Open source alternatives to convex-optimize
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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by shareAI-lab - A really interesting analysis of how coding agents like Claude
About convex-optimize
convex-optimize
Audit and optimize an existing Convex app: security, scale, upgrades
convex-optimize is an agent skill for auditing and improving an existing Convex app. It is the remediation workflow: it opens with a scored assessment, then acts on the result by upgrading stale components and setting up observability. The assessment itself is handed to a separate launch-readiness skill that produces one scored, de-duplicated set of findings, and convex-optimize's own job is the actions it takes on those findings. It follows a plan, confirm and apply pattern, so the agent proposes changes and waits for approval before applying them. Its workflow starts by detecting the app: it checks for a convex directory, reads the schema, and works out whether the deployment is anonymous or a cloud deployment. The areas it covers are security, scale, upgrades and observability. The skill is part of the get-convex agent-skills repository and is added to a compatible agent with the skills command. Its audits passed with Gen Agent Trust Hub, Socket and Snyk. It suits teams with an app that has grown over time and need a prioritised plan to tighten security and performance, and then want the agent to carry out the approved steps.
- Price
- Free
- Made by
- get-convex
- Category
- AI Skills
- Website
- github.com/get-convex/agent-skills/convex-optimize