SEA-1.2-COMPLETE

## Summary Built the SEA Embedding Indexer at `[home-path]`. The script embeds all 13 SEA skill entity SKILL.md files via Mac4 Ollama all-minilm model (384-dim) and caches the result as a 13x384 numpy array at `[home-path]`. Includes `load_embeddings()` utility, `query_similar()` for runtime skill matching, and cosine similarity validation tests — all passing. ## Changes - File: `[home-path]` — created (315 lines) - `extract_skill_text()` — reads SKILL.md, extracts YAML description + body with category label - `call_ollama_embedding()` — calls Ollama API at `http://[ip]:11434/api/embeddings` - `build_embeddings()` — embeds all 13 skills, returns 13x384 matrix - `save_cache()` / `load_embeddings()` — .npz I/O with metadata - `cosine_similarity()` — pairwise vector comparison - `query_similar()` — runtime skill retrieval (embed query → rank against cache) - `run_similarity_tests()` — validates related (>0.5) and unrelated (<0.4) thresholds - CLI modes: default (build), `--test`, `--info`, `--query "text"` - File: `[home-path]` — created (63.3 KB) **Related pairs (>0.5):** | Pair | Score | Status | |------|-------|--------| | phi:veritas ↔ phi:paradox | 0.5485 | PASS | | phi:paradox ↔ phi:metaphysical | 0.6363 | PASS | | art:creative ↔ art:divergent | 0.6680 | PASS | | art:convergent ↔ art:divergent | 0.7747 | PASS | | art:creative ↔ art:synthesis | 0.7902 | PASS | | nav:nonlinear ↔ nav:perspective | 0.5323 | PASS | **Unrelated pairs (<0.4):** | Pair | Score | Status | |------|-------|--------| | phi:veritas ↔ art:dj | 0.2937 | PASS | | phi:metaphysical ↔ art:snark | 0.2201 | PASS | | art:movement ↔ phi:paradox | 0.2703 | PASS | | nav:nonlinear ↔ art:snark | 0.1723 | PASS | ### Query Validation Query "What is truth and wisdom?" → #1 phi:veritas (0.5049) ✅