Classify a RAG request into a constrained execution route by calling the frozen Executor Model. Use inside an Agentic workflow before route-specific retrieval or processing.
Scanned 9/1/2026
Install to Claude Code
Skills Directorynpx -y skills add DocAILab/Agentic-RAG-Skill --skill component-classifier --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: component-classifier
description: Classify a RAG request into a constrained execution route by calling the frozen Executor Model. Use inside an Agentic workflow before route-specific retrieval or processing.
---
# Classifier Component
Provide the `classifier` capability for an Agentic RAG slot.
## Interface
Input `ClassificationRequest`:
- `query`: original question
- optional `documents`: JSON-compatible candidate documents
- optional `constraints`: routing constraints from the request
- optional `classification_mode`: `retrieval` (default) or `complexity`
- optional `max_tokens`
Output `ClassificationResult`:
- `route`: one of `lexical`, `semantic`, or `hybrid` in `retrieval` mode; one
of `non-retrieval`, `single-step`, or `multi-step` in `complexity` mode
- `reason`: concise explanation for the selected route
- `confidence`: number between 0 and 1
## Execution
Run `scripts/component.py:run(inputs, context)`. The runtime must provide the frozen `context.call_model(...)`. This Component selects only a constrained route; the Agentic workflow owns the mapping from route to concrete Component slots. Use `complexity` mode for Hybrid Agentic RAG.Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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