Agent skill

Literatureimages Interpretation

by aipoch in aipoch/medical-research-skills

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…

MITAuto-check passedDocuments & Office

Install Literatureimages Interpretation

skills CLI
$ npx skills add aipoch/medical-research-skills --skill literatureimages-interpretation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills literatureimages-interpretation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/literatureimages-interpretation .claude/skills/literatureimages-interpretation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
literatureimages-interpretation
GitHub stars
1.9k
Token cost
~2.1k tokens
SKILL.md length
975 words
Files
5 (incl. references, assets)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 3 steps: If starting from PDF, convert to… → Ensure the images folder exists and… → Execute the interpretation process
  • Tasks that involve PDF
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Literatureimages Interpretation is an agent skill from aipoch/medical-research-skills. 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.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files and assets (for example `POLISH_CHANGELOG.md`, `assets/figure_interpretation_template.md` and `eval_report_literatureimages-interpretation_result.json`).

It sits in Documents & Office, covering PDF and Markdown. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • Tasks that involve PDF
  • Tasks that involve Markdown

Example prompts

  • “/literatureimages-interpretation”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. If starting from PDF, convert to Markdown first
  2. Ensure the images folder exists and matches the literature name
  3. Execute the interpretation process

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Literatureimages Interpretation loads about 2.1k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 975 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 975 words, ~2,100 tokens.

Download SKILL.mdSave it as .claude/skills/literatureimages-interpretation/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
literatureimages-interpretation
description
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.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

When to Use

  • You have a paper converted from PDF to Markdown (including ## Page XX markers and image links) and need a figure-by-figure interpretation report.
  • You need to extract key variables, trends, comparisons, and conclusions primarily from charts/plots rather than from the main text.
  • You want to align images in a *-images/ folder with figure numbers (e.g., Figure 1A, Figure 2) using captions and in-text citations.
  • You need a standardized, UTF-8 Markdown output suitable for downstream summarization, data extraction, or knowledge base ingestion.
  • You must filter out non-figure images (e.g., scanned body text blocks) and interpret only chart-like content.

Key Features

  • Parses Markdown image links and locates the corresponding *-images/ directory (e.g., RateSOX2.md → RateSOX2-images/).
  • Opens every image in the images folder without skipping and classifies each as chart / table / schematic / flowchart / body-text block.
  • Builds an internal (non-exported) alignment list to map images to figure numbers using captions and body-text citations.
  • Interprets only chart-type images (and other figure-like visuals when required), excluding body-text blocks.
  • Produces a single structured “Image Interpretation” Markdown report per input file, saved to outputs/.
  • Enforces evidence-based interpretation: rely only on captions, body text, and visible image content; do not speculate.

Dependencies

  • pdf-extract (version: not specified) — used only when the source is PDF and must be converted to Markdown first.
  • Markdown template: assets/figure_interpretation_template.md (version: not specified)
  • Quality/requirements reference: references/guide.md (version: not specified)

Example Usage

Input layout
skill/
  literatureimages-interpretation/
    inputs/
      RateSOX2.md
    RateSOX2-images/
      image_001.png
      image_002.png
      ...
    assets/
      figure_interpretation_template.md
    references/
      guide.md
    outputs/
Run (conceptual workflow)
  1. If starting from PDF, convert to Markdown first:

    bash
    pdf-extract RateSOX2.pdf > skill/literatureimages-interpretation/inputs/RateSOX2.md
  2. Ensure the images folder exists and matches the literature name:

    • inputs/RateSOX2.md
    • RateSOX2-images/
  3. Execute the interpretation process:

    • Read inputs/RateSOX2.md (captions + in-text citations + image links).
    • Open every image in RateSOX2-images/ sequentially.
    • Classify images; keep only chart/figure-like items for interpretation.
    • Align images to figure numbers (e.g., Figure 1A) when possible; otherwise mark as Unassigned.
    • Fill assets/figure_interpretation_template.md.
    • Write exactly one UTF-8 Markdown output to:
      • outputs/RateSOX2_figure_interpretation.md (example name; keep it concise)
Output (must be a single Markdown file)
  • Location: outputs/
  • Content: only the “Image Interpretation” section (do not include the internal image list table)
  • Encoding: UTF-8

Implementation Details

  • Input assumptions

    • Default input is a PDF-to-Markdown file (.md) containing:
      • page markers like ## Page XX
      • image links
      • captions and surrounding body text
    • If only a PDF is provided, convert it to Markdown using pdf-extract before interpretation.
  • Image discovery

    • Images are typically stored in a folder named *-images/ matching the literature filename.
    • Use Markdown image links and/or folder naming to locate the correct images.
  • Mandatory full pass over images

    • Open every image in the *-images/ folder without skipping.
    • Classify each image into one of:
      • chart/plot
      • table
      • schematic
      • flowchart
      • body text block (to be excluded from interpretation)
  • Figure attribution (alignment)

    • Use captions and in-text citations to assign figure identifiers (e.g., Figure 2, Fig. 3B).
    • If attribution cannot be determined, label the item as Unassigned.
    • Maintain an internal alignment list for processing only; do not generate or export any image list file.
  • Interpretation scope and constraints

    • Interpret only chart-type (and other figure-like) images that require analysis; exclude body-text blocks.
    • Interpretations must be grounded in:
      • visible content in the image (axes, legends, labels, values, trends)
      • caption text
      • relevant body text citations
    • Do not infer beyond the evidence; if information is missing, write “Not specified”.
  • Output rules

    • Use assets/figure_interpretation_template.md as the structure.
    • Output exactly one Markdown file per input document.
    • Save to outputs/ with a concise filename (avoid redundant phrases).
    • Do not include the internal image list table; output only the final “Image Interpretation” content.
    • Ensure UTF-8 encoding to prevent character corruption.
  • Quality checks

    • Follow detailed requirements and checkpoints in references/guide.md.
Show full SKILL.md (392 more words)Show less

When Not to Use

  • Do not proceed when required input files, identifiers, parameters, or context are missing — ask the user to provide them first.
  • Do not assume capabilities beyond this skill's declared scope when the user requests external operations or inferences.
  • Do not proceed without user confirmation when overwriting existing results, executing high-cost batch operations, or expanding task scope.

