/ddd-context
Create and manage a DDD bounded context with standard directory structure. Use when starting a new subdomain, splitting a monolith into bounded contexts, or scaffolding the domain/application/infrastructure layout for a fresh module.
$ npx -y skills add ruvnet/claude-flow --skill ddd-context --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/ddd-context
Context preview
The summary Claude sees to decide when to auto-load this skill.
Create and manage a DDD bounded context with standard directory structure. Use when starting a new subdomain, splitting a monolith into bounded contexts, or scaffolding the domain/application/infrastructure layout for a fresh module.
SKILL.md
ddd-context.SKILL.mdname: ddd-context
description: Create and manage a DDD bounded context with standard directory structure. Use when starting a new subdomain, splitting a monolith into bounded contexts, or scaffolding the domain/application/infrastructure layout for a fresh module.
argument-hint: "<context-name>"
allowed-tools: Bash Read Write Edit Grep Glob mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store
Create a bounded context directory structure for the given context name.
Parse `$ARGUMENTS` as the context name (kebab-case). If empty, list existing contexts.
Steps
1. **Validate name**: Ensure the context name is kebab-case and does not already exist under `src/`.
2. **Create directory structure**:
src/<context-name>/
domain/
entities/
value-objects/
events/
services/
repositories/
application/
infrastructure/3. **Generate index files**:
- `src/<context-name>/domain/entities/index.ts` -- barrel export for entities
- `src/<context-name>/domain/value-objects/index.ts` -- barrel export for value objects
- `src/<context-name>/domain/events/index.ts` -- barrel export for domain events
- `src/<context-name>/domain/services/index.ts` -- barrel export for domain services
- `src/<context-name>/domain/repositories/index.ts` -- barrel export for repository interfaces
- `src/<context-name>/domain/index.ts` -- re-export all domain submodules
- `src/<context-name>/application/index.ts` -- barrel export for application services
- `src/<context-name>/infrastructure/index.ts` -- barrel export for infrastructure implementations
- `src/<context-name>/index.ts` -- public API of the bounded context (re-exports domain and application only, NOT infrastructure)
4. **Store in domain model graph**:
mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store --parent "domain" --child "context:<context-name>" --relation "contains"
mcp__plugin_ruflo-core_ruflo__memory_store --key "ddd-context-<context-name>" --value "Created bounded context" --namespace tasks
5. **Report**: Confirm the context was created and list the generated files.
Read more
name: ddd-context description: Create and manage a DDD bounded context with standard directory structure. Use when starting a new subdomain, splitting a monolith into bounded contexts, or scaffolding the domain/application/infrastructure layout for a fresh module. argument-hint: "<context-name>" allowed-tools: Bash Read Write Edit Grep Glob mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store
Create a bounded context directory structure for the given context name.
Parse `$ARGUMENTS` as the context name (kebab-case). If empty, list existing contexts.
Steps
1. **Validate name**: Ensure the context name is kebab-case and does not already exist under `src/`.
2. **Create directory structure**:
src/<context-name>/
domain/
entities/
value-objects/
events/
services/
repositories/
application/
infrastructure/3. **Generate index files**:
- `src/<context-name>/domain/entities/index.ts` -- barrel export for entities
- `src/<context-name>/domain/value-objects/index.ts` -- barrel export for value objects
- `src/<context-name>/domain/events/index.ts` -- barrel export for domain events
- `src/<context-name>/domain/services/index.ts` -- barrel export for domain services
- `src/<context-name>/domain/repositories/index.ts` -- barrel export for repository interfaces
- `src/<context-name>/domain/index.ts` -- re-export all domain submodules
- `src/<context-name>/application/index.ts` -- barrel export for application services
- `src/<context-name>/infrastructure/index.ts` -- barrel export for infrastructure implementations
- `src/<context-name>/index.ts` -- public API of the bounded context (re-exports domain and application only, NOT infrastructure)
4. **Store in domain model graph**:
mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store --parent "domain" --child "context:<context-name>" --relation "contains" mcp__plugin_ruflo-core_ruflo__memory_store --key "ddd-context-<context-name>" --value "Created bounded context" --namespace tasks
5. **Report**: Confirm the context was created and list the generated files.
An agent meta-harness for Claude Code and Codex. Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work.
Repo: ruvnet/claude-flow
Other skills on claude-flow.
- /agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Open skill - /agentdb-learning
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
Open skill - /agentdb-memory-patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
Open skill - /agentdb-optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
Open skill - /agentdb-vector-search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
Open skill - /agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Open skill

