Cortex Navigate Knowledge
Skill Verified ActiveNavigate the knowledge graph — trace entity relationships, explore causal chains, drill into memory clusters, and traverse co-access paths. Use when the user asks 'how are these related', 'what connects X to Y', 'show me the knowledge graph', 'trace the relationship', 'what caused X', 'drill down into', 'explore connections', or when you need to understand the web of relationships between concepts, entities, and memories.
To provide deep, structured exploration of connected knowledge, enabling users to understand complex relationships and causal links within their data.
Features
- Trace entity relationships and causal chains
- Explore co-access paths between memories
- Drill into fractal memory clusters
- Detect structural gaps in the knowledge graph
- Visualize the knowledge graph and project structure
Use Cases
- Understanding relationships between concepts
- Tracing cause-and-effect chains
- Exploring a topic area systematically
- Debugging complex systems with contextual memory
Non-Goals
- Modifying the knowledge graph
- External data ingestion or processing
- Performing general web searches
- Executing arbitrary code
Workflow
- Trace causal chains through the knowledge graph
- Navigate co-access paths between memories
- Explore memories hierarchically
- Drill down into specific memory clusters
- Detect structural gaps in the knowledge graph
Practices
- Knowledge graph exploration
- Data relationship analysis
- Causal chain tracing
Prerequisites
- Claude Code environment
- PostgreSQL with pgvector extension
- Python 3.10+
Installation
First, add the marketplace
/plugin marketplace add cdeust/Cortex/plugin install Cortex@cortex-pluginsQuality Score
VerifiedTrust Signals
Similar Extensions
Survey Insect Population
100Design and execute insect population surveys covering survey design, sampling methods, field execution, specimen identification, diversity index calculation including Shannon-Wiener and Simpson indices, statistical analysis, and reporting. Covers defining survey objectives, selecting study sites, determining sampling intensity and replication, choosing sampling methods appropriate to target taxa, standardizing collection effort, recording environmental covariates, identifying specimens to the lowest practical taxonomic level, calculating species richness, Shannon-Wiener diversity (H'), Simpson diversity (1-D), evenness, rarefaction curves, multivariate ordination, and producing survey reports with species lists and conservation implications. Use when conducting baseline biodiversity assessments, monitoring insect populations over time, comparing insect communities across habitats or treatments, assessing environmental impact, or supporting conservation planning with quantitative ecological data.
Fit Drift Diffusion Model
100Fit cognitive drift-diffusion models (Ratcliff DDM) to reaction time and accuracy data with parameter estimation (drift rate, boundary separation, non-decision time), model comparison, and parameter recovery validation. Use when modeling binary decision-making with reaction time data, estimating cognitive parameters from experimental data, comparing sequential sampling model variants, or decomposing speed-accuracy tradeoff effects into latent cognitive components.
Measure Experiment Design
100Designs an A/B test or experiment with clear hypothesis, variants, success metrics, sample size, and duration. Use when planning experiments to validate product changes or test hypotheses.
PyDESeq2
100Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Ops Yolo
100YOLO mode. Spawns 4 parallel C-suite agents (CEO, CTO, CFO, COO). Each analyzes the business from their perspective using ALL available data. Produces unfiltered Hard Truths report. After user types YOLO, autonomously runs the business for a day using /loop.
Pipeline Forecasting
100Generate predictive pipeline forecasts with confidence intervals and scenario modeling for revenue planning