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# Skill 仓库 描述 安装量
1101 langchain-architecture wshobson/agents
LangChain & LangGraph Architecture Master modern LangChain 1.x and LangGraph for building sophisticated LLM applications with agents, state management, memory, and tool integration. When to Use This Skill Building autonomous AI agents with tool access Implementing complex multi-step LLM workflows Managing conversation memory and state Integrating LLMs with external data sources and APIs Creating modular, reusable LLM application components Implementing document processing pipelines Building prod...
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1102 debugging-strategies wshobson/agents
Debugging Strategies Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches. When to Use This Skill Tracking down elusive bugs Investigating performance issues Understanding unfamiliar codebases Debugging production issues Analyzing crash dumps and stack traces Profiling application performance Investigating memory leaks Debugging distributed systems Core Principles 1. The Scientific Method 1. Observe : Wha...
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1103 web-quality-audit addyosmani/web-quality-skills
Web quality audit Comprehensive quality review based on Google Lighthouse audits. Covers Performance, Accessibility, SEO, and Best Practices across 150+ checks. How it works Analyze the provided code/project for quality issues Categorize findings by severity (Critical, High, Medium, Low) Provide specific, actionable recommendations Include code examples for fixes Audit categories Performance (40% of typical issues) Core Web Vitals — Must pass for good page experience: LCP (Largest Contentful...
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1104 scoutqa-test github/awesome-copilot
Perform AI-powered exploratory testing on web applications using the `scoutqa` CLI. Think of ScoutQA as an intelligent testing partner that can autonomously explore, discover issues, and verify features. Delegate testing to multiple parallel ScoutQA executions to maximize coverage while saving time. When to Use This Skill Use this skill in two scenarios: - User requests testing - When the user explicitly asks to test a website or verify functionality - Proactive verification - After implem...
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1105 last30days mvanhorn/last30days-skill
last30days v2.9.5: Research Any Topic from the Last 30 Days Permissions overview: Reads public web/platform data and optionally saves research briefings to ~/Documents/Last30Days/ . X/Twitter search uses optional user-provided tokens (AUTH_TOKEN/CT0 env vars). Bluesky search uses optional app password (BSKY_HANDLE/BSKY_APP_PASSWORD env vars - create at bsky.app/settings/app-passwords). Truth Social search uses optional bearer token (TRUTHSOCIAL_TOKEN env var - extract from browser dev tools). Al...
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1106 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...
 9.1K
1107 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...
 9.1K
1108 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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1109 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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1110 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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1111 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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1112 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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1113 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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1114 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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1115 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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1116 golang-patterns affaan-m/everything-claude-code
Go Development Patterns Idiomatic Go patterns and best practices for building robust, efficient, and maintainable applications. When to Activate Writing new Go code Reviewing Go code Refactoring existing Go code Designing Go packages/modules Core Principles 1. Simplicity and Clarity Go favors simplicity over cleverness. Code should be obvious and easy to read. // Good: Clear and direct func GetUser(id string) (*User, error) { user, err := db.FindUser(id) if err != nil { retur...
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1117 langgraph-fundamentals langchain-ai/langchain-skills
StateGraph : Main class for building stateful graphs Nodes : Functions that perform work and update state Edges : Define execution order (static or conditional) START/END : Special nodes marking entry and exit points State with Reducers : Control how state updates are merged Graphs must be compile() d before execution. Designing a LangGraph application Follow these 5 steps when building a new graph: Map out discrete steps — sketch a flowchart of your workflow. Each step becomes a node. Identify ...
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1118 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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1119 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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1120 dbs-content dontbesilent2025/dbskill
dbs-content：内容创作诊断 你是 dontbesilent 的内容创作诊断 AI。你的任务是帮用户把一个已经确认的选题，变成一个好内容。 你不帮人写内容。你帮人诊断内容该怎么做。 写是用户自己的事，你负责告诉他方向对不对、形式对不对、表达对不对。 前提：用户应该已经有一个明确的选题。 如果没有，先帮他理清楚想做什么内容。 核心哲学 原则 1：文字洁癖是底线 AI 写的内容被限流不是 AI 的问题，是用 AI 的人对文字没有洁癖。关心自己的文案有没有 AI 味的人很多，关心自己的文案好不好的人很少。英雄不问出处——内容好不好和是不是 AI 写的无关。 原则 2：自媒体的本质是精神控制 当我们滑动屏幕时，不仅是我们在选择内容，也是内容在塑造我们大脑的神经结构，重写我们的认知模式。封面和标题的本质是认知劫持——特定文字排列组合会触发特定神经机制。 原则 3：内容好坏 = 投入精力 × 对内容有正确理解 投入精力 ≠ 内容好。越是新手，越应该推高成本做内容，否则就会进入「内容差 → 没流量 → 以量取胜 → 内容更差」的死亡螺旋。 原则 4：先有产品后有内容 做内容之前，要确保你有产...
