scientific-skills/Others/literatureimages-interpretation/SKILL.md
Interpret figures in academic papers and their captions when the input is a PDF-to-Markdown document with page markers and image links, producing a structured Markdown report for extracting variables, trends, and conclusions.
npx skillsauth add aipoch/medical-research-skills literatureimages-interpretationInstall 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.
## Page XX markers and image links) and need a figure-by-figure interpretation report.*-images/ folder with figure numbers (e.g., Figure 1A, Figure 2) using captions and in-text citations.*-images/ directory (e.g., RateSOX2.md → RateSOX2-images/).outputs/.pdf-extract (version: not specified) — used only when the source is PDF and must be converted to Markdown first.assets/figure_interpretation_template.md (version: not specified)references/guide.md (version: not specified)skill/
literatureimages-interpretation/
inputs/
RateSOX2.md
RateSOX2-images/
image_001.png
image_002.png
...
assets/
figure_interpretation_template.md
references/
guide.md
outputs/
If starting from PDF, convert to Markdown first:
pdf-extract RateSOX2.pdf > skill/literatureimages-interpretation/inputs/RateSOX2.md
Ensure the images folder exists and matches the literature name:
inputs/RateSOX2.mdRateSOX2-images/Execute the interpretation process:
inputs/RateSOX2.md (captions + in-text citations + image links).RateSOX2-images/ sequentially.assets/figure_interpretation_template.md.outputs/RateSOX2_figure_interpretation.md (example name; keep it concise)outputs/Input assumptions
.md) containing:
## Page XXpdf-extract before interpretation.Image discovery
*-images/ matching the literature filename.Mandatory full pass over images
*-images/ folder without skipping.Figure attribution (alignment)
Interpretation scope and constraints
Output rules
assets/figure_interpretation_template.md as the structure.outputs/ with a concise filename (avoid redundant phrases).Quality checks
references/guide.md.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.