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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 1151 | langchain-dependencies | langchain-ai/langchain-skills |
Key principles: LangChain 1.0 is the current LTS release. Always start new projects on 1.0+. LangChain 0.3 is legacy maintenance-only — do not use it for new work. langchain-core is the shared foundation: always install it explicitly alongside any other package. langchain-community (Python only) does NOT follow semantic versioning; pin it conservatively. LangGraph vs Deep Agents: choose one orchestration approach based on your use case — they are alternatives, not a required stack (see Framework...
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9.6K |
| 1152 | security-review | getsentry/skills |
Security Review Skill This skill ensures all code follows security best practices and identifies potential vulnerabilities. When to Activate Implementing authentication or authorization Handling user input or file uploads Creating new API endpoints Working with secrets or credentials Implementing payment features Storing or transmitting sensitive data Integrating third-party APIs Security Checklist 1. Secrets Management ❌ NEVER Do This const apiKey = "sk-proj-xxxxx" // Hardcoded secret const dbP...
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9.6K |
| 1153 | feature-sliced-design | feature-sliced/skills |
Feature-Sliced Design (FSD) v2.1 Source : fsd.how | Strictness can be adjusted based on project scale and team context. 1. Core Philosophy & Layer Overview FSD v2.1 core principle: "Start simple, extract when needed." Place code in pages/ first. Duplication across pages is acceptable and does not automatically require extraction to a lower layer. Extract only when the team agrees it is necessary. Not all layers are required. Most projects can start with only shared/ , pages/ , and app/ . Add wid...
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9.6K |
| 1154 | dbs-chatroom | dontbesilent2025/dbskill |
dbs-chatroom:定向聊天室 你是定向聊天室的主持人。根据话题推荐或接受用户指定的专家,模拟多角色对话。 工作流程 第一步:检测模式 情况 A:用户指定了人物 格式: /dbs-chatroom [人物1] [人物2] [人物3] 示例: /dbs-chatroom 查理·芒格 丹尼尔·卡尼曼 雷·达里奥 动作:直接跳到第三步 情况 B:用户未指定人物 格式: /dbs-chatroom (或其他触发词) 动作:进入第二步 第二步:推荐人物(仅情况 B) 分析话题,推荐 3-5 位专家: 🎯 根据话题「{话题总结}」,推荐以下专家: 1. {人物1}:{核心观点一句话} 2. {人物2}:{核心观点一句话} 3. {人物3}:{核心观点一句话} 确认后启动聊天室。 停在这里,等用户回复「确认」「开始」或调整人选。不要继续执行。 第三步:生成对话(使用 Agent tool) 确认人物后,使用 Agent tool 并行调用多个专家。每个专家一个独立 Agent。 Prompt 模板结构 为每位专家生成如下结构的 prompt: 你是 {专家名字}。 话题:{用户的话题} 思考方...
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9.6K |
| 1155 | prompt-builder | github/awesome-copilot |
Professional Prompt Builder You are an expert prompt engineer specializing in GitHub Copilot prompt development with deep knowledge of: Prompt engineering best practices and patterns VS Code Copilot customization capabilities Effective persona design and task specification Tool integration and front matter configuration Output format optimization for AI consumption Your task is to guide me through creating a new .prompt.md file by systematically gathering requirements and generating a complete, ...
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9.5K |
| 1156 | dataverse-python-production-code | github/awesome-copilot |
System Instructions You are an expert Python developer specializing in the PowerPlatform-Dataverse-Client SDK. Generate production-ready code that: Implements proper error handling with DataverseError hierarchy Uses singleton client pattern for connection management Includes retry logic with exponential backoff for 429/timeout errors Applies OData optimization (filter on server, select only needed columns) Implements logging for audit trails and debugging Includes type hints and docstrings Follo...
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9.5K |
| 1157 | create-architectural-decision-record | github/awesome-copilot |
Create Architectural Decision Record Create an ADR document for ${input:DecisionTitle} using structured formatting optimized for AI consumption and human readability. Inputs Context : ${input:Context} Decision : ${input:Decision} Alternatives : ${input:Alternatives} Stakeholders : ${input:Stakeholders} Input Validation If any of the required inputs are not provided or cannot be determined from the conversation history, ask the user to provide the missing information before proceeding with ADR ge...
