Offline mode with local caching for air-gapped environments
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Skills that do not fit the categories above (14.9K skills)
Offline mode with local caching for air-gapped environments
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AI-powered skill recommendation engine for dotnet-agent-harness. Analyzes project context and recommends relevant skills based on detected frameworks, packages, and patterns. Triggers on: recommend skill, suggest skills, what skill should I use, skill suggestion, project analysis recommendation.
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Architects Blazor apps. Hosting models, render modes, routing, streaming, prerender.
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Adds analyzer packages to a project. Nullable, trimming, AOT compat analyzers, severity config.
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Implements producer/consumer queues. Channel<T>, bounded/unbounded, backpressure, drain.
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Skill manifest management for dotnet-agent-harness. Tracks skill dependencies, conflicts, version compatibility, and provides validation and resolution tools. Triggers on: skill manifest, dependency resolution, skill compatibility, version conflicts, build manifest, validate dependencies.
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Implements Blazor components. Lifecycle, state management, JS interop, EditForm, QuickGrid.
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Gates CI on perf regressions. Automated threshold alerts, baseline tracking, trend reports.
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Patterns and techniques for evaluating and improving AI agent outputs.
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Implements background work. BackgroundService, IHostedService, lifecycle, graceful shutdown.
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Compiles .NET to WebAssembly AOT. Blazor/Uno WASM, size vs speed, lazy loading, Brotli.
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Use when building .NET 10 or C# 14 applications; when using minimal APIs, modular monolith patterns, or feature folders; when implementing HTTP resilience, Options pattern, Channels, or validation; when seeing outdated patterns like old extension method syntax
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Close out a completed workstream by updating README artifacts when needed, producing a commit message, and applying changelog-ready content when the work is ready for commit. Use after review when a stable checkpoint is reached.
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Close out a completed workstream by updating README artifacts when needed, producing a commit message, and applying changelog-ready content when the work is ready for commit. Use after review when a stable checkpoint is ready.
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Run MYOT project validation commands (lint and build) and report results.
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Prepare a MYOT commit by writing SuggestedCommit.txt and SuggestedCommitBody.md following Conventional Commits, without actually committing.
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Implement MYOT changes safely with minimal diffs, behavior preservation, and post-change validation.
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Generate a session report with token usage estimates, work summary, and outcomes
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Remove a GSD workspace and clean up worktrees
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Manage persistent context threads for cross-session work
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Resume work from previous session with full context restoration
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Update GSD to latest version with changelog display
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Create PR, run review, and prepare for merge after verification passes
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Request cross-AI peer review of phase plans from external AI CLIs
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