/latex-posters
OpenRouter API key for the skill's LLM-powered steps.
$ npx -y skills add K-Dense-AI/claude-scientific-writer --skill latex-posters --agent claude-codeHow it fires
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- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
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/latex-posters
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OpenRouter API key for the skill's LLM-powered steps.
SKILL.md
latex-posters.SKILL.mdname: latex-posters
description: "Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication."
allowed-tools: Read Write Edit Bash
metadata:
version: "1.4"
openclaw:
primaryEnv: OPENROUTER_API_KEY
envVars:
- name: OPENROUTER_API_KEY
required: false
description: OpenRouter API key for the skill's LLM-powered steps.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.**
---
Hard limits (do not exceed)
These are limits, not guidelines. Violating them is the single most common cause of a failed poster. Full reasoning, per-graphic-type tables, and worked examples are in [references/ai_graphics_for_posters.md](references/ai_graphics_for_posters.md).
| Constraint | Limit | | --- | --- | | Elements per AI-generated graphic | **3-4 maximum** (3 ideal) | | Words per graphic | **10 maximum** | | White space per graphic | **50% minimum** (60% better) | | Key numbers / metrics | **120pt+** | | Labels | **80pt+** | | Body text on the poster | **24pt+** | | Content sections (A0) | **5-6 maximum** | | Total words on the poster | **300-800** | | Figure width | `0.85\linewidth`, never `1.0` |
Every graphic prompt must include: `POSTER FORMAT for A0`, an explicit element or word count (`ONLY 3 icons`, `3 words total`), a font size (`GIANT (120pt+)`), `60% white space`, and a viewing distance (`readable from 10-12 feet`).
**Two mandatory review gates.** Skipping either is how unreadable posters happen:
- **Before generating** — for each planned graphic, confirm it is 3-4 items, one message,
under 10 words, and not a 5+ stage workflow. If not, split it into several graphics.
- **After generating, before assembly** — open each figure at 25% zoom. All text readable,
4 or fewer elements, 50%+ white space, understandable in 2 seconds. Any failure means regenerate or split. Do not assemble a poster from figures that failed.
Patterns that always fail: `7-stage workflow`, `timeline with annual milestones`, `3 case studies in one graphic`, `comparison of 5+ methods`, `architecture with all layers`. Collapse each to 3 high-level items, or make several separate graphics.
**Overflow is an error, not a warning.** After compiling, run `grep -i overfull poster.log` and inspect all four edges at 100% zoom. See [references/compilation_and_quality_control.md](references/compilation_and_quality_control.md).
Scientific Schematics Integration
For detailed guidance on creating schematics, refer to the **scientific-schematics** skill documentation.
**Key capabilities:**
- Nano Banana Pro automatically generates, reviews, and refines diagrams
- Creates publication-quality images with proper formatting
- Ensures accessibility (colorblind-friendly, high contrast)
- Supports iterative refinement for complex diagrams
---
Core Capabilities
Three poster packages are supported — **beamerposter** (Beamer syntax, institutional themes), **tikzposter** (modern, colorful, flexible), and **baposter** (structured multi-column). Package comparison, layout and grid systems, design principles, standard sizes, per-package templates, figure and image integration, color schemes, typography, and QR codes are all documented in [references/latex_poster_reference.md](references/latex_poster_reference.md).
Reusable per-section content patterns, accessibility requirements, and presentation-day guidance are in [references/poster_patterns_and_presentation.md](references/poster_patterns_and_presentation.md).
Workflow for Poster Creation
Stage 1: Planning and Content Development
1. **Determine poster requirements**:
- Conference size specifications (A0, 36×48", etc.)
