Que fait jupyter-notebook-writing ?
Rédigez des exemples de notebooks Jupyter au niveau applicatif pour Milvus en utilisant un workflow prioritaire en Markdown avec jupyter-switch pour la conversion de format.
Rédigez des exemples de notebooks Jupyter au niveau applicatif pour Milvus en utilisant un workflow prioritaire en Markdown avec jupyter-switch pour la conversion de format.
Cette compétence permet aux développeurs et aux rédacteurs techniques de créer des notebooks Jupyter illustrant l'utilisation de Milvus, une base de données vectorielle open-source. Elle adopte une approche « Markdown-first » : le contenu est d'abord rédigé en Markdown (plus facile à versionner et à réviser), puis converti automatiquement en notebook Jupyter (.ipynb) via l'outil jupyter-switch. Cela garantit une séparation claire entre le code et la documentation, facilite la maintenance et permet de produire des exemples d'application cohérents. La compétence prend en charge les workflows avec Claude Code, Cursor ou tout éditeur supportant les agents IA, et s'intègre directement dans le pipeline de documentation technique de Milvus. Le résultat final est un notebook prêt à être exécuté, avec des cellules de code et de documentation correctement organisées.
npx skills add https://github.com/zc277584121/marketing-skills/tree/main/skills/jupyter-notebook-writingInstalled? Explore more Rédaction et édition skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
Rédigez des exemples de notebooks Jupyter au niveau applicatif pour Milvus en utilisant un workflow prioritaire en Markdown avec jupyter-switch pour la conversion de format.
This repo contains 12 individual skills — each has its own dedicated page.
Take focused, region-specific screenshots from web pages. Navigates to the right page based on user context (URL, search query, social media post), locates the target region via DOM selectors, and crops to a clean, focused screenshot.
Automate Chrome browser tasks using agent-browser CLI. Navigate pages, fill forms, click buttons, take screenshots, extract data, and replay recorded workflows — all inside the user's real Chrome session.
Adapt and rewrite content for different platforms (LinkedIn, X, Reddit, English blog, WeChat). Each platform has its own tone, format, and length requirements.
Fetch, store, and visualize GitHub repository traffic data (views, clones, referrers, stars) with trend charts. Requires repo push access.
Generate illustration images for articles and documentation with a Codex-first workflow, OpenAI API fallback, and Gemini fallback.
Convert local Markdown files to Feishu (Lark) documents with automatic image uploading. Uses the feishu-docx CLI tool.
Convert Mermaid code blocks in .mmd or .md files to animated GIFs with customizable animation styles (progressive, highlight walk, pulse flow, wave).
Convert Mermaid code blocks in Markdown files to PNG images using the mermaid.ink API.
Post-process raw screen recordings by removing silent segments and applying speed adjustments. Uses FFmpeg-based Python scripts to optimize video pacing automatically.
Review and adjust writing style to reduce AI-generated patterns, making text read more naturally and human-like. Supports Chinese and English.
Compress PNG and JPEG screenshots in place using pngquant and jpegoptim, keeping the original format for maximum compatibility.
Convert a video to multiple GIF variants with different quality/size tradeoffs. Generates a comparison set so the user can visually pick the best result.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors