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Tensor Grep Semantic Search Campaign

Agent skill
1 skill

Use when building, extending, or reviewing tensor-grep's APPROVED local hybrid semantic search — BM25 + CPU dense embeddings fused with Reciprocal Rank Fusion (RRF), no API key, no GPU (roadmap item 1). Load before adding a dense/embedding leg, RRF fusion, a tg index command, or changing tg search --rank / --bm25. Covers the decision-gated build phases with exact commands + expected gate numbers, the ranked solution menu (Semble / ripvec / BM25-only) with derivation obligations, the retrieval-quality + editor-plane + token-economy promotion gates, the Backend Fail-Closed Contract for the dense leg, fenced-off wrong paths (no API-key embeddings, no GPU dependency, do not break --format rg / --json / --ndjson semantics), and routing promotion through change-control. STATUS as of 2026-07-08, v1.49.3: the dense leg + RRF fusion described here as the target architecture (Candidate 1 / the Semble pattern) SHIPPED as tg search --semantic (retrievaldense.py + retrievalfusion.py, default-OFF, gated on the semantic extra) — this skill's Phases 0-3 are now historical/reference for HOW it was built; see the STATUS note below before assuming any "not built yet" claim in Sections 1-2.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryContent & writingStars0

About this skill

Use when building, extending, or reviewing tensor-grep's APPROVED local hybrid semantic search — BM25 + CPU dense embeddings fused with Reciprocal Rank Fusion (RRF), no API key, no GPU (roadmap item 1). Load before adding a dense/embedding leg, RRF fusion, a tg index command, or changing tg search --rank / --bm25. Covers the decision-gated build phases with exact commands + expected gate numbers, the ranked solution menu (Semble / ripvec / BM25-only) with derivation obligations, the retrieval-quality + editor-plane + token-economy promotion gates, the Backend Fail-Closed Contract for the dense leg, fenced-off wrong paths (no API-key embeddings, no GPU dependency, do not break --format rg / --json / --ndjson semantics), and routing promotion through change-control. STATUS as of 2026-07-08, v1.49.3: the dense leg + RRF fusion described here as the target architecture (Candidate 1 / the Semble pattern) SHIPPED as tg search --semantic (retrievaldense.py + retrievalfusion.py, default-OFF, gated on the semantic extra) — this skill's Phases 0-3 are now historical/reference for HOW it was built; see the STATUS note below before assuming any "not built yet" claim in Sections 1-2.

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 999ba66c524ffa3ac88460a6c3a12aba311869b6705119f3ec8b0cc1ffbb8653

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About this listing

Category
Content & writing
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Tensor Grep Semantic Search Campaign | Agent Skills Atlas