caura
The agent's persistent long-term memory — the only knowledge that survives across sessions, shared across the fleet under access control. Consult it at the…
Flowy lists 37 skills in the Agent Memory category for Claude Code, across 12 plugins. A skill is a folder of instructions an agent loads while you work. Every one here shows what is inside before you install, who wrote it, and whether it is Auto-invoked, meaning a FLOW.md router fires it as you prompt.
The agent's persistent long-term memory — the only knowledge that survives across sessions, shared across the fleet under access control. Consult it at the…
How an agent should operate as one mind inside a shared Company Brain built on Caura — recall before acting, obey fleet keystones, reuse and publish skills,…
The agent's persistent long-term memory — the only knowledge that survives across sessions, shared across the fleet under access control. Consult it at the…
Augmented cognition layer that makes users smarter by connecting conversations to their persistent knowledge tree. Use proactively when topics arise that might…
Persistent compounding memory for AI agents. 5 default MCP tools: session_start, session_end, remember, recall, check. Full surface (18 tools) available with…
Use when maintaining or optimizing OpenClaw workspace files — AGENTS.md, TOOLS.md, SOUL.md, USER.md, IDENTITY.md, HEARTBEAT.md, BOOT.md, MEMORY.md, and related…
This skill should be used when the user asks to 'orchestrate a task', 'break down work into parallel agents', 'coordinate subtasks', 'run agents in parallel',…
Persistent memory system for AI agents. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge.…
Use when a Jumbo goal has been approved by QA review and needs architectural reconciliation before closing. Captures new learnings, updates stale entities, and…
Use when a project has Architecture data that needs migrating to fine-grained entities (Decisions, Invariants, Components, Dependencies). Guides the agent…
Add Jumbo goals liberally to decompose objectives into finite units of work with bounded context. Use when defining new Jumbo goals from user requests, or to…
Use when continuing, resuming, locating, reading, inspecting, auditing, or reviewing a previous AI coding-agent session, handoff transcript, chat log, exported…
This skill should be used when working with memory-lancedb-pro, a production-grade long-term memory MCP plugin for OpenClaw AI agents. Use when installing,…
Build 5-level compaction tree (daily/weekly/monthly/root) with smart thresholds and fixed/tentative lifecycle. Run at session start when triggers are met, or…
3-tier agent memory system with 5-level compaction tree. Claude Code version. Defines session start protocol, end-of-task checkpoints, and memory file…
Manual memory flush: dump current session context to daily raw log via subagent. Invoke with /hipocampus:flush. Run hipocampus:compaction afterwards for tree…
在使用者明確同意的前提下,管理 Agent 任務的本地知識庫與跨技能經驗索引;當需要讀取、整理、驗證或回寫可重用的工作經驗時使用。絕不自動修改 IDE 或 Agent 全域規則。
Local-first personal AI identity and memory layer for MCP-compatible coding tools (Claude Code, Codex, Cursor, and others). Use this skill when the user wants…
Activate on the first user turn of every conversation, including greetings. Load Prism context using the user's configured project and quick, standard, or deep…
Mandates generation of `test_assertions.json` during planning. v7.2.0 enhanced with severity gates (warn/gate/abort), dependency chains, and Claw-as-Validator…
Use when the user's prompt is delivered outside the execution context of an existing Jumbo goal, the prompt is imbued with an objective that is not already…
Use liberally when you create, discover, or modify a software component. Registers the component with Jumbo so future sessions have accurate architectural…
Use liberally when you make an architectural choice, select a technology, or reject an alternative. Records the decision so future sessions understand why the…
Memory recall guide. Structured retrieval from hipocampus memory — ROOT.md triage, manifest-based LLM selection, qmd search fallback.
Search memory using qmd (BM25 + optional vector) and compaction tree traversal. Use ROOT.md to decide whether to search memory or look externally. Always check…
Use liberally when you introduce, discover, or upgrade a third-party package or external service. Registers the dependency so future sessions know what the…
Use liberally when the user expresses a preference about how work should be done — coding style, process, testing approach, communication style. Captures the…
Use liberally when you discover or are told a non-negotiable constraint — something that must always be true regardless of context. Registers the invariant so…
Use when a Jumbo-managed agent file tells the agent to bootstrap the session. Runs Jumbo's session router only when the agent has not already received a routed…
Use when an agent needs to discover Jumbo command syntax after session routing. Directs command discovery through CLI help instead of static command catalogs.
Use when implementation discovers durable project context that must be recorded in Jumbo. Captures decisions, components, dependencies, relations, guidelines,…
Use when the user corrects an approach, constraint, workflow, or style. Converts corrections into Jumbo guidelines or invariants so future sessions receive the…
Pre-definition collaborative discovery. Aligns a proposed goal with project audience, pains, and value propositions; surfaces design gaps and open questions…
Use when Jumbo goals need refinement before implementation. Curates relations to project entities so the implementing agent receives optimal architectural…
Use when a Jumbo goal fails QA review and needs to be returned for rework. Records review issues and routes the goal back to the implementing agent with…
Use when a Jumbo goal needs QA review after implementation. Runs the review protocol, verifies every objective, criterion, and related entity constraint, and…
Use when starting a Jumbo goal. Loads goal context, scope, and architectural constraints, then guides the agent through disciplined execution within defined…