# Pptx Posters > Crea y audita pósters científicos editables en PowerPoint (.pptx) sin macros, a partir de contenido y assets locales aprobados por el autor, con controles físicos, de impresora, accesibilidad y seguridad. Fuente: https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/pptx-posters Markdown: https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/pptx-posters.md Repositorio: https://github.com/K-Dense-AI/scientific-agent-skills Autor: K-Dense-AI Licencia: MIT Actualizado: el mes pasado Coste de contexto: 75 tok instalada, 2.5k tok al activarse, 61.3k tok con todos los archivos del bundle Bundle: 21 archivos, 239 KB Permisos que pide: read write bash glob grep python ## Instalación Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina. ```bash # Claude Code npx -y skills add K-Dense-AI/scientific-agent-skills --skill pptx-posters --agent claude-code # Cursor npx -y skills add K-Dense-AI/scientific-agent-skills --skill pptx-posters --agent cursor # Codex npx -y skills add K-Dense-AI/scientific-agent-skills --skill pptx-posters --agent codex # Gemini CLI npx -y skills add K-Dense-AI/scientific-agent-skills --skill pptx-posters --agent gemini # Windsurf npx -y skills add K-Dense-AI/scientific-agent-skills --skill pptx-posters --agent windsurf # Cline npx -y skills add K-Dense-AI/scientific-agent-skills --skill pptx-posters --agent cline ``` ## Qué hace - Genera un póster científico de una diapositiva en `.pptx` puro (sin macros) a partir de un manifiesto JSON estricto y local. - Exige gates obligatorios: contenido aprobado por el autor, cada cifra/cita resuelta, requisitos de conferencia e impresora confirmados. - Verifica dimensiones físicas, sangrado, márgenes, escala de impresión, fuentes y DPI antes de generar el diseño. - Detecta archivos `.pptm`, macros, relaciones externas u OLE embebidos y rechaza plantillas no confiables. ## Cuándo usarla - El entregable solicitado es específicamente un póster de investigación/conferencia editable en PowerPoint. - Se necesitan controles exactos de dimensiones físicas, impresora, accesibilidad, procedencia y seguridad del paquete. ## Cuándo no - No lo uses para una solicitud de póster no especificada solo porque PowerPoint esté disponible. - Se detiene si el autor no ha aportado contenido exacto y verificado, o si un asset es remoto, sin hash o no aprobado. ## Qué la activa - "Genera un póster científico en PowerPoint para esta conferencia" - "Audita este póster .pptx contra los requisitos de la impresora" - "Valida que este póster no tenga macros ni relaciones externas" ## Antes de instalar - Requiere Python 3.10+, uv, y las versiones exactas python-pptx 1.0.2, Pillow 12.3.0 y lxml 6.1.1. - Necesita en el PATH: python - makes network requests ## Archivos - SKILL.md — 10 KB - assets/generation_dependencies.json — 70 B - assets/poster_manifest_template.json — 4 KB - assets/poster_quality_checklist.md — 8 KB - references/manifest_spec.md — 9 KB - references/poster_content_guide.md — 8 KB - references/poster_design_principles.md — 10 KB - references/poster_layout_design.md — 8 KB - references/pptx_security.md — 9 KB - references/security_validation.md — 4 KB - references/source_ledger.md — 12 KB - scripts/_common.py — 13 KB - scripts/_manifest.py — 45 KB - scripts/_pptx.py — 53 KB - scripts/check_layout.py — 6 KB - scripts/check_palette.py — 5 KB - scripts/generate_poster.py — 15 KB - scripts/inspect_pptx.py — 1 KB - scripts/inventory_images.py — 9 KB - scripts/plan_export.py — 8 KB - scripts/validate_manifest.py — 2 KB ## SKILL.md Reproducido tal cual desde K-Dense-AI/scientific-agent-skills bajo MIT. Esta sección es el documento original y está en inglés. # PPTX posters ## Scope Use this skill only when the requested source/deliverable is an editable PowerPoint poster. Do not route an unspecified poster request here merely because PowerPoint is available. Version 2.0 generates a real one-slide `.pptx` from strict local JSON. It does not use HTML conversion, external templates, schematic/image-generation services, API keys, environment files, network requests, or mandatory figure styles. ## Hard gates Stop instead of guessing when any gate is unmet: 1. The author has not supplied exact poster content and source records. 2. Any claim, number, citation, author, affiliation, funding statement, figure, license, or QR target is unresolved. 3. Current conference and printer requirements are not confirmed. 4. Author approval is not bound to the current manifest content hash. 5. An asset is remote, outside the manifest directory, unhashed, or unapproved. 6. An input is `.pptm`, contains macros/external relationships/OLE/embedded files, or is an untrusted template. 7. The requested workflow needs PowerPoint to be opened or executed automatically. 