semantic-patterns
CommunityTurn questions into precise vector searches.
Data & Analytics#RAG#retrieval#vector-search#semantic-patterns#multi-hop#query-engineering#metadata-filtering
Authorpascalandy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps data teams and developers transform vague user questions into structured prompts for vector-based retrieval systems, improving recall and relevance in large knowledge bases.
Core Features & Use Cases
- Pattern-driven query engineering: Expansion, Decomposition, Contextual Rewriting, Diagnostic Expansion, Self-Ask, HyDE, Metadata Pre-filtering, Multi-hop Retrieval, Temporal Rewriting.
- Use Cases: Build semantic search pipelines, design retrieval logic, and diagnose recall failures in large document corpora.
- Reference: See references/semantic-patterns.md for detailed pattern definitions and examples.
Quick Start
Provide a natural language question to the skill and it will generate a suite of vector-search prompts using the patterns above to guide retrieval.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: semantic-patterns Download link: https://github.com/pascalandy/dotfiles/archive/main.zip#semantic-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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