pptx-posters
Generate PowerPoint presentations and academic posters from paper abstracts or full paper content, with automatic layout optimization and citation formatting.
Best use case
pptx-posters is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate PowerPoint presentations and academic posters from paper abstracts or full paper content, with automatic layout optimization and citation formatting.
Teams using pptx-posters should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pptx-posters/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pptx-posters Compares
| Feature / Agent | pptx-posters | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate PowerPoint presentations and academic posters from paper abstracts or full paper content, with automatic layout optimization and citation formatting.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills) # PPTX Posters Generate PowerPoint presentations and academic posters from paper abstracts or content. ## Quick Check ```bash python -m py_compile scripts/main.py python scripts/main.py --help ``` ## When to Use - Use this skill when converting a paper abstract or PDF into a structured academic poster or slide deck. - Use this skill when a specific design template (academic, minimal, colorful) or output format (poster, slides) is needed. - Do not use this skill to write original research content, fabricate figures, or produce documents for submission as original work. ## Workflow 1. Confirm the input source (abstract text or paper PDF), output format, and template preference. 2. **PDF Validation:** If the input is a PDF, check whether it can be parsed. If the PDF is encrypted, image-only, or corrupt, emit a specific error: "The provided PDF cannot be parsed (possible causes: encrypted, image-only, or corrupt file). Please convert to text or provide the abstract directly." 3. Validate that the request is for presentation generation from existing content, not original research writing. 4. Extract and structure content into appropriate layout sections. 5. Generate the PowerPoint file with layout recommendations. 6. If inputs are incomplete, state which fields are missing and request only the minimum additional information. ## Usage ```text python scripts/main.py --abstract paper.txt --format poster --output poster.pptx python scripts/main.py --paper paper.pdf --format slides --template academic python scripts/main.py --abstract paper.txt --format slides --style minimal --output talk.pptx ``` ## Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `--abstract` | file/text | No | — | Abstract text or file path | | `--paper` | file path | No | — | Full paper PDF | | `--format` | string | Yes | — | Output format: `poster` or `slides` | | `--template` | string | No | `academic` | Design template: `academic`, `minimal`, or `colorful` | | `--output` | file path | No | stdout | Output `.pptx` file path | ## Output - PowerPoint file (`.pptx`) - Layout recommendations - Design guidelines for manual refinement ## Scope Boundaries - This skill generates layout and structure from provided content; it does not write original research. - Figure placeholders are inserted; actual figures must be added manually. - Citation formatting follows standard academic style but should be verified before submission. ## Stress-Case Rules For complex multi-constraint requests, always include these explicit blocks: 1. Assumptions 2. Content Source Used 3. Layout Output 4. Design Notes 5. Risks and Manual Checks ## Error Handling - If required inputs are missing, state exactly which fields are missing and request only the minimum additional information. - If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment. - If `scripts/main.py` fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback. - Do not fabricate research content, figures, or citations. ## Input Validation This skill accepts: a paper abstract or PDF as source content, with a target output format (poster or slides) and optional template preference. If the request does not involve generating a presentation from existing paper content — for example, asking to write original research, create figures from data, or produce submission-ready manuscripts — do not proceed with the workflow. Instead respond: > "pptx-posters is designed to generate PowerPoint presentations and academic posters from existing paper content. Your request appears to be outside this scope. For figure generation, use a data visualization tool with your actual data. For original research writing, use a manuscript drafting skill. Please provide an abstract or paper file, or use a more appropriate tool." ## Response Template Use the following fixed structure for non-trivial requests: 1. Objective 2. Inputs Received 3. Assumptions 4. Workflow 5. Deliverable 6. Risks and Limits 7. Next Checks If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.