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1121 agent-browser inferen-sh/skills
Browser Automation with agent-browser The CLI uses Chrome/Chromium via CDP directly. Install via npm i -g agent-browser , brew install agent-browser , or cargo install agent-browser . Run agent-browser install to download Chrome. Core Workflow Every browser automation follows this pattern: Navigate : agent-browser open <url> Snapshot : agent-browser snapshot -i (get element refs like @e1 , @e2 ) Interact : Use refs to click, fill, select Re-snapshot : After navigation or DOM changes, get fresh r...
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1122 python-executor inferen-sh/skills
Python Code Executor Execute Python code in a safe, sandboxed environment with 100+ pre-installed libraries. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login Run Python code belt app run infsh/python-executor --input '{ "code": "import pandas as pd\nprint(pd.__version__)" }' App Details Property Value App ID infsh/python-executor Environment Python 3.10, CPU-only RAM 8GB (default) / 16GB (high_memory) Timeout 1-300 seconds (default: 30) Input Schema { "code" : "pr...
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1123 flutter-testing-apps flutter/skills
Testing Flutter Applications Contents Core Testing Strategies Architectural Testing Guidelines Plugin Testing Guidelines Workflows Examples Core Testing Strategies Balance your testing suite across three main categories to optimize for confidence, maintenance cost, dependencies, and execution speed. Unit Tests Use unit tests to verify the correctness of a single function, method, or class under various conditions. Mock all external dependencies. Do not involve disk I/O, screen rendering, or user...
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1124 create-github-pull-request-from-specification github/awesome-copilot
Create GitHub Pull Request from Specification Create GitHub Pull Request for the specification at ${workspaceFolder}/.github/pull_request_template.md . Process Analyze specification file template from '${workspaceFolder}/.github/pull_request_template.md' to extract requirements by 'search' tool. Create pull request draft template by using 'create_pull_request' tool on to ${input:targetBranch} . and make sure don't have any pull request of current branch was exist get_pull_request . If has contin...
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1125 chatgpt-app-builder mcp-use/mcp-use
ChatGPT App Builder Build ChatGPT apps with interactive widgets using mcp-use. Zero-config widget development with automatic registration and built-in React hooks. The app is consumed by two users at once : the human and the ChatGPT LLM . They collaborate through the widget -- the human interacts with it, the LLM sees its state. The widget is your shared surface. Before You Code Clarify what to build → discover.md : when starting a new app, validating an idea, or scoping features Design tools an...
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1126 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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1127 project-workflow-analysis-blueprint-generator github/awesome-copilot
Project Workflow Documentation Generator Configuration Variables ${PROJECT_TYPE="Auto-detect|.NET|Java|Spring|Node.js|Python|React|Angular|Microservices|Other"} <!-- Primary technology stack --> ${ENTRY_POINT="API|GraphQL|Frontend|CLI|Message Consumer|Scheduled Job|Custom"} <!-- Starting point for the flow --> ${PERSISTENCE_TYPE="Auto-detect|SQL Database|NoSQL Database|File System|External API|Message Queue|Cache|None"} <!-- Data storage type --> ${ARCHITECTURE_PATTERN="Auto-detect|Layered|Clean...
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1128 microservices-patterns wshobson/agents
Microservices Patterns Master microservices architecture patterns including service boundaries, inter-service communication, data management, and resilience patterns for building distributed systems. When to Use This Skill Decomposing monoliths into microservices Designing service boundaries and contracts Implementing inter-service communication Managing distributed data and transactions Building resilient distributed systems Implementing service discovery and load balancing Designing event-driv...
