Memory & Knowledge Agent Skills

Design short-term, long-term, and graph-based memory architectures.

Use this skill when the user discusses experiment design, ablations, training runs, evaluation, baselines, metrics, failures, or result…

Use this as the main Claude Scholar skill for a vault-first, project-scoped Obsidian research knowledge base rooted at…

Guide for creating templates for the Obsidian Web Clipper.

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database.

Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer

Persist and restore agent sessions across conversations with state snapshots

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections.

Work like Manus: Use persistent markdown files as your \"working memory on disk.\

Persist user decisions and project constraints to mdbase across sessions.

Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements.

Build and navigate DSP (Data Structure Protocol) — graph-based long-term structural memory of codebases for LLM agents, storing entities…

Clone ChatGPT saved memory into Letta, then optionally enrich it with broader conversation history.

Load relevant .agents context.

Portable OKF knowledge bundle for coding-agent memory and LLM wikis — start a wiki, ingest a source, query project knowledge with…

Semantic search over agent memory files — find conceptually related memory blocks, discover forgotten reference files, and check what you…

Manage durable working-session memory for coding agents, preserving and recovering context across disconnects, restarts, handoffs and…

This skill should be used when the user asks to start a new research project, import an existing code-plus-Markdown repository into…

Use for Ranch.Bot farm-data tasks through the installed Ranch.Bot CLI or MCP server