Mirror full-context index v2 from youngryankim/superskillret-index-fullcontext (name+description+body, +INT8 quantized)

README.md

@@ -6,15 +6,21 @@ tags:
   - claude-code
 ---
 
-# superskillret prebuilt index
+# superskillret prebuilt index — full-context
 
-Prebuilt embedding index for the [superskillret](../superskillret) Claude Code plugin.
+Prebuilt embedding index for the [superskillret](https://github.com/ThakiCloud/SUPERSKILLRET) Claude Code plugin.
 
-- **Version:** 1
+Unlike the v1 index (which embedded only `name + description`), v2 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:** 2
 - **Corpus:** [`ThakiCloud/SKILLRET`](https://huggingface.co/datasets/ThakiCloud/SKILLRET) (`train+test`)
 - **Encoder:** [`ThakiCloud/SkillRet-Embedding-0.6B`](https://huggingface.co/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
@@ -22,16 +28,20 @@ Prebuilt embedding index for the [superskillret](../superskillret) Claude Code p
 | File | Description |
 |---|---|
 | `skill_embeddings.npy` | FP16 numpy array of shape `(16783, 1024)` |
-| `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 |
+| `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 (`name`, `description`, `body`, `source_url`, `namespace`, `repo`, `id`) |
+| `VERSION` | integer version tag; bumped when the corpus, encoder, or encoded-text scheme changes |
 
 ## Usage
 
 ```python
 from huggingface_hub import snapshot_download
-snapshot_download(repo_id="youngryankim/superskillret-index",
-                  repo_type="dataset",
-                  local_dir="cache/")
+snapshot_download(
+    repo_id="ThakiCloud/superskillret-index",
+    repo_type="dataset",
+    local_dir="cache/",
+)
 ```
 
 Downstream consumers should check `VERSION` against their cached copy before reusing local files.

VERSION

@@ -1 +1 @@
-1
+2

skill_embeddings.npy

@@ -1,3 +1,3 @@
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+oid sha256:d2de80a827decee01af048685a0cfc99c67ace492c397ea3672e7299632a1ba8
 size 34371712

skill_embeddings_int8.npy

@@ -0,0 +1,3 @@
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+oid sha256:8e383cdb7a122f06ce5735f7e981ab44294a75e80011f5999837cce407d69709
+size 17185920

skill_embeddings_scale.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5503b7e533bbc2e006ed5d62169f10246100decc5b632bfd0366be6ed6a5fc0
+size 67260