Generate semantic embeddings for Clojure code navigation via CIDER.
npx skills add https://github.com/plurigrid/asi --skill cider-embedding
Please help me install this Agent Skill. Skill: cider-embedding Source: https://github.com/plurigrid/asi/tree/main/skills/cider-embedding Command: npx skills add https://github.com/plurigrid/asi --skill cider-embedding
This Skill outlines semantic embeddings for CIDER to improve code navigation, similarity search, and code completion in Clojure projects.
Index a sample Clojure project, generate embeddings, and query for top matches to jump to relevant code sections.
High-intent search queries and answers about installing and using this skill.
Semantic code search uses vector embeddings to find Clojure snippets with related meaning, not just keyword matches. cider-embedding generates these embeddings for your project, letting you query by intent and jump to functionally similar code sections through CIDER.
Yes. Semantic code completion leverages embeddings to suggest contextually relevant completions based on code meaning rather than prefix matching alone. cider-embedding integrates with CIDER to provide these context-aware suggestions during development.
Traditional cross-references find exact matches by name; embedding-based navigation discovers functionally related code by semantic similarity. This lets you navigate between logically connected definitions even when naming patterns differ.
Index your Clojure project by generating embeddings for its source files, then query the vector space to retrieve top semantic matches. cider-embedding handles embedding generation and vector operations to enable immediate similarity search within CIDER.
cider-embedding implements vector space operations to scale across projects. Performance depends on project size and embedding dimensionality, but the approach is designed to handle standard Clojure project complexity for practical code navigation.
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