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  1. .gitattributes +1 -0
  2. README.md +37 -0
  3. VERSION +1 -0
  4. skill_embeddings.npy +3 -0
  5. skill_metadata.jsonl +3 -0
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  # Video files - compressed
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  # Video files - compressed
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+ ---
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+ license: mit
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+ tags:
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+ - embeddings
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+ - skill-retrieval
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+ - claude-code
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+ ---
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+
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+ # superskillret prebuilt index
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+
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+ Prebuilt embedding index for the [superskillret](../superskillret) Claude Code plugin.
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+
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+ - **Version:** 1
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+ - **Corpus:** [`ThakiCloud/SKILLRET`](https://huggingface.co/datasets/ThakiCloud/SKILLRET) (`train+test`)
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+ - **Encoder:** [`ThakiCloud/SkillRet-Embedding-0.6B`](https://huggingface.co/ThakiCloud/SkillRet-Embedding-0.6B)
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+ - **Skills indexed:** 16783
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+ - **Embedding dim:** 1024
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+ - **Normalized:** yes (inner product = cosine similarity)
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+
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+ ## Files
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+
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+ | File | Description |
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+ |---|---|
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+ | `skill_embeddings.npy` | FP16 numpy array of shape `(16783, 1024)` |
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+ | `skill_metadata.jsonl` | one JSON record per row, aligned with embeddings (includes `name`, `description`, `body`, `source_url`) |
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+ | `VERSION` | integer version tag; bumped when the corpus or encoder changes |
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+
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+ ## Usage
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ snapshot_download(repo_id="youngryankim/superskillret-index",
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+ repo_type="dataset",
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+ local_dir="cache/")
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+ ```
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+
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+ Downstream consumers should check `VERSION` against their cached copy before reusing local files.
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