meta-description▌
kostja94/marketing-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Guides optimization of the meta description tag for search engines and SERP display.
SEO On-Page: Meta Description
Guides optimization of the meta description tag for search engines and SERP display.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope (On-Page SEO)
- Meta description: CTA; unique value; target keyword; unique per page
Length by Language
Google truncates by pixel width (~920px desktop, ~680px mobile), not character count. Character limits are approximate—CJK chars are wider (~2× Latin), so fewer fit in the same pixels.
| Script / Language | Meta description (chars) | Notes |
|---|---|---|
| Latin (English, Spanish, French, etc.) | 150–160 | Desktop ~158; mobile ~120 |
| CJK (Chinese, Japanese, Korean) | 75–100 | Full-width chars; 70–80 conservative; 90–100 on some locales/fonts; use pixel checker when available |
| Cyrillic (Russian, etc.) | 140–155 | Slightly wider than Latin |
| Arabic, Hebrew | 70–90 | RTL; variable width |
Pixel tools: Use a pixel-accurate meta tag checker for CJK—font and locale affect display; character counts vary by source (65–80 to 90–120 in practice).
Multilingual: Use locale-specific limits; localize, don't just translate. See localization-strategy, translation.
Initial Assessment
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for brand voice and target keywords.
Identify:
- Page type: Homepage, landing, blog, product, etc.
- Primary keyword: Target search query
- Language / script: Apply length rule above
- CTA: Primary action (sign up, learn more, buy, etc.)
Best Practices
| Item | Guideline |
|---|---|
| Length | Per language (see table above); ~150 chars sweet spot for Latin; truncates beyond pixel limit |
| Unique | One per page; no duplicate descriptions |
| Intent | Answer "why should I click?"; match search intent |
| CTA | Include clear call-to-action when relevant |
| Keyword | Naturally include target keyword |
| Content | Include author, date, price where relevant |
| Impact | Does not affect ranking; well-written descriptions improve CTR 5–10% |
Output Format
- Recommended meta description (with character count for target language)
- Alternatives (if A/B testing)
GSC-Driven Optimization
For pages with low CTR despite good position, use google-search-console to identify opportunities. Optimize meta description for pages with CTR gap.
Related Skills
- google-search-console: CTR analysis, identify low-CTR pages for meta optimization
- title-tag: Title pairs with description in SERP
- localization-strategy, translation: Multilingual metadata; locale-specific length
- serp-features: SERP features; standard result appearance in context
- heading-structure: H1 should align with title; description summarizes content
- open-graph: og:description for social sharing (often mirrors or extends meta description)
- keyword-research: Keywords in content inform description
How to use meta-description 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 development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add meta-description
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches meta-description from GitHub repository kostja94/marketing-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate meta-description. Access the skill through slash commands (e.g., /meta-description) or your agent's skill management interface.
Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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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
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share 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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★73 reviews- ★★★★★Daniel Martin· Dec 28, 2024
Solid pick for teams standardizing on skills: meta-description is focused, and the summary matches what you get after install.
- ★★★★★Amelia Li· Dec 28, 2024
meta-description reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Dec 24, 2024
meta-description reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Layla Malhotra· Dec 24, 2024
Keeps context tight: meta-description is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Daniel Dixit· Dec 12, 2024
I recommend meta-description for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sophia Agarwal· Dec 4, 2024
Registry listing for meta-description matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sophia Garcia· Nov 27, 2024
meta-description is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kofi White· Nov 23, 2024
Useful defaults in meta-description — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Nia Bhatia· Nov 19, 2024
We added meta-description from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Sophia Martin· Nov 19, 2024
I recommend meta-description for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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