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9.5K |
| 1158 | refactor-method-complexity-reduce | github/awesome-copilot |
Refactor Method to Reduce Cognitive Complexity Objective Refactor the method ${input:methodName} , to reduce its cognitive complexity to ${input:complexityThreshold} or below, by extracting logic into focused helper methods. Instructions Analyze the current method to identify sources of cognitive complexity: Nested conditional statements Multiple if-else or switch chains Repeated code blocks Multiple loops with conditions Complex boolean expressions Identify extraction opportunities : Validation...
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9.5K |
| 1159 | react-modernization | wshobson/agents |
React Modernization Master React version upgrades, class to hooks migration, concurrent features adoption, and codemods for automated transformation. When to Use This Skill Upgrading React applications to latest versions Migrating class components to functional components with hooks Adopting concurrent React features (Suspense, transitions) Applying codemods for automated refactoring Modernizing state management patterns Updating to TypeScript Improving performance with React 18+ features Versio...
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9.5K |
| 1160 | openai/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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9.5K | |
| 1161 | dbs-chatroom-austrian | dontbesilent2025/dbskill |
dbs-chatroom-austrian:奥派经济聊天室 你是奥派经济聊天室的主持人。协调哈耶克、米塞斯、Claude 三个角色的对话。 核心哲学 哈耶克:知识分散性 追问知识条件:决策需要哪些知识?分散在谁手里? 检查涌现可能:秩序是设计的还是自发形成的? 寻找信息机制:有没有类似价格的信号在聚合分散知识? 米塞斯:人类行为学 先验推理:从「人会行动」出发,用逻辑推导经济规律 追问因果链:现象的根本原因是什么? 拒绝妥协:原则对就不能因「现实困难」让步 Claude 判官:质量把关 防止套公式:如果有人硬套理论,直接点出 补盲区:两人都没提到但重要的视角 给收获:用户可以带走的具体判断或行动建议 工作流程 Phase 1:接收问题 skill 启动后,说: 奥派经济聊天室。说个话题,哈耶克、米塞斯和我会一起聊。 如果用户已带问题,直接进入 Phase 2。 Phase 2:并行启动两个角色 收到问题后, 同时 用 Agent tool 启动哈耶克和米塞斯。 哈耶克 Agent description: "哈耶克回应" model: "sonnet" prompt: | 你是弗里德里...
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9.5K |
| 1162 | offers | coreyhaines31/marketingskills |
Offer Design You are an expert in offer construction. Your goal is to help the user build offers that move — not by writing better copy on a worse offer, but by improving the offer itself. Before Starting Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md , or the legacy product-marketing-context.md filename, 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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9.5K |
| 1163 | council | warpdotdev/common-skills |
Council Use this skill to coordinate multiple subagents investigating the same question, with different models first and different assigned perspectives second, then synthesize their reports into one recommendation. This skill is best for judgment-heavy tasks: architecture tradeoffs, risky bug fixes, code review red-teaming, rollout decisions, incident analysis, and “is this alternative worth pursuing?” questions. Workflow 1. Frame the council question State the decision the council should answe...
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9.5K |
| 1164 | spec-driven-development | addyosmani/agent-skills |
Spec-Driven Development Overview Write a structured specification before writing any code. The spec is the shared source of truth between you and the human engineer — it defines what we're building, why, and how we'll know it's done. Code without a spec is guessing. When to Use Starting a new project or feature Requirements are ambiguous or incomplete The change touches multiple files or modules You're about to make an architectural decision The task would take more than 30 minutes to implement ...
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9.5K |
| 1165 | baoyu-imagine | jimliu/baoyu-skills |
Image Generation (AI SDK) Official API-based image generation. Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Z.AI GLM-Image, MiniMax, Jimeng (即梦), Seedream (豆包) and Replicate providers. Script Directory Agent Execution : {baseDir} = this SKILL.md file's directory Script path = {baseDir}/scripts/main.ts Resolve ${BUN_X} runtime: if bun installed → bun ; if npx available → npx -y bun ; else suggest installing bun Step 0: Load Preferences ⛔ BLOCKING CRITICAL : This step MUS...
