Open source alternatives to interview-me
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-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
Launchopensource-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
Launchandrej-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
Launchmarkitdown-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
Launchod-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
Launchgithub-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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modelcontextprotocol/server-memory
Knowledge graph-based persistent memory for maintaining context
netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics
Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About interview-me
interview-me
Extracts what the user actually wants instead of what they think they should
interview-me is an agent skill from Addy Osmani's agent-skills collection that works out what a person actually wants, rather than what they first asked for. The skill starts from the observation that people ask for a dashboard because that is what one asks for, and say make it faster without a number to hit. The cheapest moment to find that gap is before any plan, specification or code exists, because switching costs grow once building starts and a misfit gets locked in. The skill asks one question at a time, with its best guess attached, until it can predict what the person will say before they say it. The skill applies when the request is missing who the user is, why they want it, what success looks like or the binding constraint, when the request is conventional rather than specific, when the agent is tempted to start from assumptions it has not surfaced, and when two reasonable goals conflict, such as simplicity against flexibility, or cost against speed.
- Price
- Free
- Made by
- addyosmani
- Category
- AI Skills
- Website
- github.com/addyosmani/agent-skills/interview-me