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competitive-landscape

Open source alternatives to competitive-landscape

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Get

    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Get

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Get

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Get

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Get

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Get

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About competitive-landscape

C

competitive-landscape

Map SEO market leaders, winning content themes, keyword coverage, backlinks

Competitive landscape is an agent skill for SEO market research. It maps the market leaders in a search niche, the content themes that are working for them, their keyword coverage and backlinks, and the strategic gaps you could fill. The skill is built for the OpenSEO app and answers one question: who is winning this SEO market, what content is working for them, and where are the openings. Use it when you want a market-level view across several competitors. For a deep dive into a single domain, the skill points you to the separate competitor analysis skill. Its inputs are a project ID from OpenSEO, the topic, seed keywords, market or category or your own domain, and optionally a list of competitors you already know and a location or language. The project-context tools that hold this information are shared with the app and with other agents, so the context you set up in one place is available to the rest. The skill is published by every-app on skills.sh under the open-seo repository, which has about 23.6K stars. Its security audits show Gen Agent Trust Hub: Pass, Socket: Pass and Snyk: Warn. It is useful for marketers and founders planning which topics to compete on.

Price
Free
Made by
every-app
Category
AI Skills
Website
github.com/every-app/open-seo/competitive-landscape