Find your landing page message
Connect a product’s value to a specific audience and write a clear first-screen message.
Use Nano-PDF when an agent needs to update existing PDF slides or insert matching new slides from plain-language instructions. The workflow is bounded to PDF page edits and deck-consistent slide generation, not general design automation.
--- name: revise-pdf-slides-with-natural-language-edits slug: "revise-pdf-slides-with-natural-language-edits" description: "Use Nano-PDF when an agent needs to update existing PDF slides or insert matching new slides from plain-language instructions. The workflow is bounded to PDF page edits and deck-consistent slide generation, not general design automation." github_stars: 1237 verification: "security_reviewed" source: "https://github.com/gavrielc/Nano-PDF" author: "gavrielc" category: "Image & Creative Automation" framework: "OpenClaw" tool_ecosystem: github_repo: "gavrielc/Nano-PDF" github_stars: 1237 --- # Revise PDF Slides with Natural-Language Edits Use Nano-PDF when an agent needs to update existing PDF slides or insert matching new slides from plain-language instructions. The workflow is bounded to PDF page edits and deck-consistent slide generation, not general design automation. ## Installation Use the upstream install or setup path that matches your environment: - pip install nano-pdf - brew install poppler tesseract - Make sure you've installed poppler and tesseract for your platform. After installation, restart your terminal to refresh PATH. Run which pdftotext and which tesseract to verify they're accessible. - git clone https://github.com/gavrielc/Nano-PDF.git Requirements and caveats from upstream: - [](https://www.python.org/downloads/) - **Note:** This tool uses Gemini 3 Pro Image which requires a paid API tier. See [pricing](https://ai.google.dev/pricing) for details. - Python 3.10+ Basic usage or getting-started notes: - ## Example - ### Using pip - bash - Source: https://github.com/gavrielc/Nano-PDF - Extracted from upstream docs: https://raw.githubusercontent.com/gavrielc/Nano-PDF/HEAD/README.md ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/revise-pdf-slides-with-natural-language-edits/)--- name: revise-pdf-slides-with-natural-language-edits slug: "revise-pdf-slides-with-natural-language-edits" description: "Use Nano-PDF when an agent needs to update existing PDF slides or insert matching new slides from plain-language instructions. The workflow is bounded to PDF page edits and deck-consistent slide generation, not general design automation." github_stars: 1237 verification: "security_reviewed" source: "https://github.com/gavrielc/Nano-PDF" author: "gavrielc" category: "Image & Creative Automation" framework: "OpenClaw" tool_ecosystem: github_repo: "gavrielc/Nano-PDF" github_stars: 1237 --- # Revise PDF Slides with Natural-Language Edits Use Nano-PDF when an agent needs to update existing PDF slides or insert matching new slides from plain-language instructions. The workflow is bounded to PDF page edits and deck-consistent slide generation, not general design automation. ## Installation Use the upstream install or setup path that matches your environment: - pip install nano-pdf - brew install poppler tesseract - Make sure you've installed poppler and tesseract for your platform. After installation, restart your terminal to refresh PATH. Run which pdftotext and which tesseract to verify they're accessible. - git clone https://github.com/gavrielc/Nano-PDF.git Requirements and caveats from upstream: - [](https://www.python.org/downloads/) - **Note:** This tool uses Gemini 3 Pro Image which requires a paid API tier. See [pricing](https://ai.google.dev/pricing) for details. - Python 3.10+ Basic usage or getting-started notes: - ## Example - ### Using pip - bash - Source: https://github.com/gavrielc/Nano-PDF - Extracted from upstream docs: https://raw.githubusercontent.com/gavrielc/Nano-PDF/HEAD/README.md ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/revise-pdf-slides-with-natural-language-edits/)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.