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9.4K |
| 1166 | flutter-implementing-navigation-and-routing | flutter/skills |
Implementing Navigation and Routing in Flutter Contents Core Concepts Implementing Imperative Navigation Implementing Declarative Navigation Implementing Nested Navigation Workflows Examples Core Concepts Routes: In Flutter, screens and pages are referred to as routes . A route is simply a widget. This is equivalent to an Activity in Android or a ViewController in iOS. Navigator vs. Router: Use Navigator (Imperative) for small applications without complex deep linking requirements. It manages a ...
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9.4K |
| 1167 | mcp-cli | github/awesome-copilot |
MCP-CLI Access MCP servers through the command line. MCP enables interaction with external systems like GitHub, filesystems, databases, and APIs. Commands Command Output mcp-cli List all servers and tool names mcp-cli <server> Show tools with parameters mcp-cli <server>/<tool> Get tool JSON schema mcp-cli <server>/<tool> '<json>' Call tool with arguments mcp-cli grep "<glob>" Search tools by name Add -d to include descriptions (e.g., mcp-cli filesystem -d) Workflow Discover: mcp-cli → see av...
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9.4K |
| 1168 | meeting-minutes | github/awesome-copilot |
Meeting Minutes Skill — Short Internal Meetings Purpose / Overview This Skill produces high-quality, consistent meeting minutes for internal meetings that are 60 minutes or shorter. Output is designed to be clear, actionable, and easy to convert into task trackers (e.g., GitHub Issues, Jira). The generated minutes prioritize decisions and action items so teams can move quickly from discussion to execution. When to Use Use this skill when: Internal syncs, standups, design reviews, triage, plannin...
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9.4K |
| 1169 | appinsights-instrumentation | github/awesome-copilot |
AppInsights Instrumentation Guide This skill provides guidance and reference material for instrumenting webapps with Azure Application Insights. ⛔ ADDING COMPONENTS? If the user wants to add App Insights to their app , invoke azure-prepare instead. This skill provides reference material—azure-prepare orchestrates the actual changes. When to Use This Skill User asks how to instrument (guidance, patterns, examples) User needs SDK setup instructions azure-prepare invokes this skill during research ...
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9.4K |
| 1170 | azure-deployment-preflight | github/awesome-copilot |
Azure Deployment Preflight Validation This skill validates Bicep deployments before execution, supporting both Azure CLI (az) and Azure Developer CLI (azd) workflows. When to Use This Skill Before deploying infrastructure to Azure When preparing or reviewing Bicep files To preview what changes a deployment will make To verify permissions are sufficient for deployment Before running azd up, azd provision, or az deployment commands Validation Process Follow these steps in order. Continue to the...
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9.4K |
| 1171 | plantuml-ascii | github/awesome-copilot |
PlantUML ASCII Art Diagram Generator Overview Create text-based ASCII art diagrams using PlantUML. Perfect for documentation in terminal environments, README files, emails, or any scenario where graphical diagrams aren't suitable. What is PlantUML ASCII Art? PlantUML can generate diagrams as plain text (ASCII art) instead of images. This is useful for: Terminal-based workflows Git commits/PRs without image support Documentation that needs to be version-controlled Environments where graphical...
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9.4K |
| 1172 | csharp-xunit | github/awesome-copilot |
XUnit Best Practices Your goal is to help me write effective unit tests with XUnit, covering both standard and data-driven testing approaches. Project Setup Use a separate test project with naming convention [ProjectName].Tests Reference Microsoft.NET.Test.Sdk, xunit, and xunit.runner.visualstudio packages Create test classes that match the classes being tested (e.g., CalculatorTests for Calculator ) Use .NET SDK test commands: dotnet test for running tests Test Structure No test class attribute...
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9.4K |
| 1173 | angular-component | analogjs/angular-skills |
Angular Component Create standalone components for Angular v20+. Components are standalone by default—do NOT set standalone: true. Component Structure import { Component, ChangeDetectionStrategy, input, output, computed } from '@angular/core'; @Component({ selector: 'app-user-card', changeDetection: ChangeDetectionStrategy.OnPush, host: { 'class': 'user-card', '[class.active]': 'isActive()', '(click)': 'handleClick()', }, template: ` <img [src]="avatarUrl()" [alt]="n...
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9.4K |
| 1174 | python-packaging | wshobson/agents |
Python Packaging Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI. When to Use This Skill Creating Python libraries for distribution Building command-line tools with entry points Publishing packages to PyPI or private repositories Setting up Python project structure Creating installable packages with dependencies Building wheels and source distributions Versioning and releasing Python packages Crea...
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9.4K |
| 1175 | mcp-builder | mcp-use/mcp-use |
MCP Server Development Guide Overview Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks. Process 🚀 High-Level Workflow Creating a high-quality MCP server involves four main phases: Phase 1: Deep Research and Planning 1.1 Understand Modern MCP Design API Coverage vs. Workflow Tools: Balance comprehensive API endpoint coverag...
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9.4K |
| 1176 | powerbi-modeling | github/awesome-copilot |
Power BI Semantic Modeling Guide users in building optimized, well-documented Power BI semantic models following Microsoft best practices. When to Use This Skill Use this skill when users ask about: Creating or optimizing Power BI semantic models Designing star schemas (dimension/fact tables) Writing DAX measures or calculated columns Configuring table relationships (cardinality, cross-filter) Implementing row-level security (RLS) Naming conventions for tables, columns, measures Adding descripti...
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9.4K |
| 1177 | read | tw93/waza |
Read: Fetch Any URL or PDF as Markdown Prefix your first line with 🥷 inline, not as its own paragraph. Convert any URL or local PDF to clean Markdown and save it. No analysis, no summary, no discussion of the content unless explicitly asked. Routing Input Method feishu.cn , larksuite.com Feishu API script mp.weixin.qq.com Proxy cascade first, built-in WeChat article script only if the proxies fail .pdf URL or local PDF path PDF extraction GitHub URLs ( github.com , raw.githubusercontent.com ) Pr...
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9.4K |
| 1178 | hono | yusukebe/hono-skill |
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...
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9.4K |
| 1179 | dbs-agent-migration | dontbesilent2025/dbskill |
dbs-agent-migration:Agent 工作台迁移 你是 dontbesilent 的 Agent 工作台迁移工具。你的任务不是直接“帮用户改几个文件”,而是把一个项目从混乱、半迁移、不可维护的状态,整理成一套可长期维护的 Agent 工作台。 这不是安装教程。也不是脚本执行器。 你做的是一套带审计、收编、命名、桥接和验证的迁移流程。 核心目标:让用户的 Agent 配置从“能凑合用”变成“结构清楚、真源明确、Claude / Codex 双端一致”。 一句话定义 dbs-agent-migration 解决的是 Agent 工作台的结构迁移 ,不是单一平台迁移。 它支持: Claude Code → Codex Codex → Claude Code Claude + Codex 双端统一 混乱项目 → 标准 Agent 工作台 它不负责: 商业诊断本身 知识库内容优化 单个 skill 方法论质量评审 业务文案创作 什么时候用 当用户出现这些信号时,路由到这里: 想把 Claude Code 项目迁到 Codex 想把 Codex 项目补回 Claude Code 想同...
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9.4K |
| 1180 | kotlin-springboot | github/awesome-copilot |
Spring Boot with Kotlin Best Practices Your goal is to help me write high-quality, idiomatic Spring Boot applications using Kotlin. Project Setup & Structure Build Tool: Use Maven ( pom.xml ) or Gradle ( build.gradle ) with the Kotlin plugins ( kotlin-maven-plugin or org.jetbrains.kotlin.jvm ). Kotlin Plugins: For JPA, enable the kotlin-jpa plugin to automatically make entity classes open without boilerplate. Starters: Use Spring Boot starters (e.g., spring-boot-starter-web , spring-boot-starter...
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9.4K |
| 1181 | frontend-ui-engineering | addyosmani/agent-skills |
Frontend UI Engineering Overview Build production-quality user interfaces that are accessible, performant, and visually polished. The goal is UI that looks like it was built by a design-aware engineer at a top company — not like it was generated by an AI. This means real design system adherence, proper accessibility, thoughtful interaction patterns, and no generic "AI aesthetic." When to Use Building new UI components or pages Modifying existing user-facing interfaces Implementing responsive lay...
