Summary
This one's for processing customer feedback at scale without burning hours on manual categorization. It runs transformer models locally to analyze sentiment in reviews, NPS responses, or support tickets, giving you scored outputs from very positive to very negative. The batch processing handles CSVs and generates HTML reports with breakdown summaries. ClawFu built it with both heavy ML and lighter CPU options depending on your setup. Honestly most useful when you've got hundreds of text entries to sort through and need to spot patterns fast. The categorization table showing score ranges is helpful for setting up automations or dashboards based on sentiment thresholds.
Install to Claude Code
npx -y skills add guia-matthieu/clawfu-skills --skill sentiment-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
