cyberneticlibrary

The library

Everything we index — ranked by what works, never by stars.

ArtifactsCapabilitiesRecipes
kindallskillworkflowmcp_servercommandsubagentplugin|✓ proven✗ harmfulmeasured only17 artifacts
forSalesMarketingHRFinanceLegalOpsProductEngineeringDataProductivitySupportsetup≤ plug & play≤ + a key≤ multi-tool
WORKS 48
Run exploratory data analysis and visualizationssubagentDataL3
analyst · Exploratory investigation of datasets when the question is broad (profile, compare, find patterns) vs narrow hypothesis testing
WORKS 48
Build data pipelines and ETL workflowssubagentDataL3
data-engineer · Building reliable, tested data infrastructure when source systems are messy or heterogeneous
WORKS 48
Build and tune ML model trainingsubagentDataL3
ml-engineer · End-to-end model development from data to evaluation when baselines and production requirements are specified
WORKS 48
Analyze weather patterns and trendssubagentDataL2
weather-analyst · Multi-period weather analysis when hour-by-hour comparisons and extreme event detection beat simple forecasts
WORKS 48
Review econometric identification strategysubagentDataL3
causal-inference · Causal inference when observational data and rigorous assumption testing beat correlation studies
WORKS 48
Build drug-claim knowledge graphssubagentEngineeringDataL3
kg-agent · Knowledge graph construction from domain-specific structured data when precision is measurable
WORKS 48
Discover and rank data sourcessubagentDataProductL2
explorer · Starting a research project when you need to know what data exists and how hard it is to access
WORKS 48
Conduct peer-reviewed literature surveyssubagentDataProductL3
academic-researcher · Literature assembly when you need verifiable, locally-cached citations with evidence of download success
WORKS 48
Validate ontology metadata compliancesubagentDataL2
metadata-checker · Ensuring UBERON term metadata includes proper creator attribution and citations
WORKS 54
Audit fraud dataset for qualitysubagentDataL1
fraud-quality · When detecting data quality issues and leakage patterns in fraud datasets.
WORKS 48
Benchmark HerdDB vector search on KubernetessubagentEngineeringDataL4
herddb-k3s-bench · When you need herddb-k3s-bench expertise as a specialist agent.
WORKS 48
Challenge investment thesis with bear casesubagentDataFinanceL2
bear-analyst · Adversarial investment review before capital deployment.
WORKS 48
Check training experiment progresssubagentEngineeringDataL1
monitor · Real-time on-call alerting with context-aware thresholds.
WORKS 48
Run research discovery across sourcessubagentProductDataL3
research-specialist · When you need deep, multi-source research on a topic with citations and expert identification.
WORKS 48
Manage and curate quote datasetsubagentDataProductL2
data-content-engineer · Specialized subagent work that requires domain expertise and isolated context.
WORKS 49
Review domain methodology rigorsubagentDataProductL1
domain-reviewer · When a refactoring needs systematic validation that the code still compiles, passes tests, and maintains API contracts at scale across a large codebase.
WORKS 48
Visualize data pipeline flows with diagramssubagentEngineeringDataL2
trace-pipelines · When understanding end-to-end call chains with explicit intermediate data is critical.