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Create a clear, concise README.md after reviewing the project and workspace. Uses example READMEs to guide structure and tone, formats the result for GitHub, and includes an existing project logo or icon when available.

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• Write a README for a project that lacks one
• Introduce a project to new readers
• Organize a README using existing examples

Create diagrams as editable .drawio files and export them to PNG, SVG, or PDF with embedded diagram data for later editing. A bundled PNG export script uses the desktop app or a browser to render diagrams.

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• Creating diagrams of services and external systems
• Preparing PNG diagrams for Word documents
• Sharing diagrams that can be edited again in draw.io

Review C#/.NET code for design patterns, separation of responsibilities, and common implementation issues. Receive actionable recommendations covering maintainability, testing, performance, and security without changing the code.

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• Review design patterns in C#/.NET code
• Check separation of responsibilities before refactoring
• Identify dependencies that make testing difficult

Build and troubleshoot C#/.NET MCP servers that expose tools and information to AI agents. Guidance targets the official 2.x SDK and covers transport setup, authentication, interactive features, basic clients, and migration issues caused by changed defaults.

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• Build a C#/.NET MCP server
• Add tools, prompts, and resources
• Diagnose STDIO and HTTP connection errors

Generate Python code for Dataverse integrations with error handling, retries, logging, and shared connection management. Include type hints, usage examples, and queries that retrieve only the records and columns needed for the task.

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• Build Python integrations with Dataverse
• Add retries and logging to API operations
• Limit retrieved records and columns

Assess potential data breach impact by reviewing sensitive data and its movement through a codebase. Produce an inventory, exposure rankings, financial estimates, and prioritized safeguards, distinguishing legal source figures from planning estimates.

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• Inventory sensitive data before a security review
• Trace where customer data could leak
• Estimate breach impact and costs for planning

Review an AI workflow across five areas: prompts, use of context, tools, system structure, and safety. Receive scores, specific findings, and prioritized actions to address quality and reliability problems.

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• Check an AI workflow before production use
• Audit an existing agent for quality and reliability
• Prioritize fixes for workflow problems

Turn an existing GitHub Actions workflow into a structured specification for maintenance and AI reference. Document its purpose, triggers, job dependencies, inputs, outputs, permissions, and failure handling, focusing on expected behavior rather than implementation details.

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• Documenting an existing GitHub Actions workflow
• Reviewing job order and dependencies
• Organizing permissions and failure handling

Keep a short, persistent work journal so an agent can resume across sessions. Record completed work, current status, next steps, and unsuccessful attempts, then read the latest entry when restarting or summarize the work when closing it.

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• Recording progress at the end of a session
• Resuming work from the latest journal entry
• Saving key decisions and unsuccessful attempts

Document a local codebase with file references, architecture diagrams, and verified project commands. For legacy modernization, assess what still runs and create a phased migration plan with validation methods suited to each component’s current condition.

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• Creating an onboarding guide for a codebase
• Mapping system architecture and dependencies
• Planning a legacy system migration or rewrite

Turn official command documentation into a concise tldr page, an example-based command reference. Provide a command name and documentation URL to get five to eight common usage examples with consistent formatting and placeholders.

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• Create a quick reference from a lengthy command manual
• Organize common command usage into five to eight examples
• Format command examples according to tldr conventions

Write and improve C# unit tests with MSTest 3.x/4.x. Covers assertions that check expected results, tests with multiple input sets, asynchronous setup, cleanup, and test organization, with guidance on APIs that differ between versions.

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• Create a C# unit test project
• Test multiple input sets with DataRow or DynamicData
• Update exception checks to modern assertion APIs

Provides prompts for assessing and planning .NET upgrades across multiple projects. Helps identify compatibility issues, order migration work, propose code and build pipeline changes, and prepare testing checklists, review guidance, and release documentation.

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• Assessing project structure and dependency compatibility
• Planning an incremental upgrade with rollback checkpoints
• Reviewing deprecated APIs and NuGet package replacements

Create rollout plans for application and infrastructure changes. Organize readiness checks, deployment steps, health indicators, rollback procedures, and stakeholder communications, adapting the detail to the target environment, change type, and level of risk.

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• Prepare a production deployment plan
• Define rollback steps and decision criteria
• Set post-deployment health checks

Configure GitHub Dependabot to keep dependencies, the packages a project relies on, updated. Organize update pull requests into groups, set schedules and exclusion rules, and configure security updates across projects with multiple packages or package systems.

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• Create or revise dependabot.yml
• Group dependency updates into fewer pull requests
• Configure updates across a monorepo

Builds an evidence map for a disputed decision, linking supporting evidence, counterevidence, qualifications, and missing facts to precise source passages. Produces a structured JSON artifact that makes the reasoning and unresolved questions available for review.

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• Comparing evidence for a disputed technical choice
• Synthesizing research with conflicting findings
• Reviewing a proposal's evidence and unresolved questions

Set up CodeQL security scanning in GitHub Actions or with the local CLI. Get guidance on language settings, build steps, analysis rules, result uploads, and troubleshooting so you can configure scans and interpret their findings.

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• Adding security scans to GitHub Actions
• Running local scans with the CodeQL CLI
• Investigating failed builds or result uploads

Prepare an ASP.NET .NET Framework application for Windows Docker containers. Create project-specific build and runtime files, configure environment-based settings and Windows dependencies, and verify that the Docker image builds successfully.

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• Move an existing ASP.NET application into a Windows container
• Configure COM components and other Windows dependencies
• Read application settings and connection strings from environment variables

Inspect an Azure resource group and turn its resources and connections into a Mermaid architecture diagram, a text-based diagram format. Create Markdown documentation with a resource inventory, configuration details, and explanations of network, data, and identity relationships.

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• Understanding an existing Azure environment
• Creating architecture documentation for handovers
• Mapping network, data, and identity connections

Create a feature PRD, a product requirements document, from a parent Epic. Turns a feature idea into user stories, explicit requirements, acceptance criteria, and scope boundaries that engineering teams can use to prepare a technical specification.

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• Turn a feature within an Epic into a detailed PRD
• Describe primary user paths and edge cases
• Define acceptance criteria for feature completion

Explore unfamiliar code with Codebase Memory to map architecture, trace function calls and dependencies, and assess change impact. Findings are checked against source files, with index freshness and coverage considered before drawing conclusions.

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• Understanding an unfamiliar codebase
• Tracing function callers and dependencies
• Assessing the impact of code changes

Map the code relevant to a task before implementation. Identify files to change, direct dependencies, related tests, and existing patterns, then organize the findings and potential risks into a structured document for review.

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• Identifying affected files before a code change
• Finding related tests and dependencies
• Locating existing implementation patterns

Retrieve GitHub Copilot usage for an organization or enterprise through the GitHub CLI and REST API. Summarize active users, suggestion acceptance, and chat activity, with aggregate results or per-user tables for selected dates.

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• Check Copilot adoption across an organization
• Review suggestion acceptance rates and chat usage
• Compare usage across individual users

Turn work history into clear accomplishment statements for performance reviews, promotion cases, and weekly updates. Use Copilot CLI sessions, git commits, and GitHub pull requests to connect each action with its result and supporting evidence.

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• Recovering work accomplishments missing from a personal log
• Preparing evidence for a performance review
• Organizing achievements for a promotion case