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9.4K |
| 1182 | animation-vocabulary | emilkowalski/skills |
Animation Vocabulary Turn a vague description of a motion or effect into the precise term, so the user knows what to ask for. Quick Start The user describes an effect loosely. You return the matching term(s) in this format: Stagger — Animate several items one after another with a small delay between each, creating a cascade. If several terms could fit, list the best match first, then 1–2 alternates with a one-line note on how they differ. Instructions Show more Installs 605 Repository emilkowals...
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| 1183 | context-map | github/awesome-copilot |
Context Map Before implementing any changes, analyze the codebase and create a context map. Task {{task_description}} Instructions Search the codebase for files related to this task Identify direct dependencies (imports/exports) Find related tests Look for similar patterns in existing code Output Format Context Map Files to Modify | File | Purpose | Changes Needed | | ------ | --------- | ---------------- | | path/to/file | description | what changes | Dependencies (may need updates) | File |...
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9.3K |
| 1184 | devops-rollout-plan | github/awesome-copilot |
DevOps Rollout Plan Generator Your goal is to create a comprehensive, production-ready rollout plan for infrastructure or application changes. Input Requirements Gather these details before generating the plan: Change Description What's changing (infrastructure, application, configuration) Version or state transition (from/to) Problem solved or feature added Environment Details Target environment (dev, staging, production, all) Infrastructure type (Kubernetes, VMs, serverless, containers) Affect...
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9.3K |
| 1185 | image-manipulation-image-magick | github/awesome-copilot |
Image Manipulation with ImageMagick This skill enables image processing and manipulation tasks using ImageMagick across Windows, Linux, and macOS systems. When to Use This Skill Use this skill when you need to: Resize images (single or batch) Get image dimensions and metadata Convert between image formats Create thumbnails Process wallpapers for different screen sizes Batch process multiple images with specific criteria Prerequisites ImageMagick installed on the system Windows: PowerShell wi...
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9.3K |
| 1186 | write-coding-standards-from-file | github/awesome-copilot |
Write Coding Standards From File Use the existing syntax of the file(s) to establish the standards and style guides for the project. If more than one file or a folder is passed, loop through each file or files in the folder, appending the file's data to temporary memory or a file, then when complete use temporary data as a single instance; as if it were the file name to base the standards and style guideline on. Rules and Configuration Below is a set of quasi-configuration boolean and string[] v...
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9.3K |
| 1187 | boost-prompt | github/awesome-copilot |
You are an AI assistant designed to help users create high-quality, detailed task prompts. DO NOT WRITE ANY CODE. Your goal is to iteratively refine the user’s prompt by: Understanding the task scope and objectives At all times when you need clarification on details, ask specific questions to the user using the joyride_request_human_input tool. Defining expected deliverables and success criteria Perform project explorations, using available tools, to further your understanding of the task Clarif...
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9.3K |
| 1188 | azure-role-selector | github/awesome-copilot |
Use 'Azure MCP/documentation' tool to find the minimal role definition that matches the desired permissions the user wants to assign to an identity (If no built-in role matches the desired permissions, use 'Azure MCP/extension_cli_generate' tool to create a custom role definition with the desired permissions). Use 'Azure MCP/extension_cli_generate' tool to generate the CLI commands needed to assign that role to the identity and use the 'Azure MCP/bicepschema' and the 'Azure MCP/get_bestpractices...
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9.3K |
| 1189 | agent-governance | github/awesome-copilot |
Agent Governance Patterns Patterns for adding safety, trust, and policy enforcement to AI agent systems. Overview Governance patterns ensure AI agents operate within defined boundaries — controlling which tools they can call, what content they can process, how much they can do, and maintaining accountability through audit trails. User Request → Intent Classification → Policy Check → Tool Execution → Audit Log ↓ ↓ ↓ Threat Detection Allow/Deny Trust...
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9.3K |
| 1190 | tavily-crawl | tavily-ai/skills |
tavily crawl Crawl a website and extract content from multiple pages. Supports saving each page as a local markdown file. Prerequisites Requires the Tavily CLI. See tavily-cli for install and auth setup. Quick install: curl -fsSL https://cli.tavily.com/install.sh | bash && tvly login When to use You need content from many pages on a site (e.g., all /docs/ ) You want to download documentation for offline use Step 4 in the workflow : search → extract → map → crawl → research Quick start Basic cra...
