scientific-skills/Others/ppt/SKILL.md
Create and export PPTX decks using the local HTML/JS PPT framework in `D:\SKILL\project\ppt`. Use this when you need to generate slides from a topic/outline, edit slide content via `projects/*.js`, preview as HTML, or export a `.pptx` without relying on an existing template.
npx skillsauth add aipoch/medical-research-skills pptInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Run this minimal command first to verify the supported execution path:
python scripts/validate_skill.py --help
projects/*.js) rather than in PowerPoint..pptx..pptx without starting from an existing PowerPoint template.const SLIDES = [...] in projects/*.js.comparison, timeline, stats, valueCards, quote, ending)..pptx.D:\SKILL\project\ppt\requirements.txtCreate: D:\SKILL\project\ppt\projects\demo-20260227.js
const SLIDES = [
{
badge: { icon: "*", text: "DEMO" },
title: { text: "PPT Framework Demo" },
subtitle: "Build in JS, preview in HTML, export to PPTX",
clickHint: "2026-02-27 / v1",
elements: [
{
step: 1,
type: "quote",
text: "A code-first workflow makes decks reproducible and easy to iterate.",
author: { icon: "-", text: "Key takeaway" }
}
]
},
{
badge: { icon: "*", text: "AGENDA" },
title: { text: "What We Will Cover" },
subtitle: "A simple outline slide",
clickHint: "Section 1/3",
elements: [
{ step: 1, type: "valueCards", title: "Authoring", items: ["Edit `projects/*.js`", "Use `const SLIDES`"] },
{ step: 2, type: "valueCards", title: "Preview", items: ["Generate HTML", "Review layout quickly"] },
{ step: 3, type: "valueCards", title: "Export", items: ["Convert to PPTX", "Share the deck"] }
]
},
{
badge: { icon: "*", text: "END" },
title: { text: "Next Steps" },
subtitle: "Export and refine",
clickHint: "Section 3/3",
elements: [
{ step: 1, type: "ending", title: "Export the deck", bullets: ["Run HTML build", "Run PPTX conversion"] }
]
}
];
module.exports = { SLIDES };
From D:\SKILL\project\ppt:
python build_html.py demo-20260227
python convert_to_pptx.py demo-20260227
Generated files are written to:
D:\SKILL\project\ppt\output\projects/.const SLIDES = [ ... ].badge: small label (icon + text)title: primary headline (keep short and specific)subtitle: one-sentence contextclickHint: date/version or navigation hintelements: ordered visual components with step sequencingtype values such as comparison, timeline, stats, valueCards, quote, ending to ensure each slide has a visual structure.ppt_result.md unless the skill documentation defines a better convention.Run this minimal verification path before full execution when possible:
No local script validation step is required for this skill.
Expected output format:
Result file: ppt_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any
tools
Generates complete conventional oncology bulk-transcriptome biomarker and hub-gene research designs from a user-provided cancer type and study direction. Always use this skill whenever a user wants to design, plan, or build a tumor bioinformatics study centered on differential expression, prognostic filtering or risk modeling, PPI-based hub-gene prioritization, diagnostic/prognostic evaluation, clinical association, immune infiltration context, methylation context, and optional tissue or cell validation. Covers five study patterns (signature-first prognostic workflow, hub-gene-first biomarker workflow, hybrid signature-to-hub workflow, immune-context biomarker workflow, translational validation workflow) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path...
development
Generates complete conventional non-oncology bioinformatics research designs from a user-provided disease context, process-related gene family or biological theme, and validation direction. Use when a study centers on multi-dataset bulk transcriptome integration, DEG analysis, process-gene intersection, enrichment analysis, GSEA, PPI hub-gene prioritization, TF/miRNA regulatory networks, ROC-based biomarker evaluation, and immune infiltration analysis. Covers five study patterns (process-DEG discovery, enrichment/GSEA interpretation, hub-gene prioritization, regulatory-network and immune interpretation, multi-layer public validation) and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.
tools
Plans confounder control, variable adjustment logic, and bias mitigation strategies at the protocol stage for clinical, epidemiologic, translational, observational, and biomarker studies. Always use this skill when a user needs to identify major confounders, decide which variables should or should not be adjusted for, compare matching/stratification/weighting approaches, anticipate selection or measurement bias, or pressure-test a study design before execution. Focus on bias sensing, causal structure awareness, variable-role classification, and critical design review rather than generic statistical advice.
testing
Generates complete comparative network-toxicology research designs from a user-provided exposure pair, shared toxic phenotype, and validation direction. Use when a study centers on two related exposures under one outcome and needs target collection, shared-vs-specific target decomposition, enrichment, PPI hub prioritization, docking, optional transcriptomic cross-checks, and conservative mechanistic synthesis. Covers five study patterns and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.