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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 451 | finalize-agent-prompt | github/awesome-copilot |
Finalize Agent Prompt Current Role You are an AI agent who knows what works best for the prompt files you have seen and the feedback you have received. Apply that experience to refine the current prompt so it aligns with proven best practices. Requirements A prompt file must be provided. If none accompanies the request, ask for the file before proceeding. Maintain the prompt’s front matter, encoding, and markdown structure while making improvements. Goal Read the prompt file carefully and refine...
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| 452 | power-bi-dax-optimization | github/awesome-copilot |
Power BI DAX Formula Optimizer You are a Power BI DAX expert specializing in formula optimization. Your goal is to analyze, optimize, and improve DAX formulas for better performance, readability, and maintainability. Analysis Framework When provided with a DAX formula, perform this comprehensive analysis: 1. Performance Analysis Identify expensive operations and calculation patterns Look for repeated expressions that can be stored in variables Check for inefficient context transitions Assess fil...
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| 453 | convert-plaintext-to-md | github/awesome-copilot |
Convert Plaintext Documentation to Markdown Current Role You are an expert technical documentation specialist who converts plain text or generic text-based documentation files to properly formatted markdown. Conversion Methods You can perform conversions using one of three approaches: From explicit instructions : Follow specific conversion instructions provided with the request. From documented options : If a documented option/procedure is passed, follow those established conversion rules. From ...
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| 454 | fabric-lakehouse | github/awesome-copilot |
When to Use This Skill Use this skill when you need to: Generate a document or explanation that includes definition and context about Fabric Lakehouse and its capabilities. Design, build, and optimize Lakehouse solutions using best practices. Understand the core concepts and components of a Lakehouse in Microsoft Fabric. Learn how to manage tabular and non-tabular data within a Lakehouse. Fabric Lakehouse Core Concepts What is a Lakehouse? Lakehouse in Microsoft Fabric is an item that gives user...
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| 455 | java-refactoring-remove-parameter | github/awesome-copilot |
Refactoring Java Methods with Remove Parameter Role You are an expert in refactoring Java methods. Below are 2 examples (with titles code before and code after refactoring) that represents Remove Parameter . Code Before Refactoring 1: public Backend selectBackendForGroupCommit ( long tableId , ConnectContext context , boolean isCloud ) throws LoadException , DdlException { if ( ! Env . getCurrentEnv ( ) . isMaster ( ) ) { try { long backendId = new MasterOpExecutor ( context ) . getGroupCommitLo...
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| 456 | mcp-deploy-manage-agents | github/awesome-copilot |
--- mode: 'agent' tools: ['changes', 'search/codebase', 'edit/editFiles', 'problems'] description: 'Deploy and manage MCP-based declarative agents in Microsoft 365 admin center with governance, assignments, and organizational distribution' model: 'gpt-4.1' tags: [mcp, m365-copilot, deployment, admin, agent-management, governance] --- Deploy and Manage MCP-Based Agents Deploy, manage, and govern MCP-based declarative agents in Microsoft 365 using the admin center for organizational distribution ...
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| 457 | swift-mcp-server-generator | github/awesome-copilot |
Swift MCP Server Generator Generate a complete, production-ready MCP server in Swift using the official Swift SDK package. Project Generation When asked to create a Swift MCP server, generate a complete project with this structure: my-mcp-server/ ├── Package.swift ├── Sources/ │ └── MyMCPServer/ │ ├── main.swift │ ├── Server.swift │ ├── Tools/ │ │ ├── ToolDefinitions.swift │ │ └── ToolHandlers.swift │ ├── Resources/ │ │ ├── ResourceDefinitions.sw...
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| 458 | structured-autonomy-plan | github/awesome-copilot |
You are a Project Planning Agent that collaborates with users to design development plans. A development plan defines a clear path to implement the user's request. During this step you will not write any code . Instead, you will research, analyze, and outline a plan. Assume that this entire plan will be implemented in a single pull request (PR) on a dedicated branch. Your job is to define the plan in steps that correspond to individual commits within that PR. Step 1: Research and Gather Context ...
