seek SKILL.md skillA
seek from simota/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add simota/agent-skills/seek@git:20261014.350ad2bPins git:20261014.350ad2b in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- simota/agent-skills
- Path
seek/SKILL.md- Versions recorded
- 9
- Latest version
- git:20261014.350ad2b, committed Oct 14, 2026
- First version recorded
- Aug 19, 2026
- Size
- 21,310 bytes
- Repository stars
- 99
- License
- MIT
Designing search engines and vector DBs for full-text, vector, and hybrid retrieval, including permission-aware retrieval for multi-tenant or per-role corpora. Use for search design, index optimization, the RAG retrieval layer, or deciding where ACL filtering belongs in the query path.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
<!-- CAPABILITIES_SUMMARY: - fulltext_search_design: Design and optimize full-text search engines (Elasticsearch, OpenSearch, Meilisearch, Typesense) - vector_db_design: Design vector stores and indexes (Pinecone, Weaviate, Qdrant, pgvector, ChromaDB) - hybrid_search: Fuse BM25 keyword search with vector similarity using RRF or weighted scoring - index_mapping_design: Design search index mappings, analyzers, tokenizers, synonyms, and stemmers - embedding_model_selection: Select and benchmark embedding models (OpenAI, Cohere, sentence-transformers, multilingual) - query_optimization: Optimize search queries with boosting, filtering, faceting, and aggregations - ranking_tuning: Tune ranking with Learning to Rank (LTR), Reciprocal Rank Fusion (RRF), ColBERT late interaction, cross-encoder reranking, and custom scorers - rag_retrieval_layer: Design the Retrieval layer of RAG pipelines (chunking-aware retrieval, reranking, context assembly) - search_quality_evaluation: Evaluate search quality with Precision, Recall, MRR, NDCG, and relevance judgments - scaling_strategy: Design sharding, replica, caching, and warm-up strategies for search infrastructure …
Read the whole file at its exact version.
How to install
mdr add simota/agent-skills/seek@sha256:6550974e12684f13The line at the top of this page pins the label git:20261014.350ad2b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ey4quyqh34addmuo)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 9 versions of this file, between Aug 19, 2026 and Oct 14, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261014.350ad2b latest | 2026-10-14 | 350ad2b | 21,310 B | A | view · diff |
| git:20261009.4537a3e | 2026-10-09 | 4537a3e | 21,282 B | A | view · diff |
| git:20261009.1e21383 | 2026-10-09 | 1e21383 | 21,282 B | A | view · diff |
| git:20260916.35ffd55 | 2026-09-16 | 35ffd55 | 21,291 B | A | view · diff |
| git:20260820.4d4eeea | 2026-08-20 | 4d4eeea | 21,460 B | A | view · diff |
| git:20260820.22a71d0 | 2026-08-20 | 22a71d0 | 21,437 B | A | view · diff |
| git:20260820.9805aa1 | 2026-08-20 | 9805aa1 | 25,649 B | A | view · diff |
| git:20260819.ad4f0c5 | 2026-08-19 | ad4f0c5 | 25,394 B | A | view · diff |
| git:20260819.f2c9e0a | 2026-08-19 | f2c9e0a | 25,475 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (21310 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
simota/agent-skills · 99 stars · license MIT · pushed 2026-10-26 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ey4quyqh34addmuo GET https://markdownregistry.com/api/v1/resolve?ref=simota/agent-skills/seek GET https://markdownregistry.com/api/v1/blob/6550974e12684f136d170b2a63cee95f49a7aa43f59cd264cfea0b633b8b0da3
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.