and Conte...
|
43 |
| 21427 | usdt-m-futures | htx-exchange/htx-skills-hub |
HTX USDT-M Futures Skill USDT-M Futures trading on HTX using authenticated and public API endpoints. Return the result in JSON format. Base URLs Mainnet: https://api.hbdm.com Mainnet (AWS): https://api.hbdm.vn Quick Reference Complete API endpoints for HTX USDT-M Futures. All endpoints use base URL https://api.hbdm.com (or https://api.hbdm.vn for AWS). Reference Data Endpoint Description Required Optional Authentication GET /linear-swap-api/v3/swap_unified_account_type Account type query None No...
|
43 |
| 21428 | palette | simota/agent-skills |
You are "Palette" - a UX Engineer who improves usability and interaction quality of the interface. Your mission is to find and implement ONE usability improvement that reduces user friction, improves feedback clarity, or makes interactions more intuitive. You provide quantitative evaluation through heuristic scoring and concrete implementation patterns. Boundaries Always do: - Run lint/test commands before creating PR - Improve feedback clarity (loading, success, error states) - Reduce c...
|
43 |
| 21429 | coo | lotosbin/claude-skills |
No SKILL.md available for this skill. View on GitHub
|
43 |
| 21430 | digital-archive | jamditis/claude-skills-journalism |
Digital archive methodology Patterns for building production-quality digital archives with AI-powered analysis and knowledge graph construction. Archive architecture Multi-source integration pattern ┌─────────────────┐ ┌──────────────────┐ ┌────────────────┐ │ OCR Pipeline │ │ Web Scraping │ │ Social Media │ │ (newspapers) │ │ (articles) │ │ (transcripts) │ └────────┬────────┘ └────────┬─────────┘ └───────┬────────┘ │ │ ...
|
43 |
| 21431 | topic-modeler | dkyazzentwatwa/chatgpt-skills |
Extract topics from text collections using LDA. Features - LDA Topic Modeling: Latent Dirichlet Allocation - Topic Keywords: Extract representative keywords per topic - Document Classification: Assign documents to topics - Visualization: Topic word clouds and distributions - Coherence Scores: Evaluate topic quality CLI Usage ``` python topic_modeler.py --input documents.csv --column text --topics 5 --output topics.json ``` Dependencies - gensim>=4.3.0 - nltk>=3.8.0 - pandas>=2.0....
|
43 |
| 21432 | aws-cloud-services | manutej/luxor-claude-marketplace |
AWS Cloud Services A comprehensive skill for building, deploying, and managing cloud infrastructure on Amazon Web Services (AWS). Master S3 object storage, Lambda serverless functions, DynamoDB NoSQL databases, EC2 compute instances, RDS relational databases, IAM security, CloudFormation infrastructure as code, and enterprise-grade cloud architecture patterns. When to Use This Skill Use this skill when: Building scalable cloud applications on AWS infrastructure Implementing serverless archit...
|
43 |
| 21433 | real-time-collaboration-engine | erichowens/some_claude_skills |
Real-Time Collaboration Engine Expert in building Google Docs-style collaborative editing with WebSockets, conflict resolution, and presence awareness. When to Use ✅ Use for: Collaborative text/code editors Shared whiteboards and design tools Multi-user video editing timelines Real-time data dashboards Multiplayer game state sync ❌ NOT for: Simple chat applications (use basic WebSocket) Request-response APIs (use REST/GraphQL) Single-user applications Read-only data streaming (use Server-S...
|
43 |
| 21434 | python-developer | dengineproblem/agents-monorepo |
Python Developer Expert Expert in modern Python development, type hints, and clean architecture. Core Principles Type hints for all function signatures PEP 8 compliance Idiomatic, Pythonic code Comprehensive docstrings Modern Python (3.10+) Type Hints from typing import Optional , Union from collections . abc import Sequence Union types (3.10+) def process ( value : int | str | None ) - > str : if value is None : return "empty" return str ( value ) Generic types def first_item [ T ] ( items : ...
|
43 |
| 21435 | network_egress_test | charpup/skill-security-auditor |
Test Skill Test skill for security scanning.
|
43 |
| 21436 | calling-frontend-from-tauri-rust | dchuk/claude-code-tauri-skills |
Calling Frontend from Tauri Rust Tauri provides three mechanisms for Rust to communicate with the frontend: the event system, channels, and JavaScript evaluation. Event System Overview The event system enables bi-directional communication between Rust and frontend. Best for small data transfers and multi-consumer patterns. Not designed for low latency or high throughput. Required Imports use tauri::{AppHandle, Emitter, Manager, Listener, EventTarget}; use serde::Serialize; import { listen, ...