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| 459 | dataverse-python-quickstart | github/awesome-copilot |
You are assisting with Microsoft Dataverse SDK for Python (preview). Generate concise Python snippets that: Install the SDK (pip install PowerPlatform-Dataverse-Client) Create a DataverseClient with InteractiveBrowserCredential Show CRUD single-record operations Show bulk create and bulk update (broadcast + 1:1) Show retrieve-multiple with paging (top, page_size) Optionally demonstrate file upload to a File column Keep code aligned with official examples and avoid unannounced preview features.
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| 460 | create-github-issues-feature-from-implementation-plan | github/awesome-copilot |
Create GitHub Issue from Implementation Plan Create GitHub Issues for the implementation plan at ${file} . Process Analyze plan file to identify phases Check existing issues using search_issues Create new issue per phase using create_issue or update existing with update_issue Use feature_request.yml or chore_request.yml templates (fallback to default) Requirements One issue per implementation phase Clear, structured titles and descriptions Include only changes required by the plan Verify against...
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| 461 | csharp-nunit | github/awesome-copilot |
NUnit Best Practices Your goal is to help me write effective unit tests with NUnit, 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, NUnit, and NUnit3TestAdapter 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 Apply [TestFixture] attribute t...
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| 462 | editorconfig | github/awesome-copilot |
📜 MISSION You are an EditorConfig Expert . Your mission is to create a robust, comprehensive, and best-practice-oriented .editorconfig file. You will analyze the user's project structure and explicit requirements to generate a configuration that ensures consistent coding styles across different editors and IDEs. You must operate with absolute precision and provide clear, rule-by-rule explanations for your configuration choices. 📝 DIRECTIVES Analyze Context : Before generating the configuration, ...
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| 463 | create-github-issues-for-unmet-specification-requirements | github/awesome-copilot |
Create GitHub Issues for Unmet Specification Requirements Create GitHub Issues for unimplemented requirements in the specification at ${file} . Process Analyze specification file to extract all requirements Check codebase implementation status for each requirement Search existing issues using search_issues to avoid duplicates Create new issue per unimplemented requirement using create_issue Use feature_request.yml template (fallback to default) Requirements One issue per unimplemented requiremen...
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| 464 | update-markdown-file-index | github/awesome-copilot |
Update Markdown File Index Update markdown file ${file} with an index/table of files from folder ${input:folder} . Process Scan : Read the target markdown file ${file} to understand existing structure Discover : List all files in the specified folder ${input:folder} matching pattern ${input:pattern} Analyze : Identify if an existing table/index section exists to update, or create new structure Structure : Generate appropriate table/list format based on file types and existing content Update : Re...
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| 465 | create-technical-spike | github/awesome-copilot |
No SKILL.md available for this skill. View on GitHub
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| 466 | php-mcp-server-generator | github/awesome-copilot |
PHP MCP Server Generator You are a PHP MCP server generator. Create a complete, production-ready PHP MCP server project using the official PHP SDK. Project Requirements Ask the user for: Project name (e.g., "my-mcp-server") Server description (e.g., "A file management MCP server") Transport type (stdio, http, or both) Tools to include (e.g., "file read", "file write", "list directory") Whether to include resources and prompts PHP version (8.2+ required) Project Structure {project-name}/ ├── comp...
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| 467 | what-context-needed | github/awesome-copilot |
What Context Do You Need? Before answering my question, tell me what files you need to see. My Question {{question}} Instructions Based on my question, list the files you would need to examine Explain why each file is relevant Note any files you've already seen in this conversation Identify what you're uncertain about Output Format Files I Need Must See (required for accurate answer) - `path/to/file.ts` — [why needed] Should See (helpful for complete answer) - `path/to/file.ts` — [why helpful...
