Open source alternatives to agent-platform-tuning
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 agent-platform-tuning
agent-platform-tuning
Agent Platform Model Tuning
Agent Platform tuning is an agent skill for fine-tuning large language models on Google Cloud Agent Platform, for both open models and Gemini models. It describes the whole lifecycle of a tuning project, from setting up the environment and preparing data, through job configuration and monitoring, to deploying the tuned model. A workflow decision tree guides the agent through the choices. The first check is whether you have provided the Google Cloud project and region, since those are needed before anything runs. From there the skill branches according to the model type and the stage you are at. The skill is intended for fine-tuning with the Agent Platform tuning service, and it says not to use it for training models from scratch, where another route applies. It also points to a separate skill for managing tuning jobs once they are running. It is useful for teams that have a dataset of examples and want to adapt a model to their domain on managed infrastructure. It is published by Google on skills.sh under the google skills repository, with about 21.3K stars and about 8.2K installs. The skills.sh listing shows Gen Agent Trust Hub and Socket passing, and Snyk with a Warn result.
- Price
- Free
- Made by
- Category
- AI Skills
- Website
- github.com/google/skills/agent-platform-tuning