
Hashtag Analyzer
This is a straightforward tool for analyzing hashtag performance across social platforms like Instagram and Twitter. You feed it a hashtag and it structures analysis frameworks, pulls related tags, and helps plan hashtag strategy. It's designed as a "centaur" skill where Claude handles the research and synthesis but you make the actual strategic calls. The commands are simple (analyze, related, strategy) and it's upfront about what it can't do: it won't replace proper market research or have access to proprietary competitor data. Good for content marketers who need structured hashtag research without building their own scraper, though the actual data sources aren't specified in the docs.
- skills.sh installs
- 237
- GitHub stars
- 150
- last updated
- Aug 21, 2026
Install
$ npx -y skills add guia-matthieu/clawfu-skills --skill hashtag-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
Files
Hashtag Analyzer
Analyze and discover effective hashtags for social media marketing campaigns.
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures analysis frameworks | Strategic priorities |
| Synthesizes market data | Competitive positioning |
| Identifies opportunities | Resource allocation |
| Creates strategic options | Final strategy selection |
| Suggests implementation approaches | Execution decisions |
Dependencies
pip install click requests
Commands
python scripts/main.py analyze "#marketing" --platform instagram
python scripts/main.py related "#startup" --count 20
python scripts/main.py strategy "@competitor" --platform twitter
Skill Boundaries
What This Skill Does Well
- Structuring strategic analysis
- Identifying market opportunities
- Creating strategic frameworks
- Synthesizing competitive data
What This Skill Cannot Do
- Replace market research
- Guarantee strategic success
- Know proprietary competitor info
- Make executive decisions
Skill Metadata
Sponsors
Details
- Repository
- github.com/guia-matthieu/clawfu-skills
- Categories
- Data Science & ML, Debugging, Productivity & Planning
- First seen
- Jun 3, 2026
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