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Set up Python APIs with FastAPI using organized project templates. Build routes, asynchronous database operations, authentication, and error handling, with examples for sharing dependencies and testing endpoints through a separate test database.

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• Set up a new FastAPI project
• Build a Python API with asynchronous database access
• Organize authentication and shared dependencies

Build Solidity contract tests with Hardhat and Foundry. Check individual functions, contract interactions, gas usage, and varied inputs, and use a local copy of mainnet state to test against existing contracts.

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• Testing token transfers and expected failures
• Checking edge cases with varied generated inputs
• Testing interactions with existing mainnet contracts

Create and maintain due diligence checklists for acquisitions or investments. Tailor requests to the company and deal, track owners and review status, and summarize missing documents and issues that could affect valuation or deal terms.

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• Preparing a due diligence request list
• Checking a data room for missing documents
• Tracking review progress across workstreams

Create stock research notes combining analyst forecasts, reported financials, price history, and economic conditions. Compare market expectations with business performance, present valuation measures, and summarize an investment case with positive scenarios, risks, and potential catalysts.

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• Preparing an initial research note on a stock
• Comparing analyst forecasts with reported results
• Reviewing financial trends and stock valuation

Builds an Excel model to estimate a company’s equity value from future cash flows. It calculates financing costs, compares three business scenarios, and shows how changes in growth, margins, and other assumptions affect valuation.

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• Estimating a company’s value from future cash flows
• Comparing bear, base, and bull scenarios
• Testing how growth and financing costs affect valuation

Create an industry report covering market size, growth drivers, major competitors, and valuation levels. Organize findings into Word or PowerPoint with charts and company comparisons, plus an Excel appendix containing detailed company data.

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• Preparing an industry overview for a client
• Building internal knowledge of an unfamiliar sector
• Researching an investment theme

Review a Power BI data model’s tables, relationships, storage choices, performance, maintainability, and security. Use the findings to identify design issues and build a prioritized improvement plan with concrete recommendations and implementation guidance.

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• Reviewing a Power BI model before production release
• Investigating slow queries and oversized models
• Checking table relationships and storage choices

Create and improve web, mobile, and desktop interfaces in Penpot through connected tools. Reuse existing design patterns, build layouts and components, and inspect designs for readability, accessibility, spacing, and usability.

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• Designing dashboards and app screens
• Improving forms and navigation
• Building a consistent component library

Review DAX formulas, the expressions used for calculations in Power BI, and propose clearer, more maintainable alternatives. Identify repeated calculations, costly filtering, and error-handling issues, then explain changes and recommend ways to test them.

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• Reviewing slow calculations in Power BI reports
• Making complex DAX formulas easier to read
• Improving division and blank-value handling

Analyze an existing project's folders and produce a guide explaining directory purposes, naming conventions, and file placement. Choose a tree, list, or table, and optionally include templates for adding features consistently with the project's observed structure.

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• Creating a folder guide for new team members
• Documenting naming and file placement conventions
• Preparing folder templates for new features

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

Generate an .editorconfig file tailored to a project's file types and formatting preferences. Set indentation, line endings, character encoding, and whitespace rules, with a clear explanation of each choice to support consistent formatting across editors.

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• Standardize formatting across team members' editors
• Set indentation rules for different file types
• Define line ending and whitespace settings

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

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

Create, design, and validate agents for Microsoft 365 Copilot. The skill guides JSON configuration or TypeSpec definitions, a typed alternative, alongside local testing, enterprise requirements, and deployment planning with Microsoft 365 Agents Toolkit.

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• Build a prototype agent for Microsoft 365 Copilot
• Plan enterprise features and multilingual support
• Validate an existing agent's configuration

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

Create a copilot-instructions.md file from an existing codebase. Identify technology versions, architecture, naming conventions, and testing practices, then turn observed patterns into project-specific guidance for GitHub Copilot without introducing unsupported assumptions.

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• Create GitHub Copilot instructions for an existing project
• Document version compatibility requirements
• Capture established coding and testing conventions

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

Convert feature requirements and implementation plans into a test strategy, task checklist, and quality assurance plan for GitHub projects. Define test coverage, priorities, dependencies, estimates, and quality checkpoints using established testing and software quality frameworks.

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• Plan testing from feature requirements and implementation documents
• Break testing work into tasks for GitHub issue management
• Prioritize performance, security, and accessibility checks

Turn feature requirements and technical plans into a structured GitHub project plan. Break work into linked issues, define acceptance criteria, dependencies, priorities, and estimates, and outline board settings and automated progress tracking.

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• Breaking feature requirements into GitHub Issues
• Mapping dependencies and setting work priorities
• Preparing sprint estimates and completion criteria

Review AI prompts for harmful output risks, bias, privacy concerns, security weaknesses, and clarity. Receive an assessment, a revised prompt, and suggested tests with explanations of the principles behind each improvement.

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• Review a prompt before putting it into use
• Check wording for stereotypes and bias
• Assess data exposure and prompt injection risks

Check Bicep infrastructure definitions before deploying to Azure. Validate syntax, preview resource changes, check deployment permissions, and produce a Markdown report of issues and recommendations using Azure CLI or Azure Developer CLI workflows.

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• Validating Bicep files before deployment
• Previewing resource creation, modification, and deletion
• Checking deployment permissions

Analyze a codebase to document its technologies, architecture, dependencies, and implementation patterns. Produce a Markdown reference with optional diagrams, code examples, and guidance for adding features consistently with the existing design.

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• Understand an unfamiliar codebase's architecture
• Document components, dependencies, and data flow
• Create guidance for adding features consistently

Review codebases, APIs, and tools for vulnerabilities using source evidence and bounded local checks. Produces supported findings with impact, priority, and focused fixes, and can create structured reports for explicitly requested full audits.

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• Review security concerns in specific code
• Investigate a suspected vulnerability
• Audit a codebase and produce reports