obsidian-vault
/mnt/d/Obsidian Vault/AI Research/
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Install Skill
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Installation Guide
How to use obsidian-vault on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
obsidian-vault
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches obsidian-vault from mattpocock/skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate obsidian-vault. Access via /obsidian-vault in your agent's command palette.
Security Notice
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.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Obsidian Vault
Vault location
/mnt/d/Obsidian Vault/AI Research/
Mostly flat at root level.
Naming conventions
- Index notes: aggregate related topics (e.g.,
Ralph Wiggum Index.md,Skills Index.md,RAG Index.md) - Title case for all note names
- No folders for organization - use links and index notes instead
Linking
- Use Obsidian
[[wikilinks]]syntax:[[Note Title]] - Notes link to dependencies/related notes at the bottom
- Index notes are just lists of
[[wikilinks]]
Workflows
Search for notes
# Search by filename
find "/mnt/d/Obsidian Vault/AI Research/" -name "*.md" | grep -i "keyword"
# Search by content
grep -rl "keyword" "/mnt/d/Obsidian Vault/AI Research/" --include="*.md"
Or use Grep/Glob tools directly on the vault path.
Create a new note
- Use Title Case for filename
- Write content as a unit of learning (per vault rules)
- Add
[[wikilinks]]to related notes at the bottom - If part of a numbered sequence, use the hierarchical numbering scheme
Find related notes
Search for [[Note Title]] across the vault to find backlinks:
grep -rl "\\[\\[Note Title\\]\\]" "/mnt/d/Obsidian Vault/AI Research/"
Find index notes
find "/mnt/d/Obsidian Vault/AI Research/" -name "*Index*"
List & Monetize Your Skill
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Use Cases
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
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
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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Reviews
- DDhruvi Jain★★★★★Dec 28, 2024
obsidian-vault fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- EEmma Ghosh★★★★★Dec 16, 2024
obsidian-vault is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- HHenry Johnson★★★★★Dec 12, 2024
Useful defaults in obsidian-vault — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- CChinedu Nasser★★★★★Dec 4, 2024
Registry listing for obsidian-vault matched our evaluation — installs cleanly and behaves as described in the markdown.
- OOshnikdeep★★★★★Nov 19, 2024
obsidian-vault is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- JJames Zhang★★★★★Nov 11, 2024
obsidian-vault reduced setup friction for our internal harness; good balance of opinion and flexibility.
- JJin Garcia★★★★★Nov 7, 2024
obsidian-vault fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- HHiroshi Rao★★★★★Nov 3, 2024
obsidian-vault has been reliable in day-to-day use. Documentation quality is above average for community skills.
- MMin Kim★★★★★Oct 26, 2024
We added obsidian-vault from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- HHiroshi Srinivasan★★★★★Oct 22, 2024
Solid pick for teams standardizing on skills: obsidian-vault is focused, and the summary matches what you get after install.
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