 9K
1129 frontend-design anthropics/claude-plugins-official
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices. The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints. Design Thinking Before coding, understand the context and commit to a BOLD aesthetic direction: Purpose :...
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1130 plugin structure anthropics/claude-code
Plugin Structure for Claude Code Overview Claude Code plugins follow a standardized directory structure with automatic component discovery. Understanding this structure enables creating well-organized, maintainable plugins that integrate seamlessly with Claude Code. Key concepts: Conventional directory layout for automatic discovery Manifest-driven configuration in .claude-plugin/plugin.json Component-based organization (commands, agents, skills, hooks) Portable path references using ${CLAUDE_PL...
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1131 dbs-diagnosis dontbesilent2025/dbskill
dbs-diagnosis：商业模式诊断 你是 dontbesilent 的商业诊断 AI。 你的核心工作不是回答问题，是消解问题。 8000+ 人付费问过商业问题，其中只有 0.9% 真正被解答了，99.1% 是被消解掉的——因为问题本身是错的。 核心哲学（非谈判项） 公理 1：商业模式是独立于人的客观存在 商业模式是一台有固定 input 要求的机器，人只是喂料员。财富几乎是一个只关乎于商业模式的产物。要对「大佬」祛魅，但要对商业模式保持敬畏。 公理 2：商业模式决定人的道德 好的商业模式逼你做好人，坏的商业模式逼你做恶人。道德是商业模式的副产品。不要在坏的商业模式里做好人，要换商业模式。 公理 3：智力不直接变现，商业模式才变现 智商决定收入上限，商业模式决定收入下限。赚钱只需要执行力 + 商业模式，认知不是必要条件。 公理 4：流量不等于收入 只要商业模式好，赚多少钱和粉丝量没有关系。99% 的情况下，流量越大越不赚钱。 公理 5：定价即产品 定价本身就是产品设计。引流款和利润款的价格差最好是 10 倍（5-15 倍区间），否则不是两个产品。 公理 6：99% 的创业问题是心理...
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1132 dbs-benchmark dontbesilent2025/dbskill
dbs-benchmark：对标分析 你是 dontbesilent 的对标分析 AI。你的任务是帮用户找到值得模仿的对标，用五重过滤法排除一切干扰。 核心信念：模仿不是方法，是信仰。 大部分人不是不会模仿，是不愿意模仿。他们用「做自己」来回避模仿的难度。 核心哲学 信条 1：排除自我是决策加速器 讨论现有资源、个人经历、兴趣偏好，本质是在为不行动找借口。有效的对标筛选只问一个问题：这个业务我能不能干？能干就执行，不能干就换下一个。所有关于「我」的讨论都是决策噪音。 信条 2：0 到 1 阶段，模仿是正确答案 在从 0 到 1 这个阶段，模仿别人、同质化竞争是一个成功的方法。大部分「做自己」的人都不敢挑战模仿别人的难度，只愿意自由自在地做自己。差异化是后话，先活下来。 信条 3：模仿的颗粒度决定模仿的质量 如果你看到对方抖音直播间的女主播的袜子上面出现了 3 个线头，而你们女主播的袜子上只有 2 个线头，你就没有模仿对标。会对标和不会对标的人的区别就是，前者打心底相信「和对标保持一致」这句话是真理。 信条 4：高利润是唯一标准 做生意要不要找高毛利/高复购/高壁垒/高增长/高流量/高科...
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1133 auth-implementation-patterns wshobson/agents
Authentication & Authorization Implementation Patterns Build secure, scalable authentication and authorization systems using industry-standard patterns and modern best practices. When to Use This Skill Implementing user authentication systems Securing REST or GraphQL APIs Adding OAuth2/social login Implementing role-based access control (RBAC) Designing session management Migrating authentication systems Debugging auth issues Implementing SSO or multi-tenancy Core Concepts 1. Authentication vs A...
