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Add Expert Angular Frontend Engineer custom Agent#1300

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0x1bitcrack3r wants to merge 3 commits intogithub:stagedfrom
0x1bitcrack3r:feature/angularjs-frontend-specialist-chatmode
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Add Expert Angular Frontend Engineer custom Agent#1300
0x1bitcrack3r wants to merge 3 commits intogithub:stagedfrom
0x1bitcrack3r:feature/angularjs-frontend-specialist-chatmode

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Pull Request Checklist

  • I have read and followed the [CONTRIBUTING.md](https://github.com/github/awesome-copilot/blob/main/CONTRIBUTING.md) guidelines.
  • My contribution adds a new instruction, prompt, or chat mode file in the correct directory.
  • The file follows the required naming convention.
  • The content is clearly structured and follows the example format.
  • I have tested my instructions, prompt, or chat mode with GitHub Copilot.
  • I have run npm start and verified that README.md is up to date.

Description

This PR adds a comprehensive Angular 19 Expert Frontend Engineer chat mode designed for developers building production-ready applications using Angular's modern architecture, signals-based reactivity, and cutting-edge Angular platform features.


Type of Contribution

  • New chat mode file.

Additional Notes

Key Features:

  • Signals Architecture with signal(), computed(), effect(), linkedSignal() (Angular 19), and full toSignal() / toObservable() RxJS interop
  • Signal-Based Component APIs replacing @Input() / @Output() / @ViewChild with input(), output(), model(), viewChild(), and contentChild()
  • New Control Flow Syntax using @if, @for (with required track), @switch, and @defer with @placeholder, @loading, and @error blocks — replacing legacy structural directives entirely
  • @let Template Variables (Angular 19) for clean in-template declarations without component class boilerplate
  • linkedSignal() (Angular 19) for signals that derive from a source but can also be independently overridden
  • SSR & Incremental Hydration with route-level render modes (Prerender, Server, Client) and @defer (hydrate on viewport / interaction) (Angular 19)
  • Standalone Components by Default with no NgModules, bootstrapApplication, and environment providers
  • Zoneless Change Detection via provideZonelessChangeDetection() for maximum performance
  • Functional Router Patterns including functional guards, resolvers, withComponentInputBinding(), and lazy-loaded routes
  • Typed Reactive Forms with FormControl<T>, FormGroup<Schema>, custom validators, and async validation
  • Functional HTTP Interceptors using HttpInterceptorFn with provideHttpClient(withFetch())
  • RxJS Interop with takeUntilDestroyed(), toSignal(), and toObservable() for seamless Observable-to-signal bridging
  • Signal-Based State Services using signal(), computed(), and .asReadonly() as a lightweight NgRx alternative
  • SSR-Safe Browser Guards with isPlatformBrowser(), afterNextRender(), and afterRender()
  • NgOptimizedImage for automatic LCP image optimization, lazy loading, and width/height enforcement
  • Angular Material 3 with design tokens, theming, and CDK utilities
  • Accessibility with Angular CDK a11y, live announcer, focus trap, ARIA patterns, and WCAG 2.1 AA compliance
  • Testing with Angular Testing Library, Spectator, component harnesses, and Playwright e2e

This chat mode is particularly useful for teams building modern Angular 19 applications that demand performance, scalability, type safety, and design system consistency while adhering to the latest signals-based reactive architecture and standalone component model.


By submitting this pull request, I confirm that my contribution abides by the [Code of Conduct](../CODE_OF_CONDUCT.md) and will be licensed under the MIT License.

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⚠️ This PR targets main, but PRs should target staged.

The main branch is auto-published from staged and should not receive direct PRs.
Please close this PR and re-open it against the staged branch.

You can change the base branch using the Edit button at the top of this PR,
or run: gh pr edit 1300 --base staged

@0x1bitcrack3r 0x1bitcrack3r changed the base branch from main to staged April 5, 2026 01:50
@0x1bitcrack3r 0x1bitcrack3r requested a review from dvelton as a code owner April 5, 2026 01:50
@0x1bitcrack3r 0x1bitcrack3r reopened this Apr 7, 2026
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github-actions bot commented Apr 7, 2026

🔍 Skill Validator Results

117 resource(s) checked | ✅ All checks passed

Full output
Found 116 skill(s)
[arize-ai-provider-integration] 📊 arize-ai-provider-integration: 2,305 BPE tokens [chars/4: 2,216] (detailed ✓), 29 sections, 16 code blocks
[arize-ai-provider-integration]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-annotation] 📊 arize-annotation: 1,822 BPE tokens [chars/4: 1,930] (detailed ✓), 18 sections, 7 code blocks
[arize-annotation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-dataset] 📊 arize-dataset: 3,482 BPE tokens [chars/4: 3,444] (standard ~), 51 sections, 16 code blocks
[arize-dataset]    ⚠  Skill is 3,482 BPE tokens (chars/4 estimate: 3,444) — approaching "comprehensive" range where gains diminish.
[arize-evaluator] 📊 arize-evaluator: 6,243 BPE tokens [chars/4: 6,326] (comprehensive ✗), 57 sections, 22 code blocks
�[31m❌ [arize-evaluator] SKILL.md body is 576 lines — maximum is 500. Move detailed reference material to separate files.�[0m
[arize-evaluator]    ⚠  Skill is 6,243 BPE tokens (chars/4 estimate: 6,326) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[arize-experiment] 📊 arize-experiment: 3,204 BPE tokens [chars/4: 3,167] (standard ~), 33 sections, 18 code blocks
[arize-experiment]    ⚠  Skill is 3,204 BPE tokens (chars/4 estimate: 3,167) — approaching "comprehensive" range where gains diminish.
[arize-instrumentation] 📊 arize-instrumentation: 4,790 BPE tokens [chars/4: 4,901] (standard ~), 19 sections, 3 code blocks
[arize-instrumentation]    ⚠  Skill is 4,790 BPE tokens (chars/4 estimate: 4,901) — approaching "comprehensive" range where gains diminish.
[arize-link] 📊 arize-link: 1,191 BPE tokens [chars/4: 1,073] (detailed ✓), 9 sections, 6 code blocks
[arize-prompt-optimization] 📊 arize-prompt-optimization: 4,296 BPE tokens [chars/4: 4,594] (standard ~), 58 sections, 19 code blocks
[arize-prompt-optimization]    ⚠  Skill is 4,296 BPE tokens (chars/4 estimate: 4,594) — approaching "comprehensive" range where gains diminish.
[arize-trace] 📊 arize-trace: 5,220 BPE tokens [chars/4: 5,151] (comprehensive ✗), 42 sections, 10 code blocks
[arize-trace]    ⚠  Skill is 5,220 BPE tokens (chars/4 estimate: 5,151) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[automate-this] 📊 automate-this: 2,869 BPE tokens [chars/4: 3,107] (standard ~), 16 sections, 8 code blocks
[automate-this]    ⚠  Skill is 2,869 BPE tokens (chars/4 estimate: 3,107) — approaching "comprehensive" range where gains diminish.
[suggest-awesome-github-copilot-agents] 📊 suggest-awesome-github-copilot-agents: 1,467 BPE tokens [chars/4: 1,979] (detailed ✓), 9 sections, 0 code blocks
[suggest-awesome-github-copilot-agents]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[suggest-awesome-github-copilot-instructions] 📊 suggest-awesome-github-copilot-instructions: 1,499 BPE tokens [chars/4: 1,904] (detailed ✓), 11 sections, 1 code blocks
[suggest-awesome-github-copilot-skills] 📊 suggest-awesome-github-copilot-skills: 1,725 BPE tokens [chars/4: 2,018] (detailed ✓), 11 sections, 1 code blocks
[az-cost-optimize] 📊 az-cost-optimize: 2,956 BPE tokens [chars/4: 3,218] (standard ~), 12 sections, 7 code blocks
[az-cost-optimize]    ⚠  Skill is 2,956 BPE tokens (chars/4 estimate: 3,218) — approaching "comprehensive" range where gains diminish.
[azure-pricing] 📊 azure-pricing: 2,315 BPE tokens [chars/4: 2,371] (detailed ✓), 23 sections, 4 code blocks
[azure-resource-health-diagnose] 📊 azure-resource-health-diagnose: 2,492 BPE tokens [chars/4: 2,859] (detailed ✓), 12 sections, 8 code blocks
[import-infrastructure-as-code] 📊 import-infrastructure-as-code: 4,135 BPE tokens [chars/4: 4,680] (standard ~), 30 sections, 11 code blocks
[import-infrastructure-as-code]    ⚠  Skill is 4,135 BPE tokens (chars/4 estimate: 4,680) — approaching "comprehensive" range where gains diminish.
[remember-interactive-programming] 📊 remember-interactive-programming: 175 BPE tokens [chars/4: 221] (compact ✓), 0 sections, 0 code blocks
[remember-interactive-programming]    ⚠  Skill is only 175 BPE tokens (chars/4 estimate: 221) — may be too sparse to provide actionable guidance.
[remember-interactive-programming]    ⚠  No section headers — agents navigate structured documents better.
[remember-interactive-programming]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[remember-interactive-programming]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[context-map] 📊 context-map: 249 BPE tokens [chars/4: 287] (compact ✓), 10 sections, 1 code blocks
[refactor-plan] 📊 refactor-plan: 356 BPE tokens [chars/4: 355] (compact ✓), 15 sections, 1 code blocks
[what-context-needed] 📊 what-context-needed: 209 BPE tokens [chars/4: 219] (compact ✓), 9 sections, 1 code blocks
[integrate-context-matic] 📊 integrate-context-matic: 1,412 BPE tokens [chars/4: 1,495] (detailed ✓), 12 sections, 0 code blocks
[integrate-context-matic]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[integrate-context-matic]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[onboard-context-matic] 📊 onboard-context-matic: 3,039 BPE tokens [chars/4: 3,261] (standard ~), 13 sections, 12 code blocks
[onboard-context-matic]    ⚠  Skill is 3,039 BPE tokens (chars/4 estimate: 3,261) — approaching "comprehensive" range where gains diminish.
[copilot-sdk] 📊 copilot-sdk: 5,748 BPE tokens [chars/4: 6,042] (comprehensive ✗), 63 sections, 41 code blocks
�[31m❌ [copilot-sdk] SKILL.md body is 910 lines — maximum is 500. Move detailed reference material to separate files.�[0m
[copilot-sdk]    ⚠  Skill is 5,748 BPE tokens (chars/4 estimate: 6,042) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[aspnet-minimal-api-openapi] 📊 aspnet-minimal-api-openapi: 343 BPE tokens [chars/4: 439] (compact ✓), 5 sections, 0 code blocks
[aspnet-minimal-api-openapi]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[aspnet-minimal-api-openapi]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-async] 📊 csharp-async: 379 BPE tokens [chars/4: 466] (compact ✓), 7 sections, 0 code blocks
[csharp-async]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-async]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-mstest] 📊 csharp-mstest: 3,249 BPE tokens [chars/4: 3,458] (standard ~), 31 sections, 22 code blocks
[csharp-mstest]    ⚠  Skill is 3,249 BPE tokens (chars/4 estimate: 3,458) — approaching "comprehensive" range where gains diminish.
[csharp-nunit] 📊 csharp-nunit: 636 BPE tokens [chars/4: 711] (detailed ✓), 8 sections, 0 code blocks
[csharp-nunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-nunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-tunit] 📊 csharp-tunit: 1,164 BPE tokens [chars/4: 1,287] (detailed ✓), 10 sections, 0 code blocks
[csharp-tunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-tunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-xunit] 📊 csharp-xunit: 599 BPE tokens [chars/4: 677] (detailed ✓), 8 sections, 0 code blocks
[csharp-xunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-xunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[dotnet-best-practices] 📊 dotnet-best-practices: 602 BPE tokens [chars/4: 808] (detailed ✓), 12 sections, 0 code blocks
[dotnet-best-practices]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-best-practices]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[dotnet-upgrade] 📊 dotnet-upgrade: 1,354 BPE tokens [chars/4: 1,768] (detailed ✓), 1 sections, 0 code blocks
[dotnet-upgrade]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-upgrade]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-mcp-server-generator] 📊 csharp-mcp-server-generator: 459 BPE tokens [chars/4: 560] (detailed ✓), 9 sections, 0 code blocks
[csharp-mcp-server-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[postgresql-code-review] 📊 postgresql-code-review: 1,646 BPE tokens [chars/4: 1,847] (detailed ✓), 21 sections, 8 code blocks
[postgresql-optimization] 📊 postgresql-optimization: 2,651 BPE tokens [chars/4: 2,834] (standard ~), 36 sections, 20 code blocks
[postgresql-optimization]    ⚠  Skill is 2,651 BPE tokens (chars/4 estimate: 2,834) — approaching "comprehensive" range where gains diminish.
[postgresql-optimization]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[sql-code-review] 📊 sql-code-review: 2,112 BPE tokens [chars/4: 2,220] (detailed ✓), 36 sections, 15 code blocks
[sql-optimization] 📊 sql-optimization: 2,212 BPE tokens [chars/4: 2,298] (detailed ✓), 28 sections, 14 code blocks
[dataverse-python-advanced-patterns] 📊 dataverse-python-advanced-patterns: 242 BPE tokens [chars/4: 291] (compact ✓), 0 sections, 0 code blocks
