agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Scaffold a new Claude Code plugin with proper directory structure, plugin.json, skills, commands, and agents
$ npx -y skills add ruvnet/claude-flow --skill create-plugin --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/create-pluginContext preview
The summary Claude sees to decide when to auto-load this skill.
Scaffold a new Claude Code plugin with proper directory structure, plugin.json, skills, commands, and agents
name: create-plugin description: Scaffold a new Claude Code plugin with proper directory structure, plugin.json, skills, commands, and agents argument-hint: "<plugin-name>" allowed-tools: mcp__plugin_ruflo-core_ruflo__transfer_plugin-info mcp__plugin_ruflo-core_ruflo__transfer_plugin-search mcp__plugin_ruflo-core_ruflo__transfer_store-search Bash Read Write Edit
Scaffold a new Claude Code plugin from scratch.
When you want to create a new plugin that extends Claude Code with skills, commands, and agents. This generates the correct directory structure and wires up MCP tools.
1. **Get plugin name and description** from the user 2. **Check for conflicts** — call `mcp__plugin_ruflo-core_ruflo__transfer_plugin-search` to ensure the name isn't taken 3. **Create directory structure** (follows the canonical plugin contract from sibling plugins' ADR-0001s):
plugins/<name>/ ├── .claude-plugin/ │ └── plugin.json ├── skills/ │ └── <skill-name>/ │ └── SKILL.md ├── commands/ │ └── <command-name>.md ├── agents/ │ └── <agent-name>.md ├── docs/ │ └── adrs/ │ └── 0001-<name>-contract.md # Plugin-level ADR (Proposed) ├── scripts/ │ └── smoke.sh # Structural contract (≥8 checks) └── README.md # Compatibility + Namespace coordination + Verification + ADR sections
4. **Generate plugin.json** with name, description, version, author (do NOT include `skills`, `commands`, or `agents` arrays — Claude Code auto-discovers these from directory structure) 5. **Generate SKILL.md files** with proper frontmatter:
--- name: skill-name description: What this skill does allowed-tools: mcp__plugin_ruflo-core_ruflo__tool1 mcp__plugin_ruflo-core_ruflo__tool2 Bash ---
6. **Generate command files** with name and description frontmatter 7. **Generate agent files** with name, description, and `model: sonnet` 8. **Generate README.md** with install instructions, features, commands, skills, AND the canonical plugin-contract sections:
9. **Generate ADR-0001 (Proposed)** at `docs/adrs/0001-<name>-contract.md` documenting: pinning, namespace coordination, MCP-tool surface count if applicable, smoke contract scope. Status: `Proposed`. 10. **Generate scripts/smoke.sh** — at minimum 8 structural checks: version + keywords; skills/agents/commands present with valid frontmatter; v3.6 pin in README; namespace coordination block in README; ADR exists with status `Proposed`; no wildcard tools in skills. 11. **Update marketplace.json** if adding to the ruflo marketplace.
Several plugins shipped with subtle MCP bugs the loop has been finding. Don't replicate them:
Required fields:
Recommended fields:
Optional fields:
// "graph_adapter": {
// "edgeRelations": ["my-relation-type"],
// "nodeTypes": ["entity"],
// "autoRegister": true
// }When `autoRegister: true`, the plugin's edges are automatically included in `graph_edges` writes by the core graph layer. Declare `edgeRelations` — the relation types this plugin produces.
**Do NOT include** `skills`, `commands`, or `agents` arrays in plugin.json — these are auto-discovered from the directory structure by Claude Code and will cause validation errors if present.
Browse available tools: `mcp__plugin_ruflo-core_ruflo__transfer_plugin-info`
Common tool categories:
An agent meta-harness for Claude Code and Codex. 📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
Repo: ruvnet/claude-flow
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and…
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use…
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing…
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination