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Add tribal knowledge base and /executorch-kb skill (#19003)#19003

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meta-codesync[bot] merged 1 commit intopytorch:mainfrom
abhinaykukkadapu:export-D101099089
Apr 21, 2026
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Add tribal knowledge base and /executorch-kb skill (#19003)#19003
meta-codesync[bot] merged 1 commit intopytorch:mainfrom
abhinaykukkadapu:export-D101099089

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@abhinaykukkadapu abhinaykukkadapu commented Apr 20, 2026

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:

  • .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 Search (e.g., /executorch-kb QNN V68 layer_norm error)

Prototyped with Claude Code.

Reviewed By: psiddh

Differential Revision: D101099089

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pytorch-bot Bot commented Apr 20, 2026

🔗 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 Failures

As of commit 4028985 with merge base 1d37abd (image):

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@meta-cla meta-cla Bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Apr 20, 2026
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meta-codesync Bot commented Apr 20, 2026

@abhinaykukkadapu has exported this pull request. If you are a Meta employee, you can view the originating Diff in D101099089.

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This PR needs a release notes: label

If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

To add a label, you can comment to pytorchbot, for example
@pytorchbot label "release notes: none"

For more information, see
https://github.com/pytorch/pytorch/wiki/PyTorch-AutoLabel-Bot#why-categorize-for-release-notes-and-how-does-it-work.

abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
@meta-codesync meta-codesync Bot changed the title Add tribal knowledge base and /executorch-kb skill Add tribal knowledge base and /executorch-kb skill (#19003) Apr 20, 2026
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
@abhinaykukkadapu abhinaykukkadapu force-pushed the export-D101099089 branch 2 times, most recently from 1c53598 to 7c68ff9 Compare April 20, 2026 20:10
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
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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@digantdesai digantdesai Apr 20, 2026

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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.

abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 20, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 21, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 21, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 21, 2026
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
abhinaykukkadapu added a commit to abhinaykukkadapu/executorch that referenced this pull request Apr 21, 2026
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
@meta-codesync meta-codesync Bot merged commit 2739129 into pytorch:main Apr 21, 2026
168 of 174 checks passed
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3 participants