assimilate-popular-wor…
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md…
@a5c-aiInstall SkillAutomation
Skill
/langchain-retriever
LangChain retriever implementation with various retrieval strategies for RAG applications
Claude Code
$ npx -y skills add a5c-ai/babysitter --skill langchain-retriever --agent claude-code
Codex
$ npx skills add a5c-ai/babysitter --skill langchain-retriever -a codex -y
Cursor
$ npx skills add a5c-ai/babysitter --skill langchain-retriever -a cursor -y
Gemini CLI
$ npx skills add a5c-ai/babysitter --skill langchain-retriever -a gemini-cli -y
GitHub Copilot
$ npx skills add a5c-ai/babysitter --skill langchain-retriever -a github-copilot -y
OpenCode
$ npx skills add a5c-ai/babysitter --skill langchain-retriever -a opencode -y
Windsurf
$ npx skills add a5c-ai/babysitter --skill langchain-retriever -a windsurf -y
SKILL.md
langchain-retriever.SKILL.mdname: langchain-retriever
description: LangChain retriever implementation with various retrieval strategies for RAG applications
allowed-tools:
- Read
- Write
- Edit
- Bash
- Glob
- Grep
graph:
domains: [domain:software-engineering]
specializations: [specialization:ai-agents-conversational]
skillAreas: [skill-area:retrieval-augmented-generation, skill-area:search-indexing]
roles: [role:ml-engineer, role:backend-engineer]
workflows: [workflow:ml-model-lifecycle, workflow:feature-development]
LangChain Retriever Skill
Capabilities
- Implement various LangChain retriever types
- Configure vector store retrievers
- Set up multi-query retrievers for improved recall
- Implement contextual compression retrievers
- Design ensemble retrievers combining multiple strategies
- Configure self-query retrievers for structured filtering
Target Processes
- rag-pipeline-implementation
- advanced-rag-patterns
Implementation Details
Retriever Types
1. **VectorStoreRetriever**: Basic similarity search 2. **MultiQueryRetriever**: Generates query variations 3. **ContextualCompressionRetriever**: Filters and compresses results 4. **EnsembleRetriever**: Combines multiple retrievers 5. **SelfQueryRetriever**: Structured metadata filtering 6. **ParentDocumentRetriever**: Returns parent chunks
Configuration Options
- Search type (similarity, mmr, similarity_score_threshold)
- Number of documents to retrieve (k)
- Score thresholds
- Metadata filtering
- Compression settings
Dependencies
- langchain
- langchain-community
- Vector store client
Read more
name: langchain-retriever description: LangChain retriever implementation with various retrieval strategies for RAG applications allowed-tools: - Read - Write - Edit - Bash - Glob - Grep graph: domains: [domain:software-engineering] specializations: [specialization:ai-agents-conversational] skillAreas: [skill-area:retrieval-augmented-generation, skill-area:search-indexing] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:ml-model-lifecycle, workflow:feature-development]
LangChain Retriever Skill
Capabilities
- Implement various LangChain retriever types
- Configure vector store retrievers
- Set up multi-query retrievers for improved recall
- Implement contextual compression retrievers
- Design ensemble retrievers combining multiple strategies
- Configure self-query retrievers for structured filtering
Target Processes
- rag-pipeline-implementation
- advanced-rag-patterns
Implementation Details
Retriever Types
1. **VectorStoreRetriever**: Basic similarity search 2. **MultiQueryRetriever**: Generates query variations 3. **ContextualCompressionRetriever**: Filters and compresses results 4. **EnsembleRetriever**: Combines multiple retrievers 5. **SelfQueryRetriever**: Structured metadata filtering 6. **ParentDocumentRetriever**: Returns parent chunks
Configuration Options
- Search type (similarity, mmr, similarity_score_threshold)
- Number of documents to retrieve (k)
- Score thresholds
- Metadata filtering
- Compression settings
Dependencies
- langchain
- langchain-community
- Vector store client
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Questions about langchain-retriever.
- Which coding agents can use langchain-retriever?
- langchain-retriever installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.