library/methodologies/claudekit/skills/research-orchestration/SKILL.md
Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.
npx skillsauth add a5c-ai/babysitter research-orchestrationInstall 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.
Orchestrates 5-10 parallel research agents for comprehensive, multi-source research. Achieves up to 90% faster results compared to sequential research through concurrent execution.
| Depth | Agent Count | Use Case | |-------|------------|----------| | Shallow | 5 | Quick fact-finding, simple queries | | Medium | 7 | Standard research, moderate complexity | | Deep | 10 | Comprehensive analysis, complex queries |
Overall confidence is a weighted average of individual agent confidence scores, adjusted by validation results. Below 70% triggers human review.
/research [query] slash commandclaudekit-research (primary consumer)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.