leann-search

GitHub

基于LEANN向量索引的代码语义搜索技能,支持通过自然语言查询理解代码概念、模式及相似实现,适用于无法使用精确匹配或正则时的深层代码探索场景。

.claude/skills/archive/leann-search/SKILL.md parcadei/Continuous-Claude-v3

Trigger Scenarios

用户询问代码功能或架构逻辑 需要查找语义相似但术语不同的代码片段 进行代码库概念性理解与分析

Install

npx skills add parcadei/Continuous-Claude-v3 --skill leann-search -g -y
More Options

Non-standard path

npx skills add https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/archive/leann-search -g -y

Use without installing

npx skills use parcadei/Continuous-Claude-v3@leann-search

指定 Agent (Claude Code)

npx skills add parcadei/Continuous-Claude-v3 --skill leann-search -a claude-code -g -y

安装 repo 全部 skill

npx skills add parcadei/Continuous-Claude-v3 --all -g -y

预览 repo 内 skill

npx skills add parcadei/Continuous-Claude-v3 --list

SKILL.md

Frontmatter
{
    "name": "leann-search",
    "description": "Semantic search across codebase using LEANN vector index",
    "allowed-tools": [
        "Bash",
        "Read"
    ]
}

LEANN Semantic Search

Use LEANN for meaning-based code search instead of grep.

When to Use

  • Conceptual queries: "how does authentication work", "where are errors handled"
  • Understanding patterns: "streaming implementation", "provider architecture"
  • Finding related code: code that's semantically similar but uses different terms

When NOT to Use

  • Exact matches: Use Grep for class Foo, def bar, specific identifiers
  • Regex patterns: Use Grep for error.*handling, import.*from
  • File paths: Use Glob for *.test.ts, src/**/*.py

Commands

# Search the current project's index
leann search <index-name> "<query>" --top-k 5

# List available indexes
leann list

# Example
leann search rigg "how do providers handle streaming" --top-k 5

MCP Tool (in Claude Code)

leann_search(index_name="rigg", query="your semantic query", top_k=5)

Rebuilding the Index

When codebase changes significantly:

cd /path/to/project
leann build <project-name> --docs src tests scripts \
  --file-types '.ts,.py,.md,.json' \
  --no-recompute --no-compact \
  --embedding-mode sentence-transformers \
  --embedding-model all-MiniLM-L6-v2

How It Works

  1. LEANN uses sentence embeddings to understand meaning
  2. Searches find conceptually similar code, not just text matches
  3. Results ranked by semantic similarity score (0-1)

Grep vs LEANN Decision

Query Type Tool Example
Natural language LEANN "how does caching work"
Class/function name Grep "class CacheManager"
Pattern matching Grep error|warning
Find implementations LEANN "rate limiting logic"

Version History

  • d07ff4b Current 2026-08-20 12:45

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Metadata

Files
0
Version
d07ff4b
Hash
22c8cc19
Indexed
2026-08-20 12:45

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