plugins/babysitter-pi/skills/babysitter/SKILL.md
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
npx skillsauth add a5c-ai/babysitter babysitterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Orchestrate .a5c/runs/<runId>/ through iterative execution.
Read the SDK version from the plugin manifest to ensure version compatibility:
SDK_VERSION=$(node -e "try{console.log(JSON.parse(require('fs').readFileSync('${PI_PLUGIN_ROOT}/versions.json','utf8')).sdkVersion||'latest')}catch{console.log('latest')}")
sudo npm i -g @a5c-ai/babysitter-sdk@$SDK_VERSION
# sudo is depending on the env and system
then use the CLI alias: CLI="babysitter"
Alternatively, use the CLI alias: CLI="npx -y @a5c-ai/babysitter-sdk@$SDK_VERSION"
make sure you have jq installed and available in the path. if not, install it.
Run the following command to get full orchestration instructions:
babysitter instructions:babysit-skill --harness pi --interactive
For non-interactive mode (running with -p flag or no AskUserQuestion tool):
babysitter instructions:babysit-skill --harness pi --no-interactive
Follow the instructions returned by the command above to orchestrate the run.
development
Model documentation skill for generating model cards following Google's model card framework.
development
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
data-ai
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
devops
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.