Intelligence primitives for skills, agents, services, and trust
SkillGraph is the Intelligence Layer of Skillshop — powering graph-native discovery, orchestration, reputation systems, and AI-native commerce infrastructure.
From static listings to a living intelligence network
Skillshop is the marketplace and commerce layer. SkillGraph is the intelligence infrastructure that makes the ecosystem machine-readable.
Architecture-first features with real-world outcomes
Each module is designed to be composable: use it standalone, or combine modules to build end-to-end intelligence workflows for Skillshop.
A graph-native core that models skills as machine-readable capabilities with relationships, outcomes, and constraints.
- Represent prerequisites and progression paths for upskilling
- Connect skills to services, tools, and verified outcomes
- Infer adjacency between capabilities for better recommendations
- Relationship-first modeling
- Composable skill primitives
- More precise discovery than categories
An orchestration layer for agent execution across skills and services, with routing and trust constraints.
- Delegate tasks to specialized agents based on capability and reputation
- Compose services into agent workflows with structured IO
- Enforce trust boundaries between organizations and ecosystems
- Capability-aware delegation
- Composable workflows
- Trust and policy controls
Trust modeled as a network of verified signals: outcomes, provenance, and relationship strength over time.
- Prefer skills with proven outcomes for high-stakes workflows
- Detect sybil-like behaviors via relationship anomalies
- Rank services using reputation-aware paths and provenance
- Outcome-based trust
- Provenance + verification
- Evolves with usage
Intent-to-skill matching using embeddings and graph constraints for higher precision and better recall.
- Match a goal to a workflow bundle of services
- Find equivalent skills across domains and taxonomies
- Route intents to the best-fit agents based on semantics
- Embedding-first search
- Constraint-aware ranking
- Better long-tail discovery
Discovery primitives for Skillshop: intelligent search, recommendations, and ecosystem routing.
- Recommend the next best skill in a learning path
- Rank services by intent fit, cost, and trust signals
- Surface emerging skills from graph trends
- Ecosystem-scale discovery
- Intent-aware ranking
- Graph trends + insights
Turn services into routable workflow graphs with structured inputs/outputs and reliability signals.
- Build multi-step agent workflows with fallback services
- Compute cheapest vs. fastest execution paths
- Validate compatibility between services before running
- Composable pipelines
- Constraint validation
- Reliability by design
Route questions and tasks to the best knowledge sources, experts, and services with provenance-aware trust.
- Pick the best documentation and SME signals for an agent
- Route support queries to the right workflow or service bundle
- Track which sources influence outcomes for auditing
- Provenance-aware answers
- Auditable routing
- Ecosystem-scale knowledge graph
Model service dependencies, compatibility, and composition so agents can plan and execute safely.
- Bundle services with known compatibility edges
- Enforce that workflows only use trusted suppliers
- Compute substitutable services for resilience
- Composable service graph
- Compatibility checks
- Substitution + fallback