foundry-iq-python
Build agentic retrieval pipelines using Azure AI Search knowledge bases with the Python SDK.
npx skills add majiayu000/claude-skill-registry --skill foundry-iq-python --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
````skill --- name: foundry-iq-python description: Build agentic retrieval solutions with Azure AI Search knowledge bases and Foundry Agent Service using the Python SDK. Use when creating knowledge sources/bases, connecting agents via MCP for RAG, implementing hybrid search with semantic reranking, or building conversational apps with citation support. Covers SearchIndexClient, KnowledgeBaseRetrievalClient, and AIProjectClient. --- # Foundry IQ Python SDK Build agentic retrieval pipelines using Azure AI Search knowledge bases with the Python SDK. ## Architecture ``` User Query → Foundry Agent → MCP Tool → Knowledge Base → Knowledge Sources ↓ Query Planning + Hybrid Search + Reranking ↓ Extractive Data with Citations ``` ## Installation ```bash pip install azure-ai-projects==2.0.0b1 azure-search-documents==11.7.0b2 azure-identity ``` ## Authentication ```python from azure.identity import DefaultAzureCredential from azure.search.documents.indexes import SearchIndexClient credential = DefaultAzureCredential() index_client = SearchIndexClient(endpoint=search_endpoint, credential=credential) ``` ## Core Workflow ### 1. Create Search Index (Semantic Config Required) ```python from azure.
What does the foundry-iq-python skill do?
Build agentic retrieval pipelines using Azure AI Search knowledge bases with the Python SDK.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill foundry-iq-python --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.