
from rosetta317
Implement phrase-tagging semantic search in Apache Solr 9.x using concept tagging, taxonomies, and graph-based path resolution.
This skill transforms a standard Apache Solr instance into a sophisticated semantic search engine using lexical phrase-tagging. It allows agents to decompose natural-language queries into structured concepts via dictionary lookups, resolve ambiguity using a tag graph, and assemble precise multi-field queries.
Use this skill when implementing taxonomy-driven search, structured Brand/Line/Model recognition, or when vector/embedding search produces too many false positives for the required precision.
Designed for high-reasoning coding agents (e.g., Claude Code, Cursor, Codex) capable of following complex multi-step architectural patterns and reading reference files.
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Load Context
Ensure an agent loads the most current execution context and prep steps (bootstrap, docs, tools) before planning or acting.
Reasoning
Structured 7-step meta-cognitive reasoning skill that guides analysis, decomposition, and confident decision-making with explicit caveats.
Rosetta Testing Specialist
Expert guidance for writing isolated, idempotent tests with 80%+ coverage and strict external-only mocking.