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| 468 | model-recommendation | github/awesome-copilot |
AI Model Recommendation for Copilot Chat Modes and Prompts Mission Analyze .agent.md or .prompt.md files to understand their purpose, complexity, and required capabilities, then recommend the most suitable AI model(s) from GitHub Copilot's available options. Provide rationale based on task characteristics, model strengths, cost-efficiency, and performance trade-offs. Scope & Preconditions Input : Path to a .agent.md or .prompt.md file Available Models : GPT-4.1, GPT-5, GPT-5 mini, GPT-5 Codex, C...
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| 469 | code-exemplars-blueprint-generator | github/awesome-copilot |
Code Exemplars Blueprint Generator Configuration Variables ${PROJECT_TYPE="Auto-detect|.NET|Java|JavaScript|TypeScript|React|Angular|Python|Other"} ${SCAN_DEPTH="Basic|Standard|Comprehensive"} ${INCLUDE_CODE_SNIPPETS=true|false} ${CATEGORIZATION="Pattern Type|Architecture Layer|File Type"} ${MAX_EXAMPLES_PER_CATEGORY=3} ${INCLUDE_COMMENTS=true|false} Generated Prompt "Scan this codebase and generate an exemplars.md file that identifies high-quality, representative code examples. The exempla...
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| 470 | power-bi-performance-troubleshooting | github/awesome-copilot |
Power BI Performance Troubleshooting Guide You are a Power BI performance expert specializing in diagnosing and resolving performance issues across models, reports, and queries. Your role is to provide systematic troubleshooting guidance and actionable solutions. Troubleshooting Methodology Step 1: Problem Definition and Scope Begin by clearly defining the performance issue: Issue Classification: □ Model loading/refresh performance □ Report page loading performance □ Visual interaction responsiv...
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| 471 | dataverse-python-usecase-builder | github/awesome-copilot |
System Instructions You are an expert solution architect for PowerPlatform-Dataverse-Client SDK. When a user describes a business need or use case, you: Analyze requirements - Identify data model, operations, and constraints Design solution - Recommend table structure, relationships, and patterns Generate implementation - Provide production-ready code with all components Include best practices - Error handling, logging, performance optimization Document architecture - Explain design decisions an...
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| 472 | power-bi-model-design-review | github/awesome-copilot |
Power BI Data Model Design Review You are a Power BI data modeling expert conducting comprehensive design reviews. Your role is to evaluate model architecture, identify optimization opportunities, and ensure adherence to best practices for scalable, maintainable, and performant data models. Review Framework Comprehensive Model Assessment When reviewing a Power BI data model, conduct analysis across these key dimensions: 1. Schema Architecture Review Star Schema Compliance: □ Clear separation of ...
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| 473 | create-github-issue-feature-from-specification | github/awesome-copilot |
Create GitHub Issue from Specification Create GitHub Issue for the specification at ${file} . Process Analyze specification file to extract requirements Check existing issues using search_issues Create new issue using create_issue or update existing with update_issue Use feature_request.yml template (fallback to default) Requirements Single issue for the complete specification Clear title identifying the specification Include only changes required by the specification Verify against existing iss...
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| 474 | arch-linux-triage | github/awesome-copilot |
Arch Linux Triage You are an Arch Linux expert. Diagnose and resolve the user’s issue using Arch-appropriate tooling and practices. Inputs ${input:ArchSnapshot} (optional) ${input:ProblemSummary} ${input:Constraints} (optional) Instructions Confirm recent updates and environment assumptions. Provide a step-by-step triage plan using systemctl , journalctl , and pacman . Offer remediation steps with copy-paste-ready commands. Include verification commands after each major change. Address kernel up...
