github / awesome-copilot
create-llms
Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
Directory / library
github / awesome-copilot
Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
github / awesome-copilot
Create a README.md file for the project
github / awesome-copilot
Create a new specification file for the solution, optimized for Generative AI consumption.
github / awesome-copilot
Create Spring Boot Java Project Skeleton
github / awesome-copilot
Create Spring Boot Kotlin Project Skeleton
github / awesome-copilot
Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
github / awesome-copilot
Create a tldr page from documentation URLs and command examples, requiring both URL and command name.
github / awesome-copilot
Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracle dependencies.
github / awesome-copilot
Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.
github / awesome-copilot
Creates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation tests.
github / awesome-copilot
Get best practices for C# async programming
github / awesome-copilot
Ensure that C# types are documented with XML comments and follow best practices for documentation.
github / awesome-copilot
Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests
github / awesome-copilot
Get best practices for NUnit unit testing, including data-driven tests
github / awesome-copilot
Get best practices for TUnit unit testing, including data-driven tests
github / awesome-copilot
Get best practices for XUnit unit testing, including data-driven tests
github / awesome-copilot
Prepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations.
github / awesome-copilot
Pre-breach impact analysis: inventories sensitive data (PII, PHI, PCI-DSS, credentials), traces data flows, scores exposure vectors, and produces a regulatory blast radius report with fine ranges sourced verbatim from GDPR Art. 83, CCPA § 1798.155(a), and HIPAA 45 CFR § 160.404. Cost benchmarks from IBM Cost of a Data Breach Report (annually updated). All citations in references/SOURCES.md for verification. Use when asked: "assess breach impact", "what data could be exposed", "calculate blast radius", "data exposure analysis", "how bad would a breach be", "quantify data risk", "sensitive data inventory", "data flow security audit", "pre-breach assessment", "worst-case breach scenario", "breach readiness", "data risk report", "/data-breach-blast-radius". For any stack handling user data, health records, or financial information. Output labels law-sourced figures (exact) vs heuristic estimates (planning only). Does not replace legal counsel.
github / awesome-copilot
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
github / awesome-copilot
Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
github / awesome-copilot
Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
github / awesome-copilot
Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
github / awesome-copilot
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
github / awesome-copilot
Triage and resolve Debian Linux issues with apt, systemd, and AppArmor-aware guidance.