AI Skill Report Card
Generating Social Media Hashtags
Social Media Hashtag Generation
Quick Start8 / 15
Pythondef generate_hashtags(content, platform, audience="general"): hashtag_sets = { "instagram": { "trending": ["#viral", "#explore", "#fyp", "#trending"], "engagement": ["#love", "#instagood", "#photooftheday", "#beautiful"], "niche": extract_keywords(content, limit=15) }, "twitter": { "trending": get_twitter_trends(), "engagement": ["#MondayMotivation", "#ThrowbackThursday", "#OOTD"], "niche": extract_keywords(content, limit=8) } } return combine_hashtags(hashtag_sets[platform], max_count=platform_limits[platform])
Recommendation▾
The Quick Start code example is pseudo-code that wouldn't actually run - provide real, actionable hashtag generation steps instead
Workflow12 / 15
Progress:
- Analyze content for key themes and topics
- Identify target platform and audience
- Research current trending hashtags
- Generate niche-specific hashtags
- Combine broad reach + niche + trending hashtags
- Optimize for platform limits and best practices
- Test and track performance
Platform-Specific Strategy
Instagram (30 hashtags max):
- 5-8 trending/popular hashtags (1M+ posts)
- 10-15 medium hashtags (100K-1M posts)
- 7-12 niche hashtags (<100K posts)
Twitter/X (2-3 hashtags max):
- 1 trending hashtag
- 1-2 niche/branded hashtags
LinkedIn (3-5 hashtags max):
- Industry-specific hashtags
- Professional development tags
TikTok (3-5 hashtags max):
- Trending sounds/challenges
- Content category tags
Recommendation▾
Examples show good input/output but need more diverse scenarios (B2B vs B2C, different industries, crisis communication)
Examples15 / 20
Example 1: Input: "Morning coffee and productivity tips for remote workers" Instagram Output:
#coffee #productivity #remotework #workfromhome #morningroutine #entrepreneur #motivation #coffeelover #digitalNomad #hustle #focus #caffeine #productive #WFH #lifestyle #success #grind #mondayMotivation #worklife #homeoffice #coffeeaddict #businessowner #goaldigger #mindset #coffeetime #workflow #efficiency #laptoplifestyle #freelancer #productivity101
Example 2: Input: "Vegan pasta recipe with seasonal vegetables" Twitter Output:
#veganrecipes #plantbased #seasonaleating
Example 3: Input: "AI automation tools for small businesses" LinkedIn Output:
#artificialintelligence #smallbusiness #automation #productivity #digitaltransformation
Recommendation▾
Reduce verbose explanations of basic social media concepts that Claude already understands - focus on the actual generation methodology
Best Practices
Research Phase:
- Check hashtag popularity on each platform
- Monitor competitor hashtag usage
- Use platform analytics to track performance
- Stay updated on trending topics
Hashtag Mix Strategy:
- 30% high-competition (broad reach)
- 50% medium-competition (targeted)
- 20% low-competition (niche community)
Timing Considerations:
- Research peak activity times for your audience
- Align with trending events/holidays
- Use time-sensitive hashtags strategically
Content Alignment:
- Ensure hashtags match actual content
- Use branded hashtags consistently
- Create campaign-specific hashtags
Common Pitfalls
Over-Hashtagging:
- Don't use maximum limit on every platform
- Twitter: Engagement drops with 3+ hashtags
- LinkedIn: 3-5 hashtags perform best
Generic Hashtags Only:
- #love #instagood = high competition, low discovery
- Mix popular with niche-specific tags
Irrelevant Hashtags:
- Don't use trending hashtags unrelated to content
- Avoid banned or shadowbanned hashtags
Platform Confusion:
- Instagram hashtags don't work on Twitter
- Professional tone required for LinkedIn
No Performance Tracking:
- Monitor which hashtags drive engagement
- A/B test different hashtag combinations
- Remove underperforming tags
Outdated Hashtags:
- Trending hashtags expire quickly
- Update hashtag lists monthly
- Remove hashtags from completed campaigns