Comprehensive travel planning assistant that builds personalized itineraries, budgets, and cultural guides from saved preferences.
Run in your terminal
Collects detailed travel preferences on first use (budget level, travel style, interests, dietary restrictions, previous destinations) and maintains a database for personalized recommendations across future trips
Generates complete trip plans including day-by-day itineraries with timing and costs, budget breakdowns by category, packing checklists tailored to
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontravel-plannerExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/ailabs-393/ai-labs-claude-skills --skill travel-plannerFetches travel-planner from ailabs-393/ai-labs-claude-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 travel-planner. Access via /travel-plannerin 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.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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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
Package manager
npx skills add https://github.com/ailabs-393/ai-labs-claude-skills --skill travel-plannerWorks with
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total installs
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this week
344
GitHub stars
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upvotes
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
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.
ailabs-393/ai-labs-claude-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
pproenca/dot-skills
jezweb/claude-skills
Useful defaults in travel-planner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend travel-planner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
travel-planner fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: travel-planner is focused, and the summary matches what you get after install.
travel-planner has been reliable in day-to-day use. Documentation quality is above average for community skills.
travel-planner has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: travel-planner is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: travel-planner is focused, and the summary matches what you get after install.
travel-planner fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
travel-planner is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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