| Environment diagnostic for the PPT family. Validates sn-image-base, API keys, Node runtime, and optional deps; interactively writes .env for required vars. Runs before sn-ppt-entry; does not modify sn-image-* skills.
npx skills add https://github.com/OpenSenseNova/SenseNova-Skills --skill sn-ppt-doctor
sn-ppt-entry / sn-ppt-creative / sn-ppt-standard, to verify env is wired.env, to confirmsn-ppt-entry reports missing-env error and tells you to come hereSN_TEXT_API_KEY, shared SN_CHAT_API_KEY, or global SN_API_KEYSN_VISION_API_KEY, shared SN_CHAT_API_KEY, or global SN_API_KEYSN_IMAGE_GEN_API_KEY or global SN_API_KEYsn-image-base is discoverable and sn_agent_runner.py --help works (auto-resolved as a sibling skill under the same skills/ directory; SN_IMAGE_BASE only needed for non-standard layouts)node --version >= 18$(pwd)/ppt_decks/ creatable and writable (deck_dir parent; fixed — not configurable via env)sn-ppt-standard/scripts/export_pptx/node_modules exists (run npm install on first use otherwise)SN_IMAGE_GEN_*, SN_CHAT_*, SN_TEXT_*, SN_VISION_*) — displays current value or "unset"pypdf / python-docx Python deps for doc parsing in sn-ppt-entrySingle-file entry; no package imports, no -m, no PYTHONPATH needed.
python $SKILL_DIR/ppt_doctor/check_environment.py # interactive
python $SKILL_DIR/ppt_doctor/check_environment.py --non-interactive
python $SKILL_DIR/ppt_doctor/check_environment.py --env-path /custom/.env
When used inside OpenClaw, /skill sn-ppt-doctor runs the same entry.
Plain text report — one line per check — then a summary. On any hard-check failure, enters interactive mode to fill .env (unless --non-interactive).
sn-image-* skills or their .envCreate beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take opensensenova/sn-ppt-doctor from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npm.
Without those the skill loads but fails at the first command.