Related Skills
pptx-skill
Create, edit, and extract content from PowerPoint (.pptx) files; use when you need to generate slides programmatically, update existing decks, or export slide previews.
latex-posters
Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter. Use when a user needs poster-ready section copy, figure plans, captions, and package-specific layout decisions for conference or thesis posters.
skill-auditor
A comprehensive auditor for any agent skill — including Manus, OpenClaw/ClawHub, Claude, LobeHub, or custom SKILL.md-based skills. Use this skill whenever a user wants to evaluate, audit, review, score, or quality-check an agent skill before publishing, updating, or deploying. Covers two hard veto gates (structural redlines + research integrity redlines), static quality scoring across 25 criteria (ISO 25010 + OpenSSF + Agent), dynamic test input generation, multi-mode execution testing, multi-layer output evaluation with five specialized category rubrics (Evidence Insight / Protocol Design / Data Analysis / Academic Writing / Other), a Research Veto that applies to all four research categories, human eval viewer generation, actionable P0/P1/P2 optimization recommendations, and automatic skill improvement that outputs a polished, production-ready SKILL.md. Also use whenever a user says "audit my skill", "evaluate my skill", "improve my skill", or wants a corrected version after evaluation.
two-sample-mr-research-planner
Generates complete two-sample Mendelian randomization (MR) research designs from a user-provided research direction. Use when users want to design, plan, or build a study using two-sample MR to test causal relationships. Triggers:"design a two-sample MR study", "build a publishable MR paper", "test whether this biomarker causally affects this disease", "generate Lite/Standard/Advanced MR plans", "screen multiple exposures with MR", "bidirectional MR design", "causal inference using GWAS summary statistics", or "I want to study X and Y using MR". Always outputs four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.
research-proposal-generator
Generates a comprehensive research proposal design based on input literature, including hypothesis, mechanism verification, and budget. Use when the user wants to design a research project from a paper.
research-grants
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan's NSTC when you need agency-compliant narratives, budgets, and review-criteria alignment for a specific solicitation/FOA/BAA.
protocol-standardization
Standardize fragmented experimental steps into reproducible protocol documents when you need method organization, lab SOP drafting, or cross-operator reproducibility; missing parameters must be explicitly marked as "To be supplemented/Not provided".
prospero-registration-helper
Assists researchers in generating PROSPERO registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a PROSPERO registration form.
non-tumor-ml-research-planner
Generates complete non-tumor biomedical machine learning research designs from a user-provided research direction. Always use this skill when users want to plan bioinformatics + ML papers for non-cancer diseases (metabolic, cardiovascular, kidney, inflammatory, autoimmune, infectious, neurological, endocrine, wound healing, chronic multifactor), design diagnostic biomarker studies, combine GEO datasets with feature selection and ML modeling, or generate Lite/Standard/Advanced/Publication+ workload plans. Trigger for:"non-tumor ML study", "bioinformatics paper outside oncology", "key genes and diagnostic model for a disease", "pyroptosis/ferroptosis/senescence/autophagy + disease", "GEO datasets + machine learning", "RF + LASSO diagnostic model", "DEG + feature selection + validation", "immune infiltration + biomarker", "non-cancer biomarker paper". Trigger even for casual phrasings like "I want to study X using machine learning", "help me design a non-tumor bioinformatics paper", or "how do I build a diagnostic model for disease Y".
network-tox-docking-research-planner
Generates complete network toxicology + molecular docking research designs from a user-provided toxicant and disease/phenotype. Always use this skill when users want to investigate how an environmental toxicant, endocrine disruptor, heavy metal, food contaminant, pharmaceutical residue, or consumer product chemical may contribute to a disease through shared molecular targets, hub genes, pathways, and docking evidence. Trigger for:"network toxicology study", "toxicology mechanism paper", "target prediction + PPI + docking", "environmental pollutant and disease mechanism", "hub genes and docking for toxicant", "Lite/Standard/Advanced toxicology plan", "CTD + SwissTargetPrediction + GeneCards + STRING", "CB-Dock2 docking study", "triclosan/BPA/cadmium/PFAS + disease". Also triggers for Chinese phrasings:"网络毒理学研究设计"、"毒物机制论文"、"靶点预测+PPI+对接"、"环境污染物与疾病机制". Trigger even for casual phrasings like "I want to study how chemical X affects disease Y" or "help me design a toxicology paper". Always output four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.
meta-protocol-writer
Generates a PROSPERO-compliant Meta-analysis protocol based on Title and PICOS. Use when the user wants to write a protocol for a systematic review or meta-analysis.
hypothesis-generation
Structured scientific hypothesis formulation from observations; use when you have experimental observations or preliminary data and need testable hypotheses with predictions, mechanisms, and validation experiments.