Description (What It Does)
- A centralized, crowd-sourced repository of high-impact prompts and end-to-end workflows for AI-powered “vibe coding” tools (Cursor, Bolt, Lovable).
- Users can search, filter, and rate recipes by tool, use-case, and token-cost—then copy or fork them directly into their own projects.
Pain Point It Solves
- Many developers and creators struggle to find well-crafted prompts and workflows for emerging AI coding tools.
- Best practices live scattered across forums, Discord channels, and blog posts—making discovery slow and experimentation error-prone.
- The Vault gives everyone instant access to vetted, community-rated recipes, eliminating guesswork and wasted token spend.
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Marketing Strategies (How to Promote This Directory)
- Community Launch Campaign: Seed the Vault by inviting power users from r/ChatGPTCoding, Discord “vibe coding” servers, and Twitter Spaces—rewarding top contributors with badges and early access to premium filters.
- Social Proof Showcases: Regularly tweet or post on LinkedIn “Top 5 Prompts of the Month” with real before-and-after code snippets to drive FOMO and link back to the directory.
- Prompt-Engineering Webinars: Host monthly “Live Tweak” workshops where users refine prompts together, then publish the winning recipes in a “Community Champion” section.
- SEO-Driven How-To Guides: Publish blog posts like “5 Prompt Hacks for Cursor Refactoring” targeting long-tail searches around “Cursor prompt examples” or “Bolt workflow recipes.”
Relevant Keywords
- AI prompt library
- vibe coding recipes
- Cursor prompt examples
- Bolt prompt workflows
- Lovable code recipes
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Data Points Needed to Build This Directory
- Prompt Text & Metadata: Raw prompt, target tool, creation date, author.
- Use-Case Tags: Refactoring, full-stack scaffold, UI prototyping, test generation, data-processing.
- Token-Cost Estimate: Approximate tokens consumed per API call.
- User Ratings & Reviews: Star rating, up/down votes, written feedback.
- Success Metrics: Sample input/output snippets, execution time, error rate.
- Source Links: Origin URL (forum post, Gist, blog) for attribution.
How to Source These Data Points
- “Submit a Recipe” Form: Let users upload prompt text, sample I/O, and metadata—enforcing required fields and parseable examples.
- Automated Harvesting: Crawl GitHub Gists tagged #cursor-prompt or #bolt-recipe and parse front-matter for metadata.
- Editorial Curation: A small core team vets submissions for clarity, correctness, and security (e.g., stripping out malicious code).
Why It’s Unique
- Tool-Specific & Crowd-Driven: Unlike generic prompt aggregators, the Vault focuses exclusively on Cursor, Bolt, and Lovable—ensuring each recipe is tailored to its quirks and strengths.
- Quality Signals Built In: Token-cost estimates, execution success rates, and community ratings let users pick the most efficient, reliable prompts at a glance.
- Evolving Knowledge Base: Monthly “Recipe Roundups” highlight new and improved recipes, keeping the directory fresh as these fast-moving tools advance.
- Educational Value: Beyond just listing prompts, the Vault teaches prompt-engineering best practices via inline tips and “What Makes This Work” annotations.
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