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| 1191 | python-anti-patterns | wshobson/agents |
Python Anti-Patterns Checklist A reference checklist of common mistakes and anti-patterns in Python code. Review this before finalizing implementations to catch issues early. When to Use This Skill Reviewing code before merge Debugging mysterious issues Teaching or learning Python best practices Establishing team coding standards Refactoring legacy code Note: This skill focuses on what to avoid. For guidance on positive patterns and architecture, see the python-design-patterns skill. Infrastruct...
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9.3K |
| 1192 | check-impl-against-spec | warpdotdev/common-skills |
Check implementation against spec Use this skill only when spec_context.md exists during PR review. Goal Determine whether the implementation in the checked-out PR materially matches the approved spec context. This is a supplement to the normal code review, not a separate output. Inputs spec_context.md contains the spec context to compare against. It may include both product spec content (intended behavior, acceptance criteria) and tech spec content (implementation details, file changes). pr_dif...
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| 1193 | planning-and-task-breakdown | addyosmani/agent-skills |
Planning and Task Breakdown Overview Decompose work into small, verifiable tasks with explicit acceptance criteria. Good task breakdown is the difference between an agent that completes work reliably and one that produces a tangled mess. Every task should be small enough to implement, test, and verify in a single focused session. When to Use You have a spec and need to break it into implementable units A task feels too large or vague to start Work needs to be parallelized across multiple agents ...
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| 1194 | git-flow-branch-creator | github/awesome-copilot |
Instructions < instructions > < title > Git Flow Branch Creator </ title > < description > This prompt analyzes your current git changes using git status and git diff (or git diff --cached), then intelligently determines the appropriate branch type according to the Git Flow branching model and creates a semantic branch name. </ description > < note > Just run this prompt and Copilot will analyze your changes and create the appropriate Git Flow branch for you. </ note > </ instructions > Workflow...
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| 1195 | copilot-sdk | github/awesome-copilot |
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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9.2K |
| 1196 | readme-blueprint-generator | github/awesome-copilot |
README Generator Prompt Generate a comprehensive README.md for this repository by analyzing the documentation files in the .github/copilot directory and the copilot-instructions.md file. Follow these steps: Scan all the files in the .github/copilot folder, like: Architecture Code_Exemplars Coding_Standards Project_Folder_Structure Technology_Stack Unit_Tests Workflow_Analysis Also review the copilot-instructions.md file in the .github folder Create a README.md with the following sections: Projec...
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9.2K |
| 1197 | create-spring-boot-java-project | github/awesome-copilot |
Create Spring Boot Java project prompt Please make sure you have the following software installed on your system: Java 21 Docker Docker Compose If you need to custom the project name, please change the artifactId and the packageName in download-spring-boot-project-template If you need to update the Spring Boot version, please change the bootVersion in download-spring-boot-project-template Check Java version Run following command in terminal and check the version of Java java -version Download Sp...
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| 1198 | data-visualization | anthropics/knowledge-work-plugins |
Data Visualization Skill Chart selection guidance, Python visualization code patterns, design principles, and accessibility considerations for creating effective data visualizations. Chart Selection Guide Choose by Data Relationship What You're Showing Best Chart Alternatives Trend over time Line chart Area chart (if showing cumulative or composition) Comparison across categories Vertical bar chart Horizontal bar (many categories), lollipop chart Ranking Horizontal bar chart Dot plot, slope char...
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9.2K |
| 1199 | reproduce-bug-report | warpdotdev/common-skills |
Reproduce bug report Use this skill when the current context is a GitHub issue, support report, Linear ticket, or user prompt describing a specific bug that may be reproduced through visible application behavior. It is primarily for UI, rendering, windowing, settings, editor, terminal-display, onboarding, or other interactive bugs where screenshots or recordings make the result more actionable. The parent agent should not try to manually reproduce the UI bug locally unless the user explicitly as...
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9.2K |
| 1200 | ai-paper-reproduction | lllllllama/ai-paper-reproduction-skill |
ai-paper-reproduction Use when The user wants the agent to reproduce an AI paper repository. The target is a code repository with a README, scripts, configs, or documented commands. The goal is a minimal trustworthy run, not unlimited experimentation. The user needs standardized outputs that another human or model can audit quickly. The task spans more than one stage, such as intake plus setup, or setup plus execution plus reporting. Do not use when The task is a general literature review or pap...
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9.1K |