latex-posters

latex-posters is a skill for Claude Code from yanjumlinnb-boop/scientific-agent-skills. It costs 60 tokens per session (15,500 once invoked), scanned A, a copy of latex-posters, MIT.

A guide and toolkit for creating academic research posters in LaTeX, a document-production system often used for scientific writing. It supports poster layouts, figures, tables, equations, citations, and conference size requirements.

In plain words
What is it for?
Use it to create conference or university posters, summarize scientific papers visually, prepare thesis-defense materials, and build reusable research-group templates.
Why use it?
It helps turn research into a readable large-format poster with an organized layout and consistent typography and colors.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument; built for openclaw.

Good fit Use it to create conference or university posters, summarize scientific papers visually, prepare thesis-defense materials, and build reusable research-group templates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yanjumlinnb-boop/scientific-agent-skills/latex-posters
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yanjumlinnb-boop/scientific-agent-skills --skill latex-posters
Clone the repo
git clone --depth 1 https://github.com/yanjumlinnb-boop/scientific-agent-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for latex-posters

README.md
[![agentmods](https://agentmods.dev/badge/skills/yanjumlinnb-boop/scientific-agent-skills/latex-posters/github.svg)](https://agentmods.dev/skills/yanjumlinnb-boop/scientific-agent-skills/latex-posters)
Your own site
<a href="https://agentmods.dev/skills/yanjumlinnb-boop/scientific-agent-skills/latex-posters"><img src="https://agentmods.dev/badge/skills/yanjumlinnb-boop/scientific-agent-skills/latex-posters/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for latex-posters

Your own site · 80×15
<a href="https://agentmods.dev/skills/yanjumlinnb-boop/scientific-agent-skills/latex-posters"><img src="https://agentmods.dev/badge/skills/yanjumlinnb-boop/scientific-agent-skills/latex-posters.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15,500 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.15500
Opus 5 $0.00030 $0.07750
Sonnet 5 $0.00012 $0.03100
Haiku 4.5 $0.00006 $0.01550

Measured 12d ago against content hash 7f13c122c8af, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

latex-posters scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/generate_schematic_ai.py, scripts/generate_schematic.py, scripts/review_poster.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

91% identical to latex-posters — 20 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/latex-posters/SKILL.md · 1,597 lines

How it starts

The opening of the file, as written. The whole thing — 1,597 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LaTeX Research Posters

Overview

Research posters are a critical medium for scientific communication at conferences, symposia, and academic events. This skill provides comprehensive guidance for creating professional, visually appealing research posters using LaTeX packages. Generate publication-quality posters with proper layout, typography, color schemes, and visual hierarchy.

When to Use This Skill

This skill should be used when:

  • Creating research posters for conferences, symposia, or poster sessions
  • Designing academic posters for university events or thesis defenses
  • Preparing visual summaries of research for public engagement
  • Converting scientific papers into poster format
  • Creating template posters for research groups or departments
  • Designing posters that comply with specific conference size requirements (A0, A1, 36×48", etc.)
  • Building posters with complex multi-column layouts
  • Integrating figures, tables, equations, and citations in poster format

AI-Powered Visual Element Generation

STANDARD WORKFLOW: Generate ALL major visual elements using AI before creating the LaTeX poster.

This is the recommended approach for creating visually compelling posters:

  1. Plan all visual elements needed (title, intro, methods, results, conclusions)
  2. Generate each element using scientific-schematics or Nano Banana Pro
  3. Assemble generated images in the LaTeX template
  4. Add text content around the visuals

Target: 60-70% of poster area should be AI-generated visuals, 30-40% text.


CRITICAL: Preventing Content Overflow

⚠️ POSTERS MUST NOT HAVE TEXT OR CONTENT CUT OFF AT EDGES.

Common Overflow Problems:

  1. Title/footer text extending beyond page boundaries
  2. Too many sections crammed into available space
  3. Figures placed too close to edges
  4. Text blocks exceeding column widths

Prevention Rules:

1. Limit Content Sections (MAXIMUM 5-6 sections for A0):

✅ GOOD - 5 sections with room to breathe:
   - Title/Header
   - Introduction/Problem
   - Methods
   - Results (1-2 key findings)
   - Conclusions

❌ BAD - 8+ sections crammed together:
   - Overview, Introduction, Background, Methods, 
   - Results 1, Results 2, Discussion, Conclusions, Future Work

Read the full file on GitHub · 1,597 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 1,597 lines · 60 tokens per session scan A 7f13c122c8af

Subscribe to this mod's changes

latex-posters is a skill published in the GitHub repository yanjumlinnb-boop/scientific-agent-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 15,500 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to latex-posters, differing in 20 lines, and is treated as a copy.

Related

Other skills, from other repositories

clinical-case-report

Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds"…

nexu-io/open-design · 73 tokens

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

pydicom

Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.

K-Dense-AI/scientific-agent-skills · 56 tokens

nature-experiment-log

A workflow for turning experiment notes, images, audio, or text into structured Markdown laboratory logs with YAML metadata. It can also organize raw attachments and optionally connect the logs to Feishu or Obsidian.

Yuan1z0825/nature-skills · 45 tokens

structuring-radiology-reports

Converts free-text radiology narratives into structured findings and impression — with measurements, laterality, anatomy, and follow-up recommendations — after OpenMed NER. Use when the user has a CT/MRI/X-ray/ultrasound/mammography report and needs the sections split (technique, comparison, findings, impression)…

maziyarpanahi/openmed · 195 tokens

parsing-ccda-documents

Parses C-CDA / CCD XML clinical documents to extract human-readable section narrative plus coded entries, keyed by section LOINC codes and templateIds. Use before OpenMed processing when ingesting C-CDA R2.1 documents (CCD, Discharge Summary, H&P, Consultation Note) exported from an EHR and you need the narrative…

maziyarpanahi/openmed · 152 tokens