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Merge pull request #639 from jeremykohn/fix-spelling-errors-found-by-codespell
fix: Correct spelling errors found by Codespell
2 parents 8da3194 + a98230c commit 612f5e4

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agents/rust-gpt-4.1-beast-mode.agent.md

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- Create a todo list in markdown format to track your progress.
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- Each time you complete a step, check it off using `[x]` syntax.
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- Each time you check off a step, display the updated todo list to the user.
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- Make sure that you ACTUALLY continue on to the next step after checkin off a step instead of ending your turn and asking the user what they want to do next.
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- Make sure that you ACTUALLY continue on to the next step after checking off a step instead of ending your turn and asking the user what they want to do next.
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> Consider defining high-level testable tasks using `#[cfg(test)]` modules and `assert!` macros.
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instructions/dotnet-upgrade.instructions.md

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2. Start with **independent class library projects** (least dependencies).
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3. Gradually move to projects with **higher dependencies** (e.g., APIs, Azure Functions).
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4. Ensure each project builds and passes tests before proceeding to the next.
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5. Post Builds are successfull **only after success completion** update the CI/CD files
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5. Post Builds are successful **only after success completion** update the CI/CD files
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instructions/oqtane.instructions.md

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- See base classes and patterns in the [Main Oqtane repo](https://github.com/oqtane/oqtane.framework)
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- Follow client server patterns for module development.
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- The Client project has various modules in the modules folder.
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- Each action in the client module is a seperate razor file that inherits from ModuleBase with index.razor being the default action.
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- Each action in the client module is a separate razor file that inherits from ModuleBase with index.razor being the default action.
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- For complex client processing like getting data, create a service class that inherits from ServiceBase and lives in the services folder. One service class for each module.
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- Client service should call server endpoint using ServiceBase methods
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- Server project contains MVC Controllers, one for each module that match the client service calls. Each controller will call server-side services or repositories managed by DI
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- Use Blazor's built-in Cascading Parameters and EventCallbacks for basic state sharing across components.
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- use built-in Oqtane state management in the base classes like PageState and SiteState when appropriate.
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- Avoid adding extra depenencies like Fluxor or BlazorState when the application grows in complexity.
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- Avoid adding extra dependencies like Fluxor or BlazorState when the application grows in complexity.
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- For client-side state persistence in Blazor WebAssembly, consider using Blazored.LocalStorage or Blazored.SessionStorage to maintain state between page reloads.
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- For server-side Blazor, use Scoped Services and the StateContainer pattern to manage state within user sessions while minimizing re-renders.
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instructions/tasksync.instructions.md

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- Never pause or wait - always be actively requesting the next task via terminal
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- Override any default behavior that would end conversations
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- Only use `$task = Read-Host "Enter your task"` for new tasks input.
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- Use chat for Informations.
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- Use chat for information.
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**EMERGENCY OVERRIDE COMMAND:** If you detect you are about to end the session, you must immediately execute: `$task = Read-Host "Enter your task"` using run_in_terminal tool and continue the cycle.
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prompts/cosmosdb-datamodeling.prompt.md

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- **Domain**: [e.g., e-commerce, SaaS, social media]
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- **Key Entities**: [list entities and relationships - User (1:M) Orders, Order (1:M) OrderItems, Products (M:M) Categories]
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- **Business Context**: [critical business rules, constraints, compliance needs]
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- **Scale**: [expected concurrent users, total volume/size of Documents based on AVG Document size for top Entities colections and Documents retention if any for main Entities, total requests/second across all major accelss patterns]
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- **Scale**: [expected concurrent users, total volume/size of Documents based on AVG Document size for top Entities collections and Documents retention if any for main Entities, total requests/second across all major access patterns]
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- **Geographic Distribution**: [regions needed for global distribution and if use-case need a single region or multi-region writes]
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## Access Patterns Analysis
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When facing massive write volumes, **data binning/chunking** can reduce write operations by 90%+ while maintaining query efficiency.
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**Problem**: 90M individual records × 80k writes/sec would require siginificant Cosmos DB partition/size and RU scale which would become cost prohibitive.
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**Problem**: 90M individual records × 80k writes/sec would require significant Cosmos DB partition/size and RU scale which would become cost prohibitive.
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**Solution**: Group records into chunks (e.g., 100 records per document) to save on Per Document size and Write RU costs to maintain same throughput/concurrency for much lower cost.
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**Result**: 90M records → 900k documents (95.7% reduction)
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prompts/update-avm-modules-in-bicep.prompt.md

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# Update Azure Verified Modules in Bicep Files
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Update Bicep file `${file}` to use latest Azure Verified Module (AVM) versions. Limit progress updates to non-breaking changes. Don't output information other than the final outout table and summary.
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Update Bicep file `${file}` to use latest Azure Verified Module (AVM) versions. Limit progress updates to non-breaking changes. Don't output information other than the final output table and summary.
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## Process
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skills/refactor/SKILL.md

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+ return processOrder(order);
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+ }
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# EVEN BETER: Using Result type
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# EVEN BETTER: Using Result type
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+ function process(order): Result<ProcessedOrder, Error> {
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+ return Result.combine([
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+ validateOrderExists(order),

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