Agent skill
doc-extraction-hybrid-classification-strategy-wrk-1188-learning
Sub-skill of doc-extraction: Hybrid Classification Strategy (WRK-1188 Learning).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/engineering/doc-extraction/hybrid-classification-strategy-wrk-1188-learning
SKILL.md
Hybrid Classification Strategy (WRK-1188 Learning)
Hybrid Classification Strategy (WRK-1188 Learning)
For large homogeneous collections, prefer deterministic classifiers over LLM:
| Collection | Strategy | Cost | Accuracy |
|---|---|---|---|
| ASTM (25,537 docs) | Designation prefix → discipline | $0 | 86% vs LLM |
| API/DNV/ISO (1,062) | LLM (Claude Haiku CLI) | ~$2 | Baseline |
| Unknown org (484) | LLM (Claude Haiku CLI) | ~$1 | Baseline |
Rule: If org has predictable title/designation patterns, write a deterministic classifier first. Validate with 100-doc LLM sample. Accept if >85%.
See data/document-index-pipeline skill for full pipeline orchestration.
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