Open source alternatives to keyword-research
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Getgithub-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
- O
opensource-pipeline
Getopensource-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
- A
andrej-karpathy-skills
Getandrej-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
- M
microsoft/markitdown
Getmarkitdown-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
- O
od-contribute
Getod-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
- G
github-deep-research
Getgithub-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 keyword-research
keyword-research
Discover keyword opportunities, evaluate metrics and SERPs
Keyword research is an agent skill that turns seed topics into a prioritized set of keyword opportunities. You give it one or more seed topics, products, pages, competitors or audience problems, and it uses OpenSEO's data through MCP tools to evaluate the keywords' metrics and the search results pages behind them. The output is meant to help you decide what to target, which terms to save, and what to research next. Promising terms can be saved and tagged in OpenSEO for later use, which lets the other OpenSEO skills pick them up. The required input is an OpenSEO project ID. If you do not have one, the skill first lists your projects. You can add a market, location or language, and if that choice would materially change the keyword metrics and it is unclear, the skill asks you rather than guessing. Otherwise it uses the default settings of the MCP tools. The skill draws on the project-context tools shared with the app and other agents. It 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: Pass. It is for marketers and content teams who want a shortlist of terms to pursue, with the evidence behind each one.
- Price
- Free
- Made by
- every-app
- Category
- AI Skills
- Website
- github.com/every-app/open-seo/keyword-research