Agent skill
document-skills
Umbrella skill for document workflows (PDF/DOCX/XLSX/PPTX). Dispatches to the most specific document skill to reduce noise and improve routing precision.
Install this agent skill to your Project
npx add-skill https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/document-skills
SKILL.md
Document Skills (Dispatcher)
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.
Quick dispatch rules
- PDF (
.pdf, “PDF”, “pypdf”, “pdfplumber”, “render pages”)
- Prefer the pdf skill.
- Typical tasks: extract text/tables, render pages, review layout, generate PDF reports.
- Word / DOCX (
.docx, “Word”, “tracked changes”, “python-docx”)
- Prefer the docx skill (or doc when the task is explicitly
.docxformatting/layout heavy and the doc skill is requested/required by your environment).
- Excel / Spreadsheets (
.xlsx,.csv,.tsv, “Excel”, “openpyxl”, “pivot table”)
- Prefer the xlsx skill.
- If the task is more “tabular ETL + analysis” than “Excel formatting”, you can use spreadsheet instead (but keep output fidelity requirements in mind).
- Slides / Posters / PPTX (
.pptx, “slides”, “poster”, “deck”, “PowerPoint”)
- Prefer scientific-slides for scientific slide decks.
- Prefer pptx-posters for posters.
- Use infographics / markdown-mermaid-writing when the user wants diagrams rather than editable slides.
Safety / noise controls
- Do not guess formats. If the user didn’t specify a target file type, ask: “你最终需要交付的是 PDF / DOCX / XLSX / PPTX 哪一种?”
- If multiple outputs are requested, sequence them: source-of-truth document → derived exports (e.g., XLSX → charts → PPTX → PDF).
Output expectations
- Always preserve formatting when the user provides a template.
- For any generated file, clearly state: output path(s) and how to verify (open in Office/Preview, check page breaks, confirm no Excel formula errors, etc.).
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
pufferlib
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
build-error-resolver
Compatibility alias for build-specific error resolution. Use this when VCO routes to build-error-resolver but the upstream agent is unavailable in the current runtime.
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
zinc-database
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
Didn't find tool you were looking for?