Required Inputs

FieldRequiredFormat/SourceExampleIf Missing
User task descriptionYesTextResearch question, writing goal, analysis objectiveStop and ask user to provide
Primary input materialDepends on taskText, file path, ID, table, or literaturePMID, PDF, CSV, DOCX, keywords, etc.Specify which material type is missing
Output preferenceNoTextLanguage, format, target journal, templateUse skill default format

Output Contract

  • Primary output: Structured result or target file aligned with this skill's objective.
  • Optional output: Intermediate check notes, issue list, supplementary suggestions, or generated file paths.
  • Format requirement: Unless the user specifies otherwise, prefer stable, reviewable Markdown or JSON; if the skill's bundled script requires a fixed format, use that format.
  • If partially complete: Must explicitly mark as PARTIAL and state which steps are completed and which remain.

Failure Handling

  • Missing critical input: Explicitly state which fields, files, or identifiers are missing and pause.
  • Script, template, or resource execution failure: Report the failing step, likely cause, and recovery suggestions — do not silently degrade.
  • Partial completion only: Return the verified portion first, then list remaining blockers and suggested next steps.

User Checkpoints

  • Before executing batch processing, overwriting files, long-running searches, or multi-stage generation, confirm scope and output format with the user.
  • Before proceeding when a key judgment is ambiguous, evidence is insufficient, or the workflow is entering the next stage, confirm with the user.

Input Validation

This skill accepts requests that match the documented purpose of literatureimages-interpretation and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

literatureimages-interpretation only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

Quick Validation

  • Check that key scripts, templates, or reference file paths this skill depends on exist.
  • Check that the final output contains the core fields, sections, or files specified for this task.
  • Check that results clearly mark assumptions, limitations, and incomplete items.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references, assets) in scientific-skills/Other/literatureimages-interpretation of aipoch/medical-research-skills.

  • SKILL.md
  • POLISH_CHANGELOG.md
  • assets/figure_interpretation_template.md
  • eval_report_literatureimages-interpretation_result.json
  • references/guide.md

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Literatureimages Interpretation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Literatureimages Interpretation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Literatureimages Interpretation this skillaipoch/medical-research-skills1.9k—~2.1kAutomated safety check: PassMIT
Paper Interpretationdigoal/blog8.6k—~1.5kAutomated safety check: PassGPL-2.0
Mindmap Renderai4s-research/ai4s-skills2371 repos~3.1kAutomated safety check: PassMIT
Markerbenchflow-ai/skillsbench1.8k—~520Automated safety check: PassApache-2.0
Fulltext RetrievalAperivue/medsci-skills333—~1.9kAutomated safety check: PassMIT
Md To PDF Academicwentorai/research-plugins2981 repos~1.8kAutomated safety check: NotesMIT

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Questions about Literatureimages Interpretation

What does Literatureimages Interpretation do?

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…. Literatureimages Interpretation is an agent skill from aipoch/medical-research-skills. 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.

When should I use Literatureimages Interpretation?

Literatureimages Interpretation fits situations like: tasks that involve PDF; tasks that involve Markdown.

How do I install Literatureimages Interpretation in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill literatureimages-interpretation -a claude-code`. Or copy the skill folder (scientific-skills/Other/literatureimages-interpretation in aipoch/medical-research-skills) into .claude/skills/literatureimages-interpretation in your project. Claude Code loads it when a task matches its description.

How do I install Literatureimages Interpretation in Codex?

Run `npx skills add aipoch/medical-research-skills --skill literatureimages-interpretation -a codex`. Or copy the skill folder (scientific-skills/Other/literatureimages-interpretation in aipoch/medical-research-skills) into .agents/skills/literatureimages-interpretation in your project. Codex loads it when a task matches its description.

Can I use Literatureimages Interpretation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill literatureimages-interpretation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/literatureimages-interpretation, .gemini/skills/literatureimages-interpretation, .github/skills/literatureimages-interpretation and .opencode/skills/literatureimages-interpretation in your project.

What does Literatureimages Interpretation need to run?

SKILL.md names no scripts, command-line tools or credentials: Literatureimages Interpretation is instructions for the agent only.

Does Literatureimages Interpretation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Literatureimages Interpretation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Literatureimages Interpretation use?

Literatureimages Interpretation is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Literatureimages Interpretation use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 362 tokens, read only when the agent opens those files.

What are the alternatives to Literatureimages Interpretation?

Skills that share tags, products or a category with Literatureimages Interpretation: Paper Interpretation (digoal/blog, 8.6k stars), Mindmap Render (ai4s-research/ai4s-skills, 237 stars), Marker (benchflow-ai/skillsbench, 1.8k stars) and Fulltext Retrieval (Aperivue/medsci-skills, 333 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Literatureimages Interpretation?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.