菜单
Sub-skill of doc-extraction: Hybrid Classification Strategy (WRK-1188 Learning).
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npx skills add https://github.com/vamseeachanta/workspace-hub --skill doc-extraction-hybrid-classification-strategy-wrk-1188-learning命令会保持在同一行。复制前请横向滚动并检查完整内容。
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基于 SOC 职业分类
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
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| name | doc-extraction-hybrid-classification-strategy-wrk-1188-learning |
| description | Sub-skill of doc-extraction: Hybrid Classification Strategy (WRK-1188 Learning). |
| version | 1.0.0 |
| category | engineering |
| type | reference |
| scripts_exempt | true |
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 (Codex Haiku CLI) | ~$2 | Baseline |
| Unknown org (484) | LLM (Codex 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.