LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine…
Umbrella skill for document workflows (PDF/DOCX/XLSX/PPTX). Dispatches to the most specific document skill to reduce noise and improve routing precision.
Claude Code
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill document-skills --agent claude-code
Codex
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill document-skills -a codex -y
Cursor
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill document-skills -a cursor -y
Gemini CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill document-skills -a gemini-cli -y
GitHub Copilot
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill document-skills -a github-copilot -y
OpenCode
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill document-skills -a opencode -y
Windsurf
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill document-skills -a windsurf -y
name: document-skills description: Umbrella skill for document workflows (PDF/DOCX/XLSX/PPTX). Dispatches to the most specific document skill to reduce noise and improve routing precision.
Use this skill when the task is clearly “document work” but the exact format is not yet fixed, or when the user mixes multiple formats (e.g., “把论文里的表格做成 Excel,再导出 PDF 报告”).
Goal: **fast dispatch to the most specific skill** so we keep **high hit-rate / low noise**.
1) **PDF** (`.pdf`, “PDF”, “pypdf”, “pdfplumber”, “render pages”)
2) **Word / DOCX** (`.docx`, “Word”, “tracked changes”, “python-docx”)
3) **Excel / Spreadsheets** (`.xlsx`, `.csv`, `.tsv`, “Excel”, “openpyxl”, “pivot table”)
4) **Slides / Posters / PPTX** (`.pptx`, “slides”, “poster”, “deck”, “PowerPoint”)
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine…
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