Add tribal knowledge base and /executorch-kb skill (#19003)#19003
Add tribal knowledge base and /executorch-kb skill (#19003)#19003meta-codesync[bot] merged 1 commit intopytorch:mainfrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19003
Note: Links to docs will display an error until the docs builds have been completed. ⏳ 9 Pending, 2 Unrelated FailuresAs of commit 4028985 with merge base 1d37abd ( FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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| category: DEBUGGING | ||
| backends: [Arm] | ||
| last_validated: 2026-04-15 | ||
| source_issues: [1004, 1110, 1161, 1163, 1230, 11913, 11999, 12237, 10899, 12270, 12959, 12991, 13022, 13399, 13557, 13842, 13901, 15805, 15870, 16090, 16225, 16374, 16426, 16541, 16629, 16739, 16779, 16784, 16864, 16899, 16902, 17241, 17397, 17437, 17489, 17667, 17668, 17753, 17902, 18306, 18319, 18491, 18500, 18873] |
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When does this list get "refreshed"?
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Same as the date above, i ran resync on the 15th.
Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary: Pull Request resolved: pytorch#19003 Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f ExecuTorch maintainers and backend owners repeatedly answer the same questions across GitHub issues. Tribal knowledge (backend quirks, quantization recipes, SoC constraints, debugging methodology) lives in scattered threads and people's heads. WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99 discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN, XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting topics (export, quantization, troubleshooting). Components: - .wiki/ — 20 articles (4,284 lines), 7 rules files (436 lines), synthesis guide, and version tracking - .claude/skills/executorch-kb/ — /executorch-kb skill with query, lint, save, resync, stats - All file paths and imports verified against codebase - Official doc URLs for synthesis-time and query-time validation | Backend | Articles | Lines | | --- | --- | --- | | QNN | 5 | 1,170 | | XNNPACK | 2 | 436 | | Vulkan | 2 | 384 | | CoreML | 1 | 276 | | Arm | 2 | 550 | | Cadence | 1 | 124 | | Export | 2 | 377 | | Quantization | 2 | 329 | | Troubleshooting | 3 | 638 | | Total | 20 | 4,284 | Usage: /executorch-kb <query> Search (e.g., /executorch-kb QNN V68 layer_norm error) Prototyped with Claude Code. Reviewed By: psiddh Differential Revision: D101099089
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Summary:
Inspired from LLMWiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f
ExecuTorch maintainers and backend owners repeatedly answer the same questions
across GitHub issues. Tribal knowledge (backend quirks, quantization
recipes, SoC constraints, debugging methodology) lives in scattered
threads and people's heads.
WHAT: A synthesized knowledge base from 2,200+ GitHub issues and 99
discussions, accessible via the /executorch-kb Claude Code skill. Covers QNN,
XNNPACK, Vulkan, CoreML, Arm, and Cadence backends plus cross-cutting
topics (export, quantization, troubleshooting).
Components:
synthesis guide, and version tracking
Usage:
/executorch-kb Search (e.g., /executorch-kb QNN V68 layer_norm error)
Prototyped with Claude Code.
Reviewed By: psiddh
Differential Revision: D101099089