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youngryankim/superskillret-index-fullcontext

superskillret prebuilt index — full-context Prebuilt embedding index for the superskillret Claude Code plugin. Unlike the default index (which embeds only name + description), this build encodes the full skill body (name + description + body) up to max_seq_length=32768 tokens. Larger index, much higher recall on skills whose name/description don't capture every keyword in the body. Version: 1 Corpus: ThakiCloud/SKILLRET (train+test) Encoder: ThakiCloud/SkillRet-Embedding-0.6B… See the full description on the dataset page: https://huggingface.co/datasets/youngryankim/superskillret-index-fullcontext.

sourceHugging Facemitupdated 5mo agoView on Hugging Face

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superskillret prebuilt index — full-context

Prebuilt embedding index for the superskillret Claude Code plugin.

Unlike the default index (which embeds only name + description), this build encodes the full skill body (name + description + body) up to max_seq_length=32768 tokens. Larger index, much higher recall on skills whose name/description don't capture every keyword in the body.

—Version: 1
—Corpus: `ThakiCloud/SKILLRET` (train+test)
—Encoder: `ThakiCloud/SkillRet-Embedding-0.6B`
—Skills indexed: 16783
—Embedding dim: 1024
—Encoded text: name + description + body (truncated to 32768 tokens)
—Normalized: yes (inner product = cosine similarity)

Files

File	Description
`skill_embeddings.npy`	FP16 numpy array of shape `(16783, 1024)`
`skill_embeddings_int8.npy`	INT8 per-row quantized array of shape `(16783, 1024)`
`skill_embeddings_scale.npy`	float32 per-row scale of shape `(16783,)` — reconstruct as `(int8 / 127) * scale`
`skill_metadata.jsonl`	one JSON record per row, aligned with embeddings (includes `name`, `description`, `body`, `source_url`)
`VERSION`	integer version tag; bumped when the corpus or encoder changes

Usage

python

from huggingface_hub import snapshot_download
snapshot_download(
    repo_id="youngryankim/superskillret-index-fullcontext",
    repo_type="dataset",
    local_dir="cache/",
)

Downstream consumers should check VERSION against their cached copy before reusing local files.