Alternatives to prospecting
50 AI Skills apps to use instead, best rated first.
Top picks
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webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
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content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
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openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
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batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
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implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
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frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning

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Guides completion of development work by presenting clear options

test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About prospecting

prospecting
Find, qualify, and build a list of prospects to reach out to, across B2B SaaS
prospecting is a marketing agent skill from the marketingskills collection for finding, qualifying and building lists of prospects to contact. It covers four motions, and the workflow forks at intake depending on who you sell to. For other SaaS companies, it qualifies on ICP fit, tech stack match and growth signals such as funding, hiring and product velocity, drawing on sources like LinkedIn, BuiltWith, Crunchbase, Apollo, Clay and Product Hunt. For non-SaaS B2B, it qualifies on industry, size, geography and buying signals such as trigger events and vendor changes, using Apollo, ZoomInfo, Clay, LinkedIn Sales Navigator and industry directories. For local small businesses, it checks that the business is active, whether it has a website, its proximity and access to a decision-maker, using Google Maps, Yelp, local directories and business websites. The fourth motion, demand-signal discovery, is for finding your first customers, design partners or beta users from public pain signals, such as forum threads, reviews, GitHub issues, job posts and launch announcements, where each lead needs a cited source rather than only firmographic fit. The skill's goal is a verified, scored lead sheet ready for outreach, with the compliance posture suited to each motion. Before starting, it reads the product marketing context so the ideal customer profile is already defined. The skill passes Gen Agent Trust Hub and Socket on skills.sh, and Snyk shows a warning. It has about 60,500 installs. Install it with npx skills add https://github.com/coreyhaines31/marketingskills --skill prospecting.
- Price
- Free
- Made by
- coreyhaines31
- Category
- AI Skills
- Website
- github.com/coreyhaines31/marketingskills/prospecting
