literatureimages-interpretation
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.
Install / Use
npx skills add aipoch/medical-research-skills --skill literatureimages-interpretationInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of literatureimages-interpretation
literatureimages-interpretation scores 89/100 on our quality scale, 357th of 881 Content & Media skills we index (top 41%).
Its SKILL.md is 8.2 KB long, well organised into 15 sections with 1 code example: a thorough specification that gives an agent plenty to work with.
With 1,916 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 12 days ago, so literatureimages-interpretation is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
literatureimages-interpretation compared with similar skills
All 4 of these similar skills score higher than literatureimages-interpretation; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| literatureimages-interpretation (this skill)by aipoch | 89 | 1.9k | 12d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 86.2k | 14d ago | CLAUDE.md |
| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
| siyuanby siyuan-note | 100 | 46.6k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
Frequently asked questions
- How do I install literatureimages-interpretation?
- Run
npx skills add aipoch/medical-research-skills --skill literatureimages-interpretation. The install tabs above show the steps for each supported agent. - Which AI agents does literatureimages-interpretation work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is literatureimages-interpretation safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is literatureimages-interpretation still maintained?
- The repository was last updated 12 days ago, so literatureimages-interpretation is actively maintained.
Skill content
View source on GitHubname: 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
When to Use
- You have a paper converted from PDF to Markdown (including
## Page XXmarkers 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)
-
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:
- 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)
- Read
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
- page markers like
- If only a PDF is provided, convert it to Markdown using
pdf-extractbefore interpretation.
- Default input is a PDF-to-Markdown file (
-
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.
- Images are typically stored in a folder named
-
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)
- Open every image in the
-
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.mdas 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.
- Use
-
Quality checks
- Follow detailed requirements and checkpoints in
references/guide.md.
- Follow detailed requirements and checkpoints in
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
| Field | Required | Format/Source | Example | If Missing | |---|---|---|---|---| | User task description | Yes | Text | Research question, writing goal, analysis objective | Stop and ask user to provide | | Primary input material | Depends on task | Text, file path, ID, table, or literature | PMID, PDF, CSV, DOCX, keywords, etc. | Specify which material type is missing | | Output preference | No | Text | Language, format, target journal, template | Use 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-interpretationonly 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.
Related Skills
Agent-Reach
86.2kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
LocalAI
49.3kLocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
siyuan
46.6kAn open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