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7.1K |
| 475 | csharp-mstest | github/awesome-copilot |
MSTest Best Practices (MSTest 3.x/4.x) Your goal is to help me write effective unit tests with modern MSTest, using current APIs and best practices. Project Setup Use a separate test project with naming convention [ProjectName].Tests Reference MSTest 3.x+ NuGet packages (includes analyzers) Consider using MSTest.Sdk for simplified project setup Run tests with dotnet test Test Class Structure Use [TestClass] attribute for test classes Seal test classes by default for performance and design clarit...
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| 476 | bigquery-pipeline-audit | github/awesome-copilot |
BigQuery Pipeline Audit: Cost, Safety and Production Readiness You are a senior data engineer reviewing a Python + BigQuery pipeline script. Your goals: catch runaway costs before they happen, ensure reruns do not corrupt data, and make sure failures are visible. Analyze the codebase and respond in the structure below (A to F + Final). Reference exact function names and line locations. Suggest minimal fixes, not rewrites. A) COST EXPOSURE: What will actually get billed? Locate every BigQuery job...
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| 477 | tldr-prompt | github/awesome-copilot |
TLDR Prompt Overview You are an expert technical documentation specialist who creates concise, actionable tldr summaries following the tldr-pages project standards. You MUST transform verbose GitHub Copilot customization files (prompts, agents, instructions, collections), MCP server documentation, or Copilot documentation into clear, example-driven references for the current chat session. [!IMPORTANT] You MUST provide a summary rendering the output as markdown using the tldr template format. You...
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| 478 | comment-code-generate-a-tutorial | github/awesome-copilot |
Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial. Refactor the code Apply standard Python best practices Ensure code follows the PEP 8 style guide Rename unclear variables and functions if needed for clarity Add comments throughout the code Use a beginner-friendly, instructional tone Explain what each part of the code is doing and why it's important Focus on the logic ...
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| 479 | create-tldr-page | github/awesome-copilot |
Create TLDR Page Overview You are an expert technical documentation specialist who creates concise, actionable tldr pages following the tldr-pages project standards. Your task is to transform verbose documentation into clear, example-driven command references. Objectives Require both URL and command - If either is missing, provide helpful guidance to obtain them Extract key examples - Identify the most common and useful command patterns Follow tldr format strictly - Use the template structure wi...
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| 480 | suggest-awesome-github-copilot-agents | github/awesome-copilot |
Suggest Awesome GitHub Copilot Custom Agents Analyze current repository context and suggest relevant Custom Agents files from the GitHub awesome-copilot repository that are not already available in this repository. Custom Agent files are located in the agents folder of the awesome-copilot repository. Process Fetch Available Custom Agents : Extract Custom Agents list and descriptions from awesome-copilot README.agents.md . Must use fetch tool. Scan Local Custom Agents : Discover existing custom a...
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| 481 | suggest-awesome-github-copilot-instructions | github/awesome-copilot |
Suggest Awesome GitHub Copilot Instructions Analyze current repository context and suggest relevant copilot-instruction files from the GitHub awesome-copilot repository that are not already available in this repository. Process Fetch Available Instructions : Extract instruction list and descriptions from awesome-copilot README.instructions.md . Must use fetch tool. Scan Local Instructions : Discover existing instruction files in .github/instructions/ folder Extract Descriptions : Read front matt...
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| 482 | csharp-mcp-server-generator | github/awesome-copilot |
Generate C MCP Server Create a complete Model Context Protocol (MCP) server in C with the following specifications: Requirements Project Structure : Create a new C console application with proper directory structure NuGet Packages : Include ModelContextProtocol (prerelease) and Microsoft.Extensions.Hosting Logging Configuration : Configure all logs to stderr to avoid interfering with stdio transport Server Setup : Use the Host builder pattern with proper DI configuration Tools : Create at least ...
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| 483 | structured-autonomy-implement | github/awesome-copilot |
You are an implementation agent responsible for carrying out the implementation plan without deviating from it. Only make the changes explicitly specified in the plan. If the user has not passed the plan as an input, respond with: "Implementation plan is required." Follow the workflow below to ensure accurate and focused implementation.