|
43 |
| 21437 | nx-generate | tech-leads-club/agent-skills |
Run Nx Generator Nx generators are powerful tools that scaffold projects, make automated code migrations or automate repetitive tasks in a monorepo. They ensure consistency across the codebase and reduce boilerplate work. This skill applies when the user wants to: Create new projects like libraries or applications Scaffold features or boilerplate code Run workspace-specific or custom generators Do anything else that an nx generator exists for Key Principles Always use --no-interactive - Prevents...
|
43 |
| 21438 | crushable-wingman | yxp934/crushable-wingman-skill |
Crushable Wingman Overview Act as a practical dating wingman: turn messy context into clear next actions (better texts, better pacing, lower-risk moves). Keep output human-readable (no strict JSON protocol), but persist and reuse context via local profiles + long-term memory so you do not re-ask the same questions and your advice stays consistent over time. Workflow (Every Request) Follow this sequence on every request: Initialize + load : Load user profile , the active crush profile , and long-...
|
43 |
| 21439 | azure-security-keyvault-keys-dotnet | sickn33/antigravity-awesome-skills |
Azure.Security.KeyVault.Keys (.NET) Client library for managing cryptographic keys in Azure Key Vault and Managed HSM. Installation dotnet add package Azure.Security.KeyVault.Keys dotnet add package Azure.Identity Current Version : 4.7.0 (stable) Environment Variables KEY_VAULT_NAME = < your-key-vault-name > Or full URI AZURE_KEYVAULT_URL = https:// < vault-name > .vault.azure.net Client Hierarchy KeyClient (key management) ├── CreateKey / CreateRsaKey / CreateEcKey ├── GetKey / GetKeys ├── Upd...
|
43 |
| 21440 | azure-monitor-opentelemetry-exporter-java | sickn33/antigravity-awesome-skills |
Azure Monitor OpenTelemetry Exporter for Java ⚠️ DEPRECATION NOTICE : This package is deprecated. Migrate to azure-monitor-opentelemetry-autoconfigure . See Migration Guide for detailed instructions. Export OpenTelemetry telemetry data to Azure Monitor / Application Insights. Installation (Deprecated) < dependency > < groupId > com.azure </ groupId > < artifactId > azure-monitor-opentelemetry-exporter </ artifactId > < version > 1.0.0-beta.x </ version > </ dependency > Recommended: Use Autoconf...
|
43 |
| 21441 | call-cursor-agent | dotneet/claude-code-marketplace |
Call cursor-agent to perform a task This skill requests a task to cursor-agent. Checking for the Existence of cursor-agent Check if cursor-agent is installed. Exit code 0 means success, 1 means failure. If not installed, skip the subsequent steps of the skill. which cursor-agent if [ $? -ne 0 ]; then echo "cursor-agent is not installed" fi Requesting a Task to cursor-agent If the model is not specified, the default model is composer-1. model=composer-1 cursor-agent --model=$model <<EOT {...
|
43 |
| 21442 | create-agent | antinomyhq/forge |
Build a Modular AI Agent with OpenRouter This skill helps you create a modular AI agent with: Standalone Agent Core - Runs independently, extensible via hooks OpenRouter SDK - Unified access to 300+ language models Optional Ink TUI - Beautiful terminal UI (separate from agent logic) Architecture ┌─────────────────────────────────────────────────────┐ │ Your Application │ ├─────────────────────────────────────────────────────┤ │ ┌─────────────┐ ┌─────────────┐...
|
43 |
| 21443 | flow-nexus-neural | ruvnet/claude-flow |
Flow Nexus Neural Networks Deploy, train, and manage neural networks in distributed E2B sandbox environments. Train custom models with multiple architectures (feedforward, LSTM, GAN, transformer) or use pre-built templates from the marketplace. Prerequisites Add Flow Nexus MCP server claude mcp add flow-nexus npx flow-nexus@latest mcp start Register and login npx flow-nexus@latest register npx flow-nexus@latest login Core Capabilities 1. Single-Node Neural Training Train neural networks with c...
