Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Advanced molecular visualization tool that generates professional-grade rendering scripts with cinematic effects for creating publication-quality and cover-worthy molecular images.
See ## Features above for related details.
scripts/main.py.See ## Usage above for related details.
cd "20260318/scientific-skills/Data Analytics/3d-molecule-ray-tracer"
python -m py_compile scripts/main.py
python scripts/main.py --help
Example run plan:
CONFIG block or documented parameters if the script uses fixed settings.python scripts/main.py with the validated inputs.See ## Workflow above for related details.
scripts/main.py.Use this command to verify that the packaged script entry point can be parsed before deeper execution.
python -m py_compile scripts/main.py
Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.
python -m py_compile scripts/main.py
python scripts/main.py --help
# Generate PyMOL script with default settings
python scripts/main.py --pdb 1mbn
# Generate cover-quality render script
python scripts/main.py --pdb 1mbn --preset cover
# Generate ChimeraX script
python scripts/main.py --software chimerax --pdb 1abc --preset publication
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--software | str | pymol | No | Target rendering software (pymol/chimerax) |
--pdb | str | None | Yes | PDB file path or 4-letter PDB ID |
--preset | str | standard | No | Rendering preset (standard/cover/publication/cinematic) |
--style | str | cartoon | No | Molecular representation style |
--resolution | int | from preset | No | Output resolution in pixels |
--bg-color | str | white | No | Background color |
--ao-on | flag | False | No | Enable ambient occlusion |
--shadows | flag | False | No | Enable shadow casting |
--fog | float | from preset | No | Fog density (0-1) |
--dof-on | flag | False | No | Enable depth of field |
--dof-focus | str | center | No | DOF focus point |
--dof-aperture | float | from preset | No | Aperture size (higher = more blur) |
--lighting | str | from preset | No | Lighting preset |
--output | str | auto | No | Output script filename |
# Cover-quality render with depth of field
python scripts/main.py \
--software pymol \
--pdb 1mbn \
--preset cover \
--dof-on \
--dof-focus "A:64" \
--dof-aperture 2.0 \
--style surface \
--output cover_render.pml
# Cinematic 4K render
python scripts/main.py \
--software pymol \
--pdb complex.pdb \
--preset cinematic \
--resolution 3840 \
--ao-on \
--shadows \
--lighting cinematic
| Preset | Resolution | Ray Trace | DOF | AO | Shadows | Use Case |
|---|---|---|---|---|---|---|
| Standard | 2400px | ✓ | ✗ | ✗ | ✗ | Quick high-quality |
| Cover | 3000px | ✓ | ✓ | ✓ | ✓ | Journal covers |
| Publication | 2400px | ✓ | ✗ | ✓ | ✗ | Manuscript figures |
| Cinematic | 3840px | ✓ | ✓ | ✓ | ✓ | Presentations |
| Software | Best For | Features |
|---|---|---|
| PyMOL | Traditional rendering, ease of use | Ray tracing, shadows, AO |
| ChimeraX | Modern effects, large structures | PBR lighting, ambient occlusion, VR |
⚠️ AI independent acceptance status: manual inspection required This skill requires:
pip install -r requirements.txt
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python scripts executed locally | Medium |
| Network Access | Fetches PDB structures from RCSB (optional) | Low |
| File System Access | Writes rendering scripts | Low |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | No sensitive data exposure | Low |
# Python dependencies
pip install -r requirements.txt
# Install PyMOL or ChimeraX separately
✓ Rendering script generated: /path/to/cover_render.pml
Configuration:
Software: pymol
Preset: cover
Style: cartoon
Resolution: 3000px
Depth of Field: ON
Ambient Occlusion: ON
Shadows: ON
Lighting: cinematic
To render:
pymol cover_render.pml
# Or within PyMOL:
@ cover_render.pml
See references/ for:
💡 Tip: For creating multiple related figures, save your complete scene setup (lighting, camera, colors) as a PyMOL session file (.pse) or ChimeraX session (.cxs), then modify only the specific elements needed for each figure. This ensures consistency across figure panels.
Every final response should make these items explicit when they are relevant:
scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.This skill accepts requests that match the documented purpose of 3d-molecule-ray-tracer 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:
3d-molecule-ray-traceronly handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.
Use the following fixed structure for non-trivial requests:
If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
Precision editing tool that reduces abstract word count through intelligent compression techniques, maintaining scientific rigor while meeting strict journal and conference requirements.
日本語の概要は準備中です。原文の説明を表示しています。
Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate Summary_Report.md.
日本語の概要は準備中です。原文の説明を表示しています。
Generates submission-ready Elsevier/SCI Highlights from manuscript text or extracted PDF/DOCX/TXT content. Use when a user needs 3-5 concise, evidence-grounded highlight bullets for a research paper, review, meta-analysis, case report, or bioinformatics manuscript.
日本語の概要は準備中です。原文の説明を表示しています。
Generates complete FAERS pharmacovigilance study designs for multi-drug or class-level safety comparison inside one predefined SOC or AE family using active comparators, disproportionality analysis, subgroup characterization, and reviewer-facing evidence control.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
日本語の概要は準備中です。原文の説明を表示しています。