- Orientation (portrait vs. landscape)
- Submission deadlines and format requirements
2. **Develop content outline**:
- Identify 1-3 core messages
- Select key figures (typically 3-6 main visuals)
- Draft concise text for each section (bullet points preferred)
- Aim for 300-800 words total
3. **Choose LaTeX package**:
- beamerposter: If familiar with Beamer, need institutional themes
- tikzposter: For modern, colorful designs with flexibility
- baposter: For structured, professional multi-column layouts
Stage 2: Generate Visual Elements (AI-Powered)
**CRITICAL: Generate SIMPLE f
Read more
name: latex-posters
description: "Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication."
allowed-tools: Read Write Edit Bash
metadata:
version: "1.4"
openclaw:
primaryEnv: OPENROUTER_API_KEY
envVars:
- name: OPENROUTER_API_KEY
required: false
description: OpenRouter API key for the skill's LLM-powered steps.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.**
---
Hard limits (do not exceed)
These are limits, not guidelines. Violating them is the single most common cause of a failed poster. Full reasoning, per-graphic-type tables, and worked examples are in [references/ai_graphics_for_posters.md](references/ai_graphics_for_posters.md).
| Constraint | Limit | | --- | --- | | Elements per AI-generated graphic | **3-4 maximum** (3 ideal) | | Words per graphic | **10 maximum** | | White space per graphic | **50% minimum** (60% better) | | Key numbers / metrics | **120pt+** | | Labels | **80pt+** | | Body text on the poster | **24pt+** | | Content sections (A0) | **5-6 maximum** | | Total words on the poster | **300-800** | | Figure width | `0.85\linewidth`, never `1.0` |
Every graphic prompt must include: `POSTER FORMAT for A0`, an explicit element or word count (`ONLY 3 icons`, `3 words total`), a font size (`GIANT (120pt+)`), `60% white space`, and a viewing distance (`readable from 10-12 feet`).
**Two mandatory review gates.** Skipping either is how unreadable posters happen:
- **Before generating** — for each planned graphic, confirm it is 3-4 items, one message,
under 10 words, and not a 5+ stage workflow. If not, split it into several graphics.
- **After generating, before assembly** — open each figure at 25% zoom. All text readable,
4 or fewer elements, 50%+ white space, understandable in 2 seconds. Any failure means regenerate or split. Do not assemble a poster from figures that failed.
Patterns that always fail: `7-stage workflow`, `timeline with annual milestones`, `3 case studies in one graphic`, `comparison of 5+ methods`, `architecture with all layers`. Collapse each to 3 high-level items, or make several separate graphics.
**Overflow is an error, not a warning.** After compiling, run `grep -i overfull poster.log` and inspect all four edges at 100% zoom. See [references/compilation_and_quality_control.md](references/compilation_and_quality_control.md).
Scientific Schematics Integration
For detailed guidance on creating schematics, refer to the **scientific-schematics** skill documentation.
**Key capabilities:**
- Nano Banana Pro automatically generates, reviews, and refines diagrams
- Creates publication-quality images with proper formatting
- Ensures accessibility (colorblind-friendly, high contrast)
- Supports iterative refinement for complex diagrams
---
Core Capabilities
Three poster packages are supported — **beamerposter** (Beamer syntax, institutional themes), **tikzposter** (modern, colorful, flexible), and **baposter** (structured multi-column). Package comparison, layout and grid systems, design principles, standard sizes, per-package templates, figure and image integration, color schemes, typography, and QR codes are all documented in [references/latex_poster_reference.md](references/latex_poster_reference.md).
Reusable per-section content patterns, accessibility requirements, and presentation-day guidance are in [references/poster_patterns_and_presentation.md](references/poster_patterns_and_presentation.md).
Workflow for Poster Creation
Stage 1: Planning and Content Development
1. **Determine poster requirements**:
- Conference size specifications (A0, 36×48", etc.)
- Orientation (portrait vs. landscape)
- Submission deadlines and format requirements
2. **Develop content outline**:
- Identify 1-3 core messages
- Select key figures (typically 3-6 main visuals)
- Draft concise text for each section (bullet points preferred)
- Aim for 300-800 words total
3. **Choose LaTeX package**:
- beamerposter: If familiar with Beamer, need institutional themes
- tikzposter: For modern, colorful designs with flexibility
- baposter: For structured, professional multi-column layouts
Stage 2: Generate Visual Elements (AI-Powered)
**CRITICAL: Generate SIMPLE f
🚀 Looking for more advanced capabilities? For end-to-end scientific writing, deep scientific search, advanced image generation and enterprise solutions, visit www.k-dense.ai Stay up to date: Follow K-Dense on X, LinkedIn, and YouTube for new features,
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