8. A script reports a package, layout, DPI, contrast, or output-plan blocker. Never fabricate missing material or leave a plausible placeholder. Drafts fail closed. ## Install exact generation dependencies From the skill directory: ```bash uv venv uv pip install "python-pptx==1.0.2" "Pillow==12.3.0" "lxml==6.1.1" ``` Generation requires exactly: ```text python-pptx==1.0.2 Pillow==12.3.0 lxml==6.1.1 ``` All CLIs use lazy optional imports, so `python -B scripts/.py --help` works without these packages. Use `-B` to avoid bytecode artifacts. ## Establish requirements before layout Record these separately: - physical trim width/height and orientation; - bleed on each edge; - safe margin inside trim; - PowerPoint canvas width/height; - uniform physical-artboard/canvas print scale; - conference maximum dimensions and delivery format; - printer trim, bleed, margin, scaling, color-mode, and proof requirements; - final-output font and raster-DPI thresholds, each labeled as a heuristic or tied to an exact source. - required font faces, workstation availability, embedding permission, and the substitution/proof workflow. There is no universal poster size. Microsoft currently limits each custom PowerPoint dimension to 1–56 inches and uses one size for all slides. If the physical artboard is larger, use a proportional canvas only when the printer confirms scaling. Read `references/poster_layout_design.md`. ## Build the manifest Copy `assets/poster_manifest_template.json` into the project. The template is deliberately invalid until every replacement token, false confirmation, and draft approval is resolved. Follow `references/manifest_spec.md` and `references/poster_content_guide.md`. The manifest requires: - exact source IDs for document metadata, every element, and every asset; - `author_verified: true` on every source; - `author_approved: true` on every element and asset; - local PNG/JPEG paths and lowercase SHA-256 hashes; - exact provenance and license/permission for every optional image; - approved alt text and, when needed, a source-bound native long description; - explicit reading order and design rectangles; - visible exact fallback URL/text for every local QR image; - confirmed conference/printer rules; - declared sRGB contrast pairs and redundant data encoding; - approval bound to canonical manifest content. To obtain the content hash after all non-approval fields pass: ```bash python -B scripts/validate_manifest.py poster.json \ --print-content-hash ``` Give that exact manifest and hash to the author. Then set `approval.status` to `approved`, record approver and offset-aware timestamp, and copy the hash. Any non-approval edit invalidates approval. Validate the approved manifest and local assets: ```bash python -B scripts/validate_manifest.py poster.json ``` ## Audit assets and palette before generation ```bash python -B scripts/inventory_images.py poster.json \ --output poster.assets.json python -B scripts/check_palette.py poster.json \ --output poster.palette.json python -B scripts/plan_export.py poster.json \ --output poster.export-plan.json ``` Effective DPI is pixels divided by final placed inches, not image metadata DPI. The inventory fully decodes bounded images and blocks EXIF/XMP/comments and embedded text/application metadata; strip those offline, then rehash and reapprove the asset. Contrast uses WCAG 2.2 sRGB mathematics; applying those values to a physical poster is a design target, not a standalone conformance claim. Keep color-redundant labels, markers, shapes, patterns, or line styles. If the printer requires CMYK, the plan blocks print-readiness until a printer-approved conversion/profile and proof exist. Do not claim that a native PowerPoint PDF is CMYK-compliant. Read `references/poster_design_principles.md`. ## Generate the PPTX Use a new output path: ```bash python -B scripts/generate_poster.py poster.json \ --output poster.pptx \ --report poster.generation.json ``` Generation: - creates a new blank presentation; it never loads a user template; - sets the approved canvas before adding content; - uses one native title placeholder, native text boxes, and local pictures; - preserves image aspect ratio with `contain` fitting; - disables text auto-shrink; - adds elements in approved reading order; - writes approved picture alt descriptions and explicit text language to PresentationML; - does not embed fonts, audio, video, OLE, ActiveX, links, or other media; - removes default printer-settings binary data and normalizes package timestamps; - inspects the package before and after the alt-text patch; - refuses overlaps, out-of-bounds shapes, low final font size/DPI, unsafe packages, and existing destinations. It renders exact manifest text. It does not compose, summarize, research, or correct scientific content. ## Run final technical audits ```bash python -B scripts/inspect_pptx.py poster.pptx \ --output poster.package.json python -B scripts/check_layout.py poster.pptx \ --manifest poster.json \ --output poster.layout.json ``` The package inspector reads bounded ZIP metadata and selected XML only. It never extracts