Write Milvus application-level Jupyter notebook examples as a DevRel workflow. Uses a Markdown-first approach — AI edits .md files, then converts to .ipynb via jupyter-switch.
Create detailed user stories, acceptance criteria, and feature specs
Example: Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example: Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example: Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example: Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Submit your Claude Code skill and start earning
epx add zc277584121/marketing-skills --skill jupyter-notebook-writingCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionjupyter-notebook-writingExecute the skills CLI command in your project's root directory to begin installation:
epx add zc277584121/marketing-skills --skill jupyter-notebook-writingFetches jupyter-notebook-writing from zc277584121/marketing-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/jupyter-notebook-writing
Restart Cursor to activate jupyter-notebook-writing. Access via /jupyter-notebook-writingin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
yt-dlp
lwmxiaobei/yt-dlp-skill · Productivity · same category
find-skills
kimyx0207/findskill · Productivity · same category
reverse-engineering-tools
gmh5225/awesome-game-security · Productivity · same category
awwwards-landing-page
eng0ai/eng0-template-skills · Productivity · same category
lua
mindrally/skills · Productivity · same category
skill-installer
openai/skills · Productivity · same category
Registry listing for jupyter-notebook-writing matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in jupyter-notebook-writing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend jupyter-notebook-writing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for jupyter-notebook-writing matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for jupyter-notebook-writing matched our evaluation — installs cleanly and behaves as described in the markdown.
jupyter-notebook-writing reduced setup friction for our internal harness; good balance of opinion and flexibility.
jupyter-notebook-writing reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: jupyter-notebook-writing is the kind of skill you can hand to a new teammate without a long onboarding doc.
jupyter-notebook-writing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend jupyter-notebook-writing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
showing 1-10 of 28