Automate Notion databases and workflows with cross-platform integrations, templates, and intelligent triggers. Based on n8n's Notion workflow templates.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionnotion-automationExecute the skills CLI command in your project's root directory to begin installation:
Fetches notion-automation from claude-office-skills/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:
Restart Cursor to activate notion-automation. Access via /notion-automation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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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
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Automate Notion databases and workflows with cross-platform integrations, templates, and intelligent triggers. Based on n8n's Notion workflow templates.
This skill covers:
workflow: "Form to Notion"
trigger: typeform_submission OR google_form
steps:
1. capture_data:
fields: [name, email, company, message, source]
2. enrich_data:
clearbit: lookup_by_email
append: [company_size, industry]
3. create_notion_page:
database_id: "leads_database"
properties:
Name: "{name}"
Email: "{email}"
Company: "{company}"
Status: "New"
Source: "{source}"
Created: "{timestamp}"
content:
- heading: "Contact Details"
- text: "{message}"
- divider
- heading: "Enriched Data"
- text: "Industry: {industry}, Size: {company_size}"
4. notify:
slack:
channel: "#new-leads"
message: "New lead: {name} from {company}"
workflow: "Weekly Notion Digest"
schedule: "Monday 9am"
steps:
1. query_notion:
database: "Tasks"
filter:
- property: "Due Date"
date: this_week
- property: "Status"
not_equals: "Done"
2. group_by_assignee:
method: aggregate
3. generate_digest:
for_each: assignee
template: |
Hi {assignee},
Here are your tasks for this week:
{for task in tasks}
• {task.title} - Due: {task.due_date}
{endfor}
Total: {task_count} tasks
4. send_emails:
to: each_assignee
subject: "Your Weekly Task Digest"
workflow: "Slack to Notion Task"
trigger: slack_reaction (✅ emoji)
steps:
1. capture_message:
extract: [text, author, channel, timestamp, thread]
2. parse_task:
ai_extraction:
title: extract_action_item
due_date: extract_date_if_mentioned
priority: infer_from_context
3. create_notion_task:
database: "Tasks"
properties:
Title: "{extracted_title}"
Status: "To Do"
Source: "Slack - #{channel}"
Assignee: "{slack_user_to_notion_user}"
Due Date: "{due_date}"
Priority: "{priority}"
content:
- quote: "{original_message}"
- text: "Created from Slack message"
- link: "{slack_permalink}"
4. thread_reply:
slack:
thread_ts: "{timestamp}"
message: "✅ Task created in Notion: {notion_url}"
workflow: "Google Calendar ↔ Notion"
trigger: bidirectional
google_to_notion:
trigger: calendar_event_created
action:
- create_notion_page:
database: "Meetings"
properties:
Title: "{event.title}"
Date: "{event.start}"
Attendees: "{event.attendees}"
Location: "{event.location}"
Calendar Link: "{event.link}"
notion_to_google:
trigger: notion_page_created
filter: database == "Meetings"
action:
- create_calendar_event:
title: "{page.Title}"
start: "{page.Date}"
description: "{page.Notes}"
attendees: "{page.Attendees}"
workflow: "Content Publishing Pipeline"
database_structure:
properties:
- Title: title
- Status: select [Idea, Writing, Review, Published]
- Author: person
- Due Date: date
- Platform: multi_select [Blog, LinkedIn, Twitter]
- Content: rich_text
automations:
status_changed_to_review:
- notify_slack: "#content-review"
- assign_reviewer: round_robin
- set_due_date: 3_days_from_now
status_changed_to_published:
- post_to_platforms: based_on_Platform_property
- update_analytics_tracker: add_row
- archive_after: 7_days
project_database:
name: "Projects"
properties:
- Name: title
- Status: select
options: [Planning, In Progress, Review, Complete]
- Priority: select
options: [P0, P1, P2, P3]
- Owner: person
- Team: multi_select
- Start Date: date
✓Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ 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.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.7★★★★★35 reviews- HHiroshi Singh★★★★★Dec 24, 2024
Keeps context tight: notion-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
- NNoah Ghosh★★★★★Dec 20, 2024
notion-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- GGanesh Mohane★★★★★Dec 12, 2024
notion-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.
- MMia Mensah★★★★★Nov 19, 2024
notion-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.
- MMia Kim★★★★★Nov 11, 2024
Solid pick for teams standardizing on skills: notion-automation is focused, and the summary matches what you get after install.
- HHassan Perez★★★★★Oct 10, 2024
Useful defaults in notion-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- NNoor Martin★★★★★Oct 2, 2024
We added notion-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- IIra Farah★★★★★Sep 25, 2024
notion-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- RRahul Santra★★★★★Sep 5, 2024
Solid pick for teams standardizing on skills: notion-automation is focused, and the summary matches what you get after install.
- PPratham Ware★★★★★Aug 24, 2024
We added notion-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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