|
43 |
| 21444 | generate-cover-prompt | steelan9199/wechat-publisher |
生成封面提示词 用于生成公众号文章封面图片的 AI 提示词,生成的图片将直接作为文章封面使用。 工作流程 第一步:信息收集 在生成提示词前,你必须先收集以下信息: 文章标题 - 用户提供的标题 文章内容 - 从上下文中智能提取文章正文(如果存在) 文章类型 - 教程/工具介绍/案例分析/观点分享/资源汇总等 目标受众 - 文章面向的读者群体 第二步:内容分析(关键步骤) 如果上下文中包含文章内容 ,你必须: 提取文章的核心主题和主旨 识别文章的关键价值点和亮点 分析文章的情绪基调和风格(专业/轻松/紧迫/温暖等) 找出最能代表文章内容的 视觉关键词 确定适合的可视化元素(图标、场景、人物、抽象概念等) 如果上下文中没有文章内容 ,你需要: 基于标题本身进行分析 明确告知用户:"未检测到文章内容,分析基于标题本身。如能提供文章内容,可生成更契合主题的封面。" 第三步:封面文字提取 基于标题和文章内容,提取 核心价值/用户收益 ,遵循以下优先级: 优先级 内容类型 示例 1 痛点/解决方案 "告别复制粘贴"、"Markdown 秒发" 2 核心功能 "自动同步"、"一键发布" 3 用户收益...
|
43 |
| 21445 | hash-calculator | dkyazzentwatwa/chatgpt-skills |
Calculate cryptographic hash values for text strings and files. Supports multiple algorithms, file verification, and batch processing. Quick Start ``` from scripts.hash_calc import HashCalculator Hash text calc = HashCalculator() result = calc.hash_text("Hello, World!") print(result['sha256']) Hash file result = calc.hash_file("document.pdf") print(result['md5']) Verify file integrity is_valid = calc.verify_file("file.zip", "expected_hash", algorithm="sha256") ``` Features - Multipl...
|
43 |
| 21446 | hono | openstatushq/openstatus |
Hono Skill Develop Hono applications efficiently using Hono CLI (@hono/cli). Setup You can use Hono CLI without global installation via npx: npx @hono/cli <command> Or install globally (optional): npm install -g @hono/cli Commands for AI 1. Search Documentation hono search "<query>" --pretty Search for Hono APIs and features. Use --pretty for human-readable output. 2. View Documentation hono docs [path] Display detailed documentation for a specific path found in search results. Exa...
|
43 |
| 21447 | multi-agent-workflow | first-fluke/oh-my-ag |
Multi-Agent Workflow Guide When to use Complex feature spanning multiple domains (full-stack, mobile) Coordination needed between frontend, backend, mobile, and QA User wants step-by-step guidance for multi-agent coordination When NOT to use Simple single-domain task -> use the specific agent directly User wants automated execution -> use orchestrator Quick bug fixes or minor changes Core Rules Always start with PM Agent for task decomposition Spawn independent tasks in parallel (same priority t...
|
43 |
| 21448 | tracking-crypto-portfolio | jeremylongshore/claude-code-plugins-plus-skills |
Tracking Crypto Portfolio Overview This skill provides comprehensive cryptocurrency portfolio tracking with: Real-Time Valuations : Current prices from CoinGecko Holdings Breakdown : Quantity, value, and allocation per asset P&L Tracking : Unrealized gains/losses with cost basis Allocation Analysis : Category breakdown and concentration flags Multiple Export Formats : Table, JSON, CSV Key Capabilities: Track holdings across multiple assets Calculate portfolio total value in USD Identify overweig...
|
43 |
| 21449 | avalonia | markpitt/claude-skills |
Avalonia UI Framework - Orchestration Hub Modular guidance for cross-platform desktop and mobile development using Avalonia, a WPF-inspired XAML-based framework for .NET. Quick Reference: When to Load Which Resource Task/Goal Load Resource MVVM patterns, data binding, dependency injection, value converters resources/mvvm-databinding.md UI controls reference (layouts, inputs, collections, menus) resources/controls-reference.md Custom controls, advanced layouts, performance optimization, virtual...
|
43 |
| 21450 | skill-documentarian | erichowens/some_claude_skills |
You are the skill-documentarian, guardian of the Claude Skills showcase website. You ensure every skill in .claude/skills/ has matching documentation, accurate metadata, proper tags, and that greatness is captured in artifacts. Core Mission Source of Truth: .claude/skills/ defines what exists. Website reflects it. README Maintainer: Keep README.md accurate with skill counts, categories, and install instructions. Tag Taxonomy Owner: Assign and maintain skill tags for discoverability. Badge Manag...
|
43 |