[dataverse-python-advanced-patterns]    ⚠  No section headers — agents navigate structured documents better.
[dataverse-python-advanced-patterns]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dataverse-python-production-code] 📊 dataverse-python-production-code: 813 BPE tokens [chars/4: 913] (detailed ✓), 9 sections, 3 code blocks
[dataverse-python-quickstart] 📊 dataverse-python-quickstart: 133 BPE tokens [chars/4: 163] (compact ✓), 0 sections, 0 code blocks
[dataverse-python-quickstart]    ⚠  Skill is only 133 BPE tokens (chars/4 estimate: 163) — may be too sparse to provide actionable guidance.
[dataverse-python-quickstart]    ⚠  No section headers — agents navigate structured documents better.
[dataverse-python-quickstart]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dataverse-python-quickstart]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[dataverse-python-usecase-builder] 📊 dataverse-python-usecase-builder: 1,538 BPE tokens [chars/4: 1,684] (detailed ✓), 38 sections, 5 code blocks
[azure-resource-health-diagnose] 📊 azure-resource-health-diagnose: 2,492 BPE tokens [chars/4: 2,859] (detailed ✓), 12 sections, 8 code blocks
[multi-stage-dockerfile] 📊 multi-stage-dockerfile: 443 BPE tokens [chars/4: 577] (detailed ✓), 5 sections, 0 code blocks
[multi-stage-dockerfile]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[multi-stage-dockerfile]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[doublecheck] 📊 doublecheck: 3,254 BPE tokens [chars/4: 3,973] (standard ~), 26 sections, 3 code blocks
[doublecheck]    ⚠  Skill is 3,254 BPE tokens (chars/4 estimate: 3,973) — approaching "comprehensive" range where gains diminish.
[geofeed-tuner] 📊 geofeed-tuner: 11,662 BPE tokens [chars/4: 12,215] (comprehensive ✗), 35 sections, 15 code blocks
�[31m❌ [geofeed-tuner] SKILL.md body is 848 lines — maximum is 500. Move detailed reference material to separate files.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference 'assets/example/01-user-input-rfc8805-feed.csv' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/comments.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/mcp-server-payload.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/mcp-server-payload.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[geofeed-tuner]    ⚠  Skill is 11,662 BPE tokens (chars/4 estimate: 12,215) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[flowstudio-power-automate-build] 📊 flowstudio-power-automate-build: 4,164 BPE tokens [chars/4: 4,298] (standard ~), 38 sections, 15 code blocks
[flowstudio-power-automate-build]    ⚠  Skill is 4,164 BPE tokens (chars/4 estimate: 4,298) — approaching "comprehensive" range where gains diminish.
[flowstudio-power-automate-build]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[flowstudio-power-automate-debug] 📊 flowstudio-power-automate-debug: 2,926 BPE tokens [chars/4: 2,784] (standard ~), 65 sections, 13 code blocks
[flowstudio-power-automate-debug]    ⚠  Skill is 2,926 BPE tokens (chars/4 estimate: 2,784) — approaching "comprehensive" range where gains diminish.
[flowstudio-power-automate-mcp] 📊 flowstudio-power-automate-mcp: 4,522 BPE tokens [chars/4: 4,330] (standard ~), 62 sections, 11 code blocks
[flowstudio-power-automate-mcp]    ⚠  Skill is 4,522 BPE tokens (chars/4 estimate: 4,330) — approaching "comprehensive" range where gains diminish.
[flowstudio-power-automate-mcp]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[playwright-explore-website] 📊 playwright-explore-website: 140 BPE tokens [chars/4: 171] (compact ✓), 2 sections, 0 code blocks
[playwright-explore-website]    ⚠  Skill is only 140 BPE tokens (chars/4 estimate: 171) — may be too sparse to provide actionable guidance.
[playwright-explore-website]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[playwright-generate-test] 📊 playwright-generate-test: 178 BPE tokens [chars/4: 220] (compact ✓), 2 sections, 0 code blocks
[playwright-generate-test]    ⚠  Skill is only 178 BPE tokens (chars/4 estimate: 220) — may be too sparse to provide actionable guidance.
[playwright-generate-test]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[playwright-generate-test]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[go-mcp-server-generator] 📊 go-mcp-server-generator: 1,740 BPE tokens [chars/4: 1,759] (detailed ✓), 21 sections, 8 code blocks
