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.
npx -y skills add guia-matthieu/clawfu-skills --skill sentiment-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills