library/methodologies/metaswarm/skills/knowledge-curation/SKILL.md
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
npx skillsauth add a5c-ai/babysitter knowledge-curationInstall 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.
Two-phase knowledge management: prime context before work starts, and extract learnings after work completes. Knowledge persists in JSONL files for cross-session continuity.
| Category | File | Content | |----------|------|---------| | Critical Rules | facts.jsonl | MUST FOLLOW constraints | | Gotchas | gotchas.jsonl | Common pitfalls | | Patterns | patterns.jsonl | Codebase best practices | | Decisions | decisions.jsonl | Architectural choices with rationale | | Anti-Patterns | anti-patterns.jsonl | What NOT to do | | Codebase Facts | codebase-facts.jsonl | Structural information | | API Behaviors | api-behaviors.jsonl | Undocumented quirks |
Invoke via babysitter process: methodologies/metaswarm/metaswarm-knowledge-cycle
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.