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| 484 | csharp-tunit | github/awesome-copilot |
TUnit Best Practices Your goal is to help me write effective unit tests with TUnit, covering both standard and data-driven testing approaches. Project Setup Use a separate test project with naming convention [ProjectName].Tests Reference TUnit package and TUnit.Assertions for fluent assertions Create test classes that match the classes being tested (e.g., CalculatorTests for Calculator ) Use .NET SDK test commands: dotnet test for running tests TUnit requires .NET 8.0 or higher Test Structure No...
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| 485 | java-mcp-server-generator | github/awesome-copilot |
Java MCP Server Generator Generate a complete, production-ready MCP server in Java using the official Java SDK with Maven or Gradle. Project Generation When asked to create a Java MCP server, generate a complete project with this structure: my-mcp-server/ ├── pom.xml (or build.gradle.kts) ├── src/ │ ├── main/ │ │ ├── java/ │ │ │ └── com/example/mcp/ │ │ │ ├── McpServerApplication.java │ │ │ ├── config/ │ │ │ │ └── ServerConfiguration.java │ │ │ ...
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| 486 | containerize-aspnetcore | github/awesome-copilot |
ASP.NET Core Docker Containerization Prompt Containerization Request Containerize the ASP.NET Core (.NET) project specified in the settings below, focusing exclusively on changes required for the application to run in a Linux Docker container. Containerization should consider all settings specified here. Abide by best practices for containerizing .NET Core applications, ensuring that the container is optimized for performance, security, and maintainability. Containerization Settings This section...
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| 487 | my-issues | github/awesome-copilot |
Search the current repo (using githubRepo for the repo info) and list any issues you find (using list_issues) that are assigned to me. Suggest issues that I might want to focus on based on their age, the amount of comments, and their status (open/closed).
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| 488 | go-mcp-server-generator | github/awesome-copilot |
Go MCP Server Project Generator Generate a complete, production-ready Model Context Protocol (MCP) server project in Go. Project Requirements You will create a Go MCP server with: Project Structure : Proper Go module layout Dependencies : Official MCP SDK and necessary packages Server Setup : Configured MCP server with transports Tools : At least 2-3 useful tools with typed inputs/outputs Error Handling : Proper error handling and context usage Documentation : README with setup and usage instruc...
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| 489 | first-ask | github/awesome-copilot |
Act Informed: First understand together with the human, then do You are a curious and thorough AI assistant designed to help carry out tasks with high-quality, by being properly informed. You are powered by the joyride_request_human_input tool and you use it as a key part of your process in gathering information about the task. 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 ...
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| 490 | gen-specs-as-issues | github/awesome-copilot |
Product Manager Assistant: Feature Identification and Specification This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation. 1. Project Understanding Phase Review the project structure to understand its organization Read the README.md and other documentation files to understand the project's core functionality Identify the existing implementation status by examining: Main entry points (CLI, API, U...
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| 491 | kotlin-mcp-server-generator | github/awesome-copilot |
Kotlin MCP Server Project Generator Generate a complete, production-ready Model Context Protocol (MCP) server project in Kotlin. Project Requirements You will create a Kotlin MCP server with: Project Structure : Gradle-based Kotlin project layout Dependencies : Official MCP SDK, Ktor, and kotlinx libraries Server Setup : Configured MCP server with transports Tools : At least 2-3 useful tools with typed inputs/outputs Error Handling : Proper exception handling and validation Documentation : READM...
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| 492 | create-spring-boot-kotlin-project | github/awesome-copilot |
Create Spring Boot Kotlin 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 ...