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1134 dbs-deconstruct dontbesilent2025/dbskill
dbs-deconstruct：概念拆解 你是 dontbesilent 的概念拆解 AI。你的任务是把用户丢过来的模糊商业概念，用维特根斯坦的语言哲学和奥派经济学的方法论，拆到原子级别——直到每一个词都有明确的含义。 核心使命：反对语言对理智的蛊惑。 维特根斯坦说，哲学是一场反对语言对我们的理智的蛊惑的斗争。商业领域充满了被语言蛊惑的伪概念。你的工作是解蛊。 核心哲学 原则 1：语言的界限即世界的界限 如果你说不清楚一件事，你就不理解这件事。说清楚的能力是 AI 时代最大的杠杆。 如果你会做一件事但说不清楚 → 你只能自己做 如果你说不太清但别人能理解 → 你能雇人做（传统杠杆） 如果你能把隐性变成显性、形成规则 → 你能让 AI 做（现代杠杆） 原则 2：意义即使用 理解一个词不是理解它的"定义"，而是理解它在各种场景中的使用方式。当一个商业概念在不同人嘴里意味着不同的事情，这个概念就是有问题的。 原则 3：7 张表构建本体论 用《逻辑哲学论》的结构化方法重组商业概念： 对象表 — 列出基本对象（不可再分的元素） 事态表 — 列出原子事态（最小的事实单元） 复合事态表 — 列出复合...
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1135 chat-ui inferen-sh/skills
Chat UI Components Chat building blocks from ui.inference.sh . Quick Start Install chat components npx shadcn@latest add https://ui.inference.sh/r/chat.json Components Chat Container import { ChatContainer } from "@/registry/blocks/chat/chat-container" < ChatContainer > { /* messages go here */ } </ ChatContainer > Messages import { ChatMessage } from "@/registry/blocks/chat/chat-message" < ChatMessage role = " user " content = " Hello, how can you help me? " /> < ChatMessage role = " assistant...
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1136 python-sdk inferen-sh/skills
Python SDK Build AI applications with the inference.sh Python SDK. Quick Start pip install inferencesh from inferencesh import inference client = inference ( api_key = "inf_your_key" ) Run an AI app result = client . run ( { "app" : "infsh/flux-1-dev" , "input" : { "prompt" : "A sunset over mountains" } } ) print ( result [ "output" ] ) Installation Standard installation pip install inferencesh With async support pip install inferencesh [ async ] Requirements: Python 3.8+ Authentication impor...
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1137 javascript-sdk inferen-sh/skills
JavaScript SDK Build AI applications with the inference.sh JavaScript/TypeScript SDK. Quick Start npm install @inferencesh/sdk import { inference } from '@inferencesh/sdk' ; const client = inference ( { apiKey : 'inf_your_key' } ) ; // Run an AI app const result = await client . run ( { app : 'infsh/flux-schnell' , input : { prompt : 'A sunset over mountains' } } ) ; console . log ( result . output ) ; Installation npm install @inferencesh/sdk or yarn add @inferencesh/sdk or pnpm add @inferenc...
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1138 widgets-ui inferen-sh/skills
Widget Renderer Declarative UI from JSON via ui.inference.sh . Quick Start npx shadcn@latest add https://ui.inference.sh/r/widgets.json Basic Usage import { WidgetRenderer } from "@/registry/blocks/widgets/widget-renderer" import type { Widget , WidgetAction } from "@/registry/blocks/widgets/types" const widget : Widget = { type : 'ui' , title : 'My Widget' , children : [ { type : 'text' , value : 'Hello World' } , { type : 'button' , label : 'Click me' , onClickAction : { type : 'click' } } , ]...
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1139 agent-ui inferen-sh/skills
Agent Component Batteries-included agent component from ui.inference.sh . Quick Start Install the agent component npx shadcn@latest add https://ui.inference.sh/r/agent.json Add the SDK for the proxy route npm install @inferencesh/sdk Setup 1. API Proxy Route (Next.js) // app/api/inference/proxy/route.ts import { route } from '@inferencesh/sdk/proxy/nextjs' ; export const { GET , POST , PUT } = route ; 2. Environment Variable .env.local INFERENCE_API_KEY = inf_ .. . 3. Use the Component import...
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1140 tools-ui inferen-sh/skills
Tool UI Components Tool lifecycle components from ui.inference.sh . Quick Start npx shadcn@latest add https://ui.inference.sh/r/tools.json Tool States State Description pending Tool call requested, waiting to execute running Tool is currently executing approval Requires human approval before execution success Tool completed successfully error Tool execution failed Components Tool Call Display import { ToolCall } from "@/registry/blocks/tools/tool-call" < ToolCall name = " search_web " args = { {...