members or opens/executes the presentation. It rejects: - every non-`.pptx` extension, including `.pptm`; - packages outside the bounded one-slide generator profile; - macro/VBA, ActiveX, custom UI, OLE, embedded, executable, and binary parts; - every external relationship, including remote linked images and hyperlinks; - unsafe/duplicate ZIP paths, symlinks, encryption, oversized expansion, and excessive compression ratios; - malformed or entity-bearing inspected XML; - missing internal relationship targets. Read `references/pptx_security.md`. ## Manual PowerPoint and accessibility gate Automation cannot certify accessibility, text rendering, or scientific accuracy. In a fully patched PowerPoint: 1. Open only the generated and technically clean file. 2. Run Review > Check Accessibility. 3. Inspect the Reading Order pane and object names. 4. Review every alt text and native long description. 5. Test keyboard and screen-reader navigation. 6. Confirm fonts are installed/licensed; check embedding choices, substitution, glyphs, equations, overflow, contrast, and all edges. 7. Verify that color is never the only encoding. 8. Test every QR code and its visible fallback URL/text. 9. Obtain author sign-off on all content and citations. Microsoft's 18 pt slide recommendation is not a universal poster minimum. Evaluate font size at final physical output using the manifest's labeled basis and proofs. ## Export and print Use the approved export plan. When PDF is required, export from the reviewed PowerPoint using Standard/high print quality rather than Minimum size. Independently verify the PDF: - page/artboard dimensions, orientation, trim, and bleed; - one-page output if required; - fonts, clipping, glyphs, equations, and image resampling; - tags, reading order, alt text, language, and links; - RGB/CMYK conversion and physical color proof; - conference naming, file-size, and upload rules. Print a reduced-scale proof and obtain the printer's required proof. Re-run all checks after any change. Use `assets/poster_quality_checklist.md` for release sign-off. ## Bundled CLIs - `validate_manifest.py` — strict content/provenance/approval validator. - `generate_poster.py` — exact-pinned local PPTX generator. - `inspect_pptx.py` — non-executing ZIP/XML security inspector. - `check_layout.py` — bounds, overlap, reading-order, and final-font checker. - `inventory_images.py` — asset hash/metadata/effective-DPI manifest. - `check_palette.py` — WCAG contrast and heuristic palette report. - `plan_export.py` — dimensions, scale, fonts, color, media, export, and print preflight. ## References - `references/manifest_spec.md` - `references/poster_content_guide.md` - `references/poster_design_principles.md` - `references/poster_layout_design.md` - `references/pptx_security.md` - `references/security_validation.md` - `references/source_ledger.md` ## Dónde encaja - Categoría: [Documentos](https://skillsagentes.com/categorias/documentos.md) — Lee, escribe y transforma archivos PDF, DOCX, XLSX y PPTX. - Creador: [K-Dense-AI](https://skillsagentes.com/creators/k-dense-ai.md) — 163 skills en el directorio - [Todas las skills](https://skillsagentes.com/skills.md) - [Ranking de instalaciones](https://skillsagentes.com/ranking.md) ## Otras skills del mismo repositorio - [Citation Management](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/citation-management.md): Gestión integral de citas académicas: busca en OpenAlex, PubMed y Google Scholar, extrae metadatos precisos, valida citas y genera entradas BibTeX correctamente formateadas. - [Scientific Slides](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/scientific-slides.md): Crea decks de diapositivas y presentaciones para charlas de investigación: PowerPoint, presentaciones de conferencia, seminarios, defensas de tesis. Da estructura, plantillas, guía de tiempos y validación visual. - [Literature Review](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/literature-review.md): Realiza revisiones bibliográficas sistemáticas y completas usando varias bases académicas (PubMed, arXiv, bioRxiv, Semantic Scholar). Genera markdown y PDF con citas verificadas en varios estilos (APA, Nature, Vancouver). - [Infographics](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/infographics.md): Crea infografías profesionales con Nano Banana Pro AI y refinamiento iterativo inteligente. Usa Gemini 3.6 Flash para revisar la calidad e integra investigación con Perplexity Sonar. Soporta 10 tipos, 8 estilos y paletas para daltonismo. - [Latex Posters](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/latex-posters.md): Crea pósteres de investigación profesionales en LaTeX con beamerposter, tikzposter o baposter, para conferencias y comunicación científica: layout, colores, columnas múltiples e integración de figuras. --- Skills Agentes · [Índice de páginas en markdown](https://skillsagentes.com/sitemap.md) · [Inicio](https://skillsagentes.com/index.md)