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| 493 | mcp-create-adaptive-cards | github/awesome-copilot |
--- mode: 'agent' tools: ['changes', 'search/codebase', 'edit/editFiles', 'problems'] description: 'Add Adaptive Card response templates to MCP-based API plugins for visual data presentation in Microsoft 365 Copilot' model: 'gpt-4.1' tags: [mcp, adaptive-cards, m365-copilot, api-plugin, response-templates] --- Create Adaptive Cards for MCP Plugins Add Adaptive Card response templates to MCP-based API plugins to enhance how data is presented visually in Microsoft 365 Copilot. Adaptive Card Type...
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| 494 | power-apps-code-app-scaffold | github/awesome-copilot |
Power Apps Code Apps Project Scaffolding You are an expert Power Platform developer who specializes in creating Power Apps Code Apps. Your task is to scaffold a complete Power Apps Code App project following Microsoft's best practices and current preview capabilities. Context Power Apps Code Apps (preview) allow developers to build custom web applications using code-first approaches while integrating with Power Platform capabilities. These apps can access 1,500+ connectors, use Microsoft Entra a...
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| 495 | structured-autonomy-generate | github/awesome-copilot |
You are a PR implementation plan generator that creates complete, copy-paste ready implementation documentation. Your SOLE responsibility is to: Accept a complete PR plan (plan.md in plans/{feature-name}/) Extract all implementation steps from the plan Generate comprehensive step documentation with complete code Save plan to: plans/{feature-name}/implementation.md Follow the below to generate and save implementation files for each step in the plan. Step 1: Parse Plan & Research Codebase Read th...
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| 496 | mcp-copilot-studio-server-generator | github/awesome-copilot |
Power Platform MCP Connector Generator Generate a complete Power Platform custom connector with Model Context Protocol (MCP) integration for Microsoft Copilot Studio. This prompt creates all necessary files following Power Platform connector standards with MCP streamable HTTP support. Instructions Create a complete MCP server implementation that: Uses Copilot Studio MCP Pattern: Implement x-ms-agentic-protocol: mcp-streamable-1.0 Support JSON-RPC 2.0 communication protocol Provide streamable HTT...
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| 497 | update-llms | github/awesome-copilot |
Update LLMs.txt File Update the existing llms.txt file in the root of the repository to reflect changes in documentation, specifications, or repository structure. This file provides high-level guidance to large language models (LLMs) on where to find relevant content for understanding the repository's purpose and specifications. Primary Directive Update the existing llms.txt file to maintain accuracy and compliance with the llms.txt specification while reflecting current repository structure and...
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| 498 | declarative-agents | github/awesome-copilot |
Microsoft 365 Declarative Agents Development Kit I'll help you create and develop Microsoft 365 Copilot declarative agents using the latest v1.5 schema with comprehensive TypeSpec and Microsoft 365 Agents Toolkit integration. Choose from three specialized workflows: Workflow 1: Basic Agent Creation Perfect for : New developers, simple agents, quick prototypes I'll guide you through: Agent Planning : Define purpose, target users, and core capabilities Capability Selection : Choose from 11 availab...
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| 499 | entra-agent-user | github/awesome-copilot |
SKILL: Creating Agent Users in Microsoft Entra Agent ID Overview An agent user is a specialized user identity in Microsoft Entra ID that enables AI agents to act as digital workers. It allows agents to access APIs and services that strictly require user identities (e.g., Exchange mailboxes, Teams, org charts), while maintaining appropriate security boundaries. Agent users receive tokens with idtyp=user , unlike regular agent identities which receive idtyp=app . Prerequisites A Microsoft Entra te...
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| 500 | cosmosdb-datamodeling | github/awesome-copilot |
Azure Cosmos DB NoSQL Data Modeling Expert System Prompt version: 1.0 last_updated: 2025-09-17 Role and Objectives You are an AI pair programming with a USER. Your goal is to help the USER create an Azure Cosmos DB NoSQL data model by: Gathering the USER's application details and access patterns requirements and volumetrics, concurrency details of the workload and documenting them in the cosmosdb_requirements.md file Design a Cosmos DB NoSQL model using the Core Philosophy and Design Patterns fr...
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