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1141 flue sfkislev/flue
Purpose Flue is a local automation layer for coding agents that need to operate real desktop software such as Photoshop, Premiere, Blender, Unity, Houdini, Illustrator, InDesign, Excel, PowerPoint, Word, and 3ds Max. Flue is not an MCP server. It is simpler. It is a Python package that exposes small shell-facing bridge commands. Those bridges execute code inside the target application's scripting runtime and return structured JSON back to the agent. agent shell -> Flue bridge -> app scripting ru...
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1142 make-skill-template github/awesome-copilot
Make Skill Template A meta-skill for creating new Agent Skills. Use this skill when you need to scaffold a new skill folder, generate a SKILL.md file, or help users understand the Agent Skills specification. When to Use This Skill User asks to "create a skill", "make a new skill", or "scaffold a skill" User wants to add a specialized capability to their GitHub Copilot setup User needs help structuring a skill with bundled resources User wants to duplicate this template as a starting point Prer...
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1143 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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1144 csharp-docs github/awesome-copilot
C Documentation Best Practices Public members should be documented with XML comments. It is encouraged to document internal members as well, especially if they are complex or not self-explanatory. Guidance for all APIs Use <summary> to provide a brief, one sentence, description of what the type or member does. Start the summary with a present-tense, third-person verb. Use <remarks> for additional information, which can include implementation details, usage notes, or any other relevant context. U...
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1145 dataverse-python-advanced-patterns github/awesome-copilot
You are a Dataverse SDK for Python expert. Generate production-ready Python code that demonstrates: Error handling & retry logic — Catch DataverseError, check is_transient, implement exponential backoff. Batch operations — Bulk create/update/delete with proper error recovery. OData query optimization — Filter, select, orderby, expand, and paging with correct logical names. Table metadata — Create/inspect/delete custom tables with proper column type definitions (IntEnum for option sets). Configur...
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1146 breakdown-plan github/awesome-copilot
GitHub Issue Planning & Project Automation Prompt Goal Act as a senior Project Manager and DevOps specialist with expertise in Agile methodology and GitHub project management. Your task is to take the complete set of feature artifacts (PRD, UX design, technical breakdown, testing plan) and generate a comprehensive GitHub project plan with automated issue creation, dependency linking, priority assignment, and Kanban-style tracking. GitHub Project Management Best Practices Agile Work Item Hierarch...
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1147 dotnet-upgrade github/awesome-copilot
Project Discovery & Assessment name: "Project Classification Analysis" prompt: "Identify all projects in the solution and classify them by type ( .NET Framework , .NET Core , .NET Standard ). Analyze each .csproj for its current TargetFramework and SDK usage." name: "Dependency Compatibility Review" prompt: "Review external and internal dependencies for framework compatibility. Determine the upgrade complexity based on dependency graph depth." name: "Legacy Package Detection" prompt: "Identify l...
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1148 remember github/awesome-copilot
Memory Keeper You are an expert prompt engineer and keeper of domain-organized Memory Instructions that persist across VS Code contexts. You maintain a self-organizing knowledge base that automatically categorizes learnings by domain and creates new memory files as needed. Scopes Memory instructions can be stored in two scopes: Global ( global or user ) - Stored in <global-prompts> ( vscode-userdata:/User/prompts/ ) and apply to all VS Code projects Workspace ( workspace or ws ) - Stored in <wor...
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1149 web-component-design wshobson/agents
Web Component Design Build reusable, maintainable UI components using modern frameworks with clean composition patterns and styling approaches. When to Use This Skill Designing reusable component libraries or design systems Implementing complex component composition patterns Choosing and applying CSS-in-JS solutions Building accessible, responsive UI components Creating consistent component APIs across a codebase Refactoring legacy components into modern patterns Implementing compound components...
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1150 ef-core github/awesome-copilot
Entity Framework Core Best Practices Your goal is to help me follow best practices when working with Entity Framework Core. Data Context Design Keep DbContext classes focused and cohesive Use constructor injection for configuration options Override OnModelCreating for fluent API configuration Separate entity configurations using IEntityTypeConfiguration Consider using DbContextFactory pattern for console apps or tests Entity Design Use meaningful primary keys (consider natural vs surrogate keys)...
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