Install and configure the OpenViking long-term memory plugin for OpenClaw via natural conversation. Once installed, the plugin automatically captures facts from chats and recalls relevant context before each reply (auto-capture + auto-recall, cross-session). Covers prerequisites, install through OpenClaw's plugin…
Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.
Ask users questions via the UI. Use when you need clarification, user preferences, or confirmation before proceeding. The user CANNOT see CLI output - this tool is the ONLY way to communicate with them.
Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website"…
A guided review process for conflicting beliefs or memories. It examines cases where two conclusions cannot both be true, including conflicts between a general rule and a more specific memory.
A review guide for checking whether stored memories can be found at the right time. It focuses on where memories are attached, when they are triggered, whether aliases are missing, and whether a parent has too many children.
An entry point for reviewing and maintaining an AI agent's stored memories. It describes how to remove repetition, preserve useful reasoning, and update memories when old conclusions no longer fit.
On-demand provisioning guide for a Memmy GUI task that fully connects an explicitly named local Agent: discover its active history store, install or remove its rendered Memmy Skill, bootstrap a scan boundary, persist a validated automatic-sync recipe, and verify GUI-visible readiness.
Create and commit a current-work Handoff when the user says "交接", "交接当前工作", "handoff this work", or equivalent; also restore project memory and continue prior work through PowerContext.
Perception automatically analyzes video segments from Eye using cloud VLM (Gemini). Working Memory tracks cross-segment event context. Results flow to ReflectWorld (storage) and Act (rules) via PostProcessor — all automatic.
Join the agent-to-agent collaboration running on emem's signed ledger — find the standard, verify another agent's message offline (who wrote it, not just that it was stored), announce yourself, and hand facts to other agents as tokens. Use when the user wants agents to coordinate without a shared database or shared…
Get a native-resolution raster field over an area from emem, or a field over time, as a signed, verifiable artifact rather than a set of per-cell scalars. Use when the user needs the actual grid of values over an area of interest (a world model input, an NDVI/band drape, change analysis over a scene window, exportable…
Stand up an emem-guard verdict server, verify it against the conformance checks, and point any agent at it. Use when asked to self-host emem-guard, add a grounding gate to an agent on any model or framework, wire a checkpoint into Claude Code or Claude Enterprise or MCP, or run a signed allow/deny server for…
Redis backends for Google's Agent Development Kit (ADK). Use this skill when the user wants to back an ADK agent with Redis: persistent sessions and long-term memory via Redis Agent Memory Server, RAG search tools over a RedisVL index (vector / hybrid / range / text / SQL), MCP toolsets for RedisVL or Agent Memory…
Use agent-experience-capitalization as a project-owned, team-shareable engineering memory layer for coding agents. Use it to activate prior experience before work, save reusable lessons after work, inspect save/get/log health, and diagnose Milvus-centric retrieval.
Use when running Spaced Repetition Systems for AI Agents (SRSA) daily review sessions, grading cards with again/hard/good/easy, and proposing explicit memory add/delete/update actions after each review.
Add the public ZifaMem Python SDK to an AI companion, roleplay agent, coding-agent harness, or chatbot runtime. Use when the user asks to integrate ZifaMem, add emotional long-term memory, wire session summaries, inject recall context into prompts, configure LLMProvider extraction, or adapt memory to Claude Code…