search-relevance-engineering
v0.1.2Search & Relevance Engineering specialist team — agents (search-relevance-lead, relevance-tuning-analyst, indexing-mapping-specialist, query-performance-specialist), skills, templates, commands, an advisory hook, best-practice rules, and a research-grounded knowledge bank. A search team for a relevance engineer or platform lead accountable for search quality, latency, and conversion — it measures relevance with NDCG/MRR, treats analyzer/mapping decisions as relevance decisions, builds a judgment list before tuning, and validates online with A/B. Inherits ravenclaude-core protocols.
By Matt CorbettLicense: MIT7 GitHub starsUpdated last week
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 5 skill or MCP entries
- Source updated
- Sep 15, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install search-relevance-engineering for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install search-relevance-engineering@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/mcorbett51090/RavenClaudeClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/search-relevance-engineering/.
Plugin files
├── .claude-plugin/plugin.json├── skills/build-judgment-list/SKILL.md├── skills/fix-analyzer/SKILL.md├── skills/measure-relevance/SKILL.md├── skills/set-latency-budget/SKILL.md└── skills/validate-online/SKILL.md
Included Skills5
Build graded relevance judgments (explicit or click-derived) and an offline harness before tuning. Reach for this when there's no eval.
Root-cause a relevance bug in tokenization/analysis/mapping before touching the ranking formula. Reach for this on a no-match or wrong-match bug.
Compute NDCG, MRR, and precision@k against the judgment list with a baseline. Reach for this before any tuning.
Set a p95 latency budget, decompose per-stage latency, and tune relevance within it. Reach for this on a speed/capacity question.
Confirm an offline relevance win with an online A/B on CTR/conversion before declaring victory. Reach for this after an offline gain.
Plugin manifests1
{
"name": "search-relevance-engineering",
"version": "0.1.2",
"description": "Search & Relevance Engineering specialist team — agents (search-relevance-lead, relevance-tuning-analyst, indexing-mapping-specialist, query-performance-specialist), skills, templates, commands, an advisory hook, best-practice rules, and a research-grounded knowledge bank. A search team for a relevance engineer or platform lead accountable for search quality, latency, and conversion — it measures relevance with NDCG/MRR, treats analyzer/mapping decisions as relevance decisions, builds a judgment list before tuning, and validates online with A/B. Inherits ravenclaude-core protocols.",
"author": {
"name": "Matt Corbett"
},
"homepage": "https://github.com/mcorbett51090/RavenClaude",
"license": "MIT",
"keywords": [
"search-relevance",
"ranking",
"ndcg",
"mrr",
"analyzer",
"mapping",
"judgment-list",
"ab-testing"
],
"requires": {
"plugins": [
"ravenclaude-core@>=0.7.0"
]
}
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[search-relevance-engineering on Agent Plugins Marketplace](https://pluginsmp.com/plugins/search-relevance-engineering)