transformer-attention
VectifyAI/OpenKBUse when reasoning about Transformer self-attention, multi-head attention, positional encoding, masked decoder attention, or why attention replaced…
Scores out of 100 · grade B+
2026-08-09Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score92/100
- no commits in the last 12 weeks
Adopted
20% of the score48/100
- 3,281 stars on the source repo.
Documented
15% of the score57/100
- No usage example or code block.
- 684-word body.
- Ships 1 bundled file.
Install
npx skills add VectifyAI/OpenKB/transformer-attentionWhat it says it does
Use when reasoning about Transformer self-attention, multi-head attention, positional encoding, masked decoder attention, or why attention replaced recurrence/convolutions in sequence models; not for generic NLP or unrelated attention topics.
Also in VectifyAI/OpenKB
| Artifact | Score | What the check found | Type | Reach | Last commit |
|---|---|---|---|---|---|
| openkb-html-criticVectifyAI/OpenKB | clean | Skill | 3.3k stars | 18 days ago | |
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| vectifyVectifyAI/OpenKB | clean | Marketplace | 3.3k stars | 18 days ago |
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