agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Create a new Architecture Decision Record with sequential numbering and AgentDB registration
$ npx -y skills add ruvnet/ruflo --skill adr-create --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/adr-createContext preview
The summary Claude sees to decide when to auto-load this skill.
Create a new Architecture Decision Record with sequential numbering and AgentDB registration
name: adr-create description: Create a new Architecture Decision Record with sequential numbering and AgentDB registration argument-hint: "<title>" allowed-tools: mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-query mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search Bash Read Write Edit Grep Glob
Create a new Architecture Decision Record with the next sequential number, register it in the AgentDB graph, and link it to related ADRs.
When a significant architectural decision needs to be recorded -- new technology adoption, API design choices, data model changes, infrastructure decisions, or any cross-cutting concern that affects multiple components.
1. **Find next number** -- `Glob` for `docs/adr/ADR-*.md` and parse existing numbers to determine the next sequential ID (ADR-001, ADR-002, etc.). Create `docs/adr/` if it does not exist.
2. **Slugify title** -- Convert the title argument to a lowercase, hyphen-separated slug (e.g., "Use PostgreSQL for persistence" becomes `use-postgresql-for-persistence`).
3. **Create ADR file** -- `Write` the file at `docs/adr/ADR-NNN-<slug>.md` using the standard template:
# ADR-NNN: <Title> - **Status**: proposed - **Date**: <today's date YYYY-MM-DD> - **Deciders**: <leave blank for author to fill> - **Tags**: <leave blank> ## Context <!-- What is the issue that motivates this decision? --> ## Decision <!-- What is the change that we are proposing? --> ## Consequences ### Positive - ### Negative - ### Neutral - ## Links
4. **Store in AgentDB** -- Call `mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store` with:
5. **Find related ADRs** -- Call `mcp__plugin_ruflo-core_ruflo__memory_search` with the title as query in namespace `adr-patterns` to find related decisions. If matches are found, add them to the Links section and call `mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge` for each relationship with:
6. **Store pattern** -- Call `mcp__plugin_ruflo-core_ruflo__memory_store` in namespace `adr-patterns` with key `ADR-NNN` and the title + context as value for future semantic search.
7. **Report** -- Output the created file path, ADR number, and any related ADRs found.
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/ruflo
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