Influencer: Boost Sales with Interactive Product Recommendations
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Influencer provides personalized product recommendations through simple user interactions, developed in TypeScript.
- β’When you need to integrate a product recommendation system into your startup's application
- β’When you want to leverage simple user interactions to drive product suggestions
- β’When you're looking for a TypeScript-based solution for personalized product recommendations
No specific prompt is provided in the README, but you can explore the codebase to find examples of how user interactions are used to generate recommendations
Skip the builder β one click puts this in Claude, Cursor, Antigravity and more.
Expect 20β40 minutes in a terminal β or let your AI agent drive it.
mkdir -p ~/.claude/skills/influencer && curl -fsSL https://workflowstacks.com/api/skills/influencer/claude-skill -o ~/.claude/skills/influencer/SKILL.mdOpens the app with this repo with the prompt ready to go β no copy-paste needed.
Influencer: Boost Sales with Interactive Product Recommendations is a medium TypeScript project (~4.6k lines across 162 code files, plus 1 test files). Expect some technical setup β comfortable with a terminal, or ask a developer. Last commit 46 months ago, no license file, has a test suite.
- 1README.mdStart here β what it does and how to install it
Skip the builder β one click puts this in Claude, Cursor, Antigravity and more.
Expect 20β40 minutes in a terminal β or let your AI agent drive it.
mkdir -p ~/.claude/skills/influencer && curl -fsSL https://workflowstacks.com/api/skills/influencer/claude-skill -o ~/.claude/skills/influencer/SKILL.mdOpens the app with this repo with the prompt ready to go β no copy-paste needed.
Are you the creator of this tool? and earn 85% of every sale.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work β importable n8n templates, outcome guides and Claude Desktop configs.
Cold Email Personalizer
Turn a list of prospects into genuinely specific, personalized cold-email openers β each scored 1-5 for specificity so you can kill the generic ones.
Outcome guidePersonalize your cold emails at scale
You keep prospects in a Google Sheet with a note about each. The workflow writes a specific one-line opener per prospect and scores it 1β5, so you can send the strong ones and fix the weak ones.
Outcome guideRecover abandoned carts with personalized emails
Export abandoned carts to a Google Sheet and the workflow drafts a warm, specific win-back email for each β referencing the actual product, without desperate discount-spam. You review and send.
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