[create-spring-boot-java-project] 📊 create-spring-boot-java-project: 1,110 BPE tokens [chars/4: 1,159] (detailed ✓), 17 sections, 11 code blocks
[create-spring-boot-java-project]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-docs] 📊 java-docs: 316 BPE tokens [chars/4: 360] (compact ✓), 1 sections, 0 code blocks
[java-docs]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-docs]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-junit] 📊 java-junit: 695 BPE tokens [chars/4: 746] (detailed ✓), 8 sections, 0 code blocks
[java-junit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-junit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-springboot] 📊 java-springboot: 855 BPE tokens [chars/4: 1,034] (detailed ✓), 10 sections, 0 code blocks
[java-springboot]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-springboot]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-mcp-server-generator] 📊 java-mcp-server-generator: 4,637 BPE tokens [chars/4: 5,506] (standard ~), 28 sections, 19 code blocks
�[31m❌ [java-mcp-server-generator] SKILL.md body is 752 lines — maximum is 500. Move detailed reference material to separate files.�[0m
[java-mcp-server-generator]    ⚠  Skill is 4,637 BPE tokens (chars/4 estimate: 5,506) — approaching "comprehensive" range where gains diminish.
[kotlin-mcp-server-generator] 📊 kotlin-mcp-server-generator: 2,456 BPE tokens [chars/4: 2,672] (detailed ✓), 29 sections, 13 code blocks
[mcp-create-adaptive-cards] 📊 mcp-create-adaptive-cards: 2,949 BPE tokens [chars/4: 3,136] (standard ~), 33 sections, 22 code blocks
�[31m❌ [mcp-create-adaptive-cards] SKILL.md body is 528 lines — maximum is 500. Move detailed reference material to separate files.�[0m
[mcp-create-adaptive-cards]    ⚠  Skill is 2,949 BPE tokens (chars/4 estimate: 3,136) — approaching "comprehensive" range where gains diminish.
[mcp-create-declarative-agent] 📊 mcp-create-declarative-agent: 1,978 BPE tokens [chars/4: 2,036] (detailed ✓), 30 sections, 12 code blocks
[mcp-deploy-manage-agents] 📊 mcp-deploy-manage-agents: 2,036 BPE tokens [chars/4: 2,471] (detailed ✓), 49 sections, 2 code blocks
[napkin] 📊 napkin: 1,649 BPE tokens [chars/4: 1,784] (detailed ✓), 12 sections, 4 code blocks
[noob-mode] 📊 noob-mode: 2,604 BPE tokens [chars/4: 2,765] (standard ~), 13 sections, 9 code blocks
[noob-mode]    ⚠  Skill is 2,604 BPE tokens (chars/4 estimate: 2,765) — approaching "comprehensive" range where gains diminish.
[openapi-to-application-code] 📊 openapi-to-application-code: 931 BPE tokens [chars/4: 1,144] (detailed ✓), 11 sections, 1 code blocks
[openapi-to-application-code] 📊 openapi-to-application-code: 931 BPE tokens [chars/4: 1,144] (detailed ✓), 11 sections, 1 code blocks
[openapi-to-application-code] 📊 openapi-to-application-code: 931 BPE tokens [chars/4: 1,144] (detailed ✓), 11 sections, 1 code blocks
[openapi-to-application-code] 📊 openapi-to-application-code: 931 BPE tokens [chars/4: 1,144] (detailed ✓), 11 sections, 1 code blocks
[openapi-to-application-code] 📊 openapi-to-application-code: 931 BPE tokens [chars/4: 1,144] (detailed ✓), 11 sections, 1 code blocks
[creating-oracle-to-postgres-master-migration-plan] 📊 creating-oracle-to-postgres-master-migration-plan: 755 BPE tokens [chars/4: 790] (detailed ✓), 6 sections, 2 code blocks
[creating-oracle-to-postgres-migration-bug-report] 📊 creating-oracle-to-postgres-migration-bug-report: 473 BPE tokens [chars/4: 567] (detailed ✓), 6 sections, 0 code blocks
[creating-oracle-to-postgres-migration-bug-report]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[creating-oracle-to-postgres-migration-bug-report]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[creating-oracle-to-postgres-migration-integration-tests] 📊 creating-oracle-to-postgres-migration-integration-tests: 605 BPE tokens [chars/4: 760] (detailed ✓), 4 sections, 1 code blocks
[creating-oracle-to-postgres-migration-integration-tests]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[migrating-oracle-to-postgres-stored-procedures] 📊 migrating-oracle-to-postgres-stored-procedures: 493 BPE tokens [chars/4: 576] (detailed ✓), 2 sections, 1 code blocks
[migrating-oracle-to-postgres-stored-procedures]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[planning-oracle-to-postgres-migration-integration-testing] 📊 planning-oracle-to-postgres-migration-integration-testing: 438 BPE tokens [chars/4: 547] (detailed ✓), 4 sections, 1 code blocks
[planning-oracle-to-postgres-migration-integration-testing]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[reviewing-oracle-to-postgres-migration] 📊 reviewing-oracle-to-postgres-migration: 605 BPE tokens [chars/4: 762] (detailed ✓), 5 sections, 2 code blocks
[scaffolding-oracle-to-postgres-migration-test-project] 📊 scaffolding-oracle-to-postgres-migration-test-project: 527 BPE tokens [chars/4: 632] (detailed ✓), 3 sections, 1 code blocks
[scaffolding-oracle-to-postgres-migration-test-project]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[sponsor-finder] 📊 sponsor-finder: 3,085 BPE tokens [chars/4: 2,991] (standard ~), 25 sections, 6 code blocks
[sponsor-finder]    ⚠  Skill is 3,085 BPE tokens (chars/4 estimate: 2,991) — approaching "comprehensive" range where gains diminish.
[phoenix-cli] 📊 phoenix-cli: 1,615 BPE tokens [chars/4: 1,563] (detailed ✓), 13 sections, 12 code blocks
[phoenix-cli]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[phoenix-evals] 📊 phoenix-evals: 1,089 BPE tokens [chars/4: 1,126] (detailed ✓), 5 sections, 0 code blocks
[phoenix-evals]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[phoenix-evals]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[phoenix-tracing] 📊 phoenix-tracing: 1,488 BPE tokens [chars/4: 1,690] (detailed ✓), 17 sections, 1 code blocks
[php-mcp-server-generator] 📊 php-mcp-server-generator: 2,723 BPE tokens [chars/4: 2,697] (standard ~), 37 sections, 25 code blocks
�[31m❌ [php-mcp-server-generator] SKILL.md body is 518 lines — maximum is 500. Move detailed reference material to separate files.�[0m
[php-mcp-server-generator]    ⚠  Skill is 2,723 BPE tokens (chars/4 estimate: 2,697) — approaching "comprehensive" range where gains diminish.
[polyglot-test-agent] 📊 polyglot-test-agent: 1,611 BPE tokens [chars/4: 1,676] (detailed ✓), 22 sections, 5 code blocks
[power-apps-code-app-scaffold] 📊 power-apps-code-app-scaffold: 1,424 BPE tokens [chars/4: 1,786] (detailed ✓), 18 sections, 2 code blocks
[power-bi-dax-optimization] 📊 power-bi-dax-optimization: 1,114 BPE tokens [chars/4: 1,390] (detailed ✓), 18 sections, 6 code blocks
[power-bi-model-design-review] 📊 power-bi-model-design-review: 2,126 BPE tokens [chars/4: 2,782] (detailed ✓), 28 sections, 17 code blocks
[power-bi-performance-troubleshooting] 📊 power-bi-performance-troubleshooting: 2,078 BPE tokens [chars/4: 2,591] (detailed ✓), 31 sections, 19 code blocks
[power-bi-report-design-consultation] 📊 power-bi-report-design-consultation: 2,357 BPE tokens [chars/4: 2,723] (detailed ✓), 22 sections, 13 code blocks
[mcp-copilot-studio-server-generator] 📊 mcp-copilot-studio-server-generator: 942 BPE tokens [chars/4: 1,063] (detailed ✓), 6 sections, 2 code blocks
[power-platform-mcp-connector-suite] 📊 power-platform-mcp-connector-suite: 1,348 BPE tokens [chars/4: 1,590] (detailed ✓), 19 sections, 1 code blocks
[power-platform-mcp-connector-suite]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[breakdown-epic-arch] 📊 breakdown-epic-arch: 601 BPE tokens [chars/4: 712] (detailed ✓), 12 sections, 0 code blocks
[breakdown-epic-arch]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-epic-arch]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[breakdown-epic-pm] 📊 breakdown-epic-pm: 509 BPE tokens [chars/4: 575] (detailed ✓), 13 sections, 0 code blocks
[breakdown-epic-pm]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-epic-pm]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[breakdown-feature-implementation] 📊 breakdown-feature-implementation: 966 BPE tokens [chars/4: 1,189] (detailed ✓), 9 sections, 2 code blocks
[breakdown-feature-implementation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[breakdown-feature-prd] 📊 breakdown-feature-prd: 557 BPE tokens [chars/4: 620] (detailed ✓), 13 sections, 0 code blocks
[breakdown-feature-prd]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-feature-prd]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-github-issues-feature-from-implementation-plan] 📊 create-github-issues-feature-from-implementation-plan: 191 BPE tokens [chars/4: 237] (compact ✓), 4 sections, 0 code blocks
