Alternatives to competitive-landscape
50 AI Skills apps to use instead, best rated first.
Top picks
- W
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
- O
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
- B
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
- I
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
- F
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
finishing-a-development-branch
Guides completion of development work by presenting clear options
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About competitive-landscape
competitive-landscape
Analyze competition, identify differentiation opportunities
competitive-landscape is an agent skill from the wshobson/agents collection for analyzing competition and building a market positioning strategy. It uses established frameworks, including Porter's Five Forces, Blue Ocean Strategy and positioning maps, to show how strong the competitive pressure in a market is and where a product could stand out. The Five Forces part covers the threat of new entrants and the barriers to entry that protect incumbents, along with the other forces that shape industry attractiveness. Blue Ocean Strategy helps look for uncontested market space rather than competing head to head, and positioning maps show where competitors sit on the dimensions buyers care about. The goal, as the skill describes it, is to identify differentiation opportunities and craft a defensible competitive advantage. It suits founders, product managers and marketers preparing a product plan, a pitch or a launch, and it is a structured way to organize research on competitors rather than a list of opinions. The skill itself does not gather live market data, so the findings depend on the information you bring to it. It is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 10.8K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- wshobson
- Category
- AI Skills
- Website
- github.com/wshobson/agents/competitive-landscape