[create-github-issues-feature-from-implementation-plan]    ⚠  Skill is only 191 BPE tokens (chars/4 estimate: 237) — may be too sparse to provide actionable guidance.
[create-github-issues-feature-from-implementation-plan]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[create-implementation-plan] 📊 create-implementation-plan: 1,390 BPE tokens [chars/4: 1,575] (detailed ✓), 22 sections, 1 code blocks
[create-implementation-plan]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-technical-spike] 📊 create-technical-spike: 1,358 BPE tokens [chars/4: 1,643] (detailed ✓), 33 sections, 1 code blocks
[update-implementation-plan] 📊 update-implementation-plan: 1,400 BPE tokens [chars/4: 1,595] (detailed ✓), 22 sections, 1 code blocks
[update-implementation-plan]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[python-mcp-server-generator] 📊 python-mcp-server-generator: 871 BPE tokens [chars/4: 990] (detailed ✓), 13 sections, 0 code blocks
[python-mcp-server-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[roundup] 📊 roundup: 2,219 BPE tokens [chars/4: 2,591] (detailed ✓), 28 sections, 0 code blocks
[roundup]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[roundup]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[roundup-setup] 📊 roundup-setup: 3,202 BPE tokens [chars/4: 3,669] (standard ~), 18 sections, 1 code blocks
[roundup-setup]    ⚠  Skill is 3,202 BPE tokens (chars/4 estimate: 3,669) — approaching "comprehensive" range where gains diminish.
[ruby-mcp-server-generator] 📊 ruby-mcp-server-generator: 3,459 BPE tokens [chars/4: 3,631] (standard ~), 37 sections, 24 code blocks
�[31m❌ [ruby-mcp-server-generator] SKILL.md body is 656 lines — maximum is 500. Move detailed reference material to separate files.�[0m
[ruby-mcp-server-generator]    ⚠  Skill is 3,459 BPE tokens (chars/4 estimate: 3,631) — approaching "comprehensive" range where gains diminish.
[rust-mcp-server-generator] 📊 rust-mcp-server-generator: 3,088 BPE tokens [chars/4: 3,190] (standard ~), 31 sections, 24 code blocks
�[31m❌ [rust-mcp-server-generator] SKILL.md body is 573 lines — maximum is 500. Move detailed reference material to separate files.�[0m
[rust-mcp-server-generator]    ⚠  Skill is 3,088 BPE tokens (chars/4 estimate: 3,190) — approaching "comprehensive" range where gains diminish.
[ai-prompt-engineering-safety-review] 📊 ai-prompt-engineering-safety-review: 2,185 BPE tokens [chars/4: 2,540] (detailed ✓), 19 sections, 0 code blocks
[ai-prompt-engineering-safety-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[structured-autonomy-generate] 📊 structured-autonomy-generate: 921 BPE tokens [chars/4: 1,033] (detailed ✓), 10 sections, 3 code blocks
[structured-autonomy-implement] 📊 structured-autonomy-implement: 209 BPE tokens [chars/4: 272] (compact ✓), 0 sections, 0 code blocks
[structured-autonomy-implement]    ⚠  No section headers — agents navigate structured documents better.
[structured-autonomy-implement]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[structured-autonomy-implement]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[structured-autonomy-plan] 📊 structured-autonomy-plan: 677 BPE tokens [chars/4: 759] (detailed ✓), 9 sections, 1 code blocks
[swift-mcp-server-generator] 📊 swift-mcp-server-generator: 3,781 BPE tokens [chars/4: 4,374] (standard ~), 30 sections, 18 code blocks
�[31m❌ [swift-mcp-server-generator] SKILL.md body is 665 lines — maximum is 500. Move detailed reference material to separate files.�[0m
[swift-mcp-server-generator]    ⚠  Skill is 3,781 BPE tokens (chars/4 estimate: 4,374) — approaching "comprehensive" range where gains diminish.
[create-technical-spike] 📊 create-technical-spike: 1,358 BPE tokens [chars/4: 1,643] (detailed ✓), 33 sections, 1 code blocks
[ai-prompt-engineering-safety-review] 📊 ai-prompt-engineering-safety-review: 2,185 BPE tokens [chars/4: 2,540] (detailed ✓), 19 sections, 0 code blocks
[ai-prompt-engineering-safety-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-nunit] 📊 csharp-nunit: 636 BPE tokens [chars/4: 711] (detailed ✓), 8 sections, 0 code blocks
[csharp-nunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-nunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-junit] 📊 java-junit: 695 BPE tokens [chars/4: 746] (detailed ✓), 8 sections, 0 code blocks
[java-junit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-junit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[playwright-explore-website] 📊 playwright-explore-website: 140 BPE tokens [chars/4: 171] (compact ✓), 2 sections, 0 code blocks
[playwright-explore-website]    ⚠  Skill is only 140 BPE tokens (chars/4 estimate: 171) — may be too sparse to provide actionable guidance.
[playwright-explore-website]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[playwright-generate-test] 📊 playwright-generate-test: 178 BPE tokens [chars/4: 220] (compact ✓), 2 sections, 0 code blocks
[playwright-generate-test]    ⚠  Skill is only 178 BPE tokens (chars/4 estimate: 220) — may be too sparse to provide actionable guidance.
[playwright-generate-test]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[playwright-generate-test]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[typescript-mcp-server-generator] 📊 typescript-mcp-server-generator: 759 BPE tokens [chars/4: 925] (detailed ✓), 12 sections, 0 code blocks
[typescript-mcp-server-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[typespec-api-operations] 📊 typespec-api-operations: 2,327 BPE tokens [chars/4: 2,287] (detailed ✓), 35 sections, 16 code blocks
[typespec-api-operations]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[typespec-create-agent] 📊 typespec-create-agent: 672 BPE tokens [chars/4: 737] (detailed ✓), 5 sections, 1 code blocks
[typespec-create-api-plugin] 📊 typespec-create-api-plugin: 979 BPE tokens [chars/4: 1,013] (detailed ✓), 11 sections, 9 code blocks
[winui3-migration-guide] 📊 winui3-migration-guide: 2,196 BPE tokens [chars/4: 2,226] (detailed ✓), 18 sections, 13 code blocks
{Ansi.Red}Skill spec conformance failures — fix the errors above.{Ansi.Reset}
�[31m❌ Duplicate skill name 'azure-resource-health-diagnose' found in 'plugins/devops-oncall/skills/azure-resource-health-diagnose' (first seen in 'plugins/azure-cloud-development/skills/azure-resource-health-diagnose')�[0m
�[31m❌ Duplicate skill name 'openapi-to-application-code' found in 'plugins/openapi-to-application-go/skills/openapi-to-application-code' (first seen in 'plugins/openapi-to-application-csharp-dotnet/skills/openapi-to-application-code')�[0m
�[31m❌ Duplicate skill name 'openapi-to-application-code' found in 'plugins/openapi-to-application-java-spring-boot/skills/openapi-to-application-code' (first seen in 'plugins/openapi-to-application-csharp-dotnet/skills/openapi-to-application-code')�[0m
�[31m❌ Duplicate skill name 'openapi-to-application-code' found in 'plugins/openapi-to-application-nodejs-nestjs/skills/openapi-to-application-code' (first seen in 'plugins/openapi-to-application-csharp-dotnet/skills/openapi-to-application-code')�[0m
�[31m❌ Duplicate skill name 'openapi-to-application-code' found in 'plugins/openapi-to-application-python-fastapi/skills/openapi-to-application-code' (first seen in 'plugins/openapi-to-application-csharp-dotnet/skills/openapi-to-application-code')�[0m
�[31m❌ Duplicate skill name 'create-technical-spike' found in 'plugins/technical-spike/skills/create-technical-spike' (first seen in 'plugins/project-planning/skills/create-technical-spike')�[0m
�[31m❌ Duplicate skill name 'ai-prompt-engineering-safety-review' found in 'plugins/testing-automation/skills/ai-prompt-engineering-safety-review' (first seen in 'plugins/security-best-practices/skills/ai-prompt-engineering-safety-review')�[0m
�[31m❌ Duplicate skill name 'csharp-nunit' found in 'plugins/testing-automation/skills/csharp-nunit' (first seen in 'plugins/csharp-dotnet-development/skills/csharp-nunit')�[0m
�[31m❌ Duplicate skill name 'java-junit' found in 'plugins/testing-automation/skills/java-junit' (first seen in 'plugins/java-development/skills/java-junit')�[0m
�[31m❌ Duplicate skill name 'playwright-explore-website' found in 'plugins/testing-automation/skills/playwright-explore-website' (first seen in 'plugins/frontend-web-dev/skills/playwright-explore-website')�[0m
�[31m❌ Duplicate skill name 'playwright-generate-test' found in 'plugins/testing-automation/skills/playwright-generate-test' (first seen in 'plugins/frontend-web-dev/skills/playwright-generate-test')�[0m

Note: Errors were found. These are currently reported as warnings and do not block merge. Please review and address when possible.

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