97 skills · sorted by relevance
Set up, configure, update, and troubleshoot persistent memory for OpenClaw agents. The plugin stores conversations locally and supports automatic recall, task summaries, reusable skills derived from successful tasks, and a visual memory manager.
Set up the OpenViking long-term memory plugin for OpenClaw through conversation. The skill handles installation, configuration, and verification so chat facts can be saved and relevant memories recalled across sessions, using an existing OpenViking server.
Connect agentmemory to coding agents such as Claude Code and Codex while preserving existing server settings. It guides configuration, host restarts, and checks that memory tools are available and can save and retrieve information.
Use MemOS Local to find past conversations, preferences, and decisions, then retrieve original messages or task context. The skill also guides sharing memories and reusable procedures with local agents or a configured team.
Diagnose missing recall, failed captures, and connection errors in the OpenViking memory plugin for Codex. Check installation, configuration, authentication, and server readiness, then use the findings to guide fixes and verify that memory works again.
Install and configure the memory-tencentdb plugin for OpenClaw to retain and retrieve conversation information. Verify the setup through logs and searches, adjust memory settings, and troubleshoot missing recall or vector search results.
Install or remove memU long-term memory for the agent in use. The skill selects the host-specific guide, configures scheduled memory recording and retrieval before answers, and verifies the setup with local or cloud storage.
Diagnose OpenViking memory problems by checking plugin installation, client settings, server connections, and recent activity. The skill helps trace missing recalled context, failed saves, and authentication errors, then guides targeted fixes and checks whether they worked.
Navigate ECC by checking its current files to find suitable skills, commands, and configuration options. Get focused guidance on installation, reset procedures, project setup, and troubleshooting duplicate installs, with concrete files and next steps to inspect.
Manage Omni Skills, plugins, and persistent memory from the command line. Find and install skills, run them with supplied input, inspect execution history, and maintain saved information alongside plugin installations.
Use OpenViking through OpenClaw to manage long-term memories, search archived conversations, and find imported resources or Agent Skills. Inspect recall traces to understand search results and recover full tool outputs stored outside the conversation.
Add persistent memory to NanoClaw agents using the default Claude provider. With mnemon installed in the container, agents retrieve relevant context before responding and save new insights after each turn, retaining memory across container restarts.
Set up or check claude-mem memory syncing with cmem.ai Pro. Follow installer-based sign-in, verify the cloud connection, and review device details, pending writes, the last successful upload, and errors without sharing tokens in chat.
Check a Ruflo installation for common environment and configuration problems, then run automatic repairs. The checks cover software versions, background services, the memory database, API keys, MCP servers, disk space, and TypeScript.
Maintain bounded, durable AI project memory in a repository's docs/ai/ pack. Use when Codex or Claude Code needs to create, read, update, or audit project memory (project-card, architecture, diagrams, runbook, handoff, gotchas, ADRs), install AGENTS.md memory rules, or sync a lightweight central LLM Wiki project entity for user-owned projects.
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Guided setup for sharing moflo's durable learnings through a git-tracked artifact — for a whole TEAM on one repo, OR for one person across several MACHINES (a team of one). Use when the user says "share learnings with my team", "commit our moflo memory", "sync memory across my laptop and desktop", "set up memory.team_artifact", "auto-export learnings on every PR", or "learnings.jsonl keeps conflicting". Installs a pre-commit hook so the artifact rides along in every commit. An existing learnings.jsonl moves to the conflict-free layout automatically. For many worktrees on ONE machine, use /memory-worktree.
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Find the QwenPaw documentation and source files most relevant to a question. This skill maps topics such as installation, configuration, skills, and memory to likely reading paths, helping an agent focus its investigation.
Find relevant QwenPaw documentation and source files for questions about setup, configuration, skills, memory, and other features. It maps question keywords to likely file paths so the agent can read and verify the right material.
Add GBrain memory to an existing agent or connect a hosted brain while preserving current instructions and identity. Start with storage and keyword search that need no API key, then verify saving, retrieval, and recall across conversations.
Extend a NanoClaw agent's own environment with packages, external tools, or specialist agents. The skill chooses the workflow for each change, edits memory and standing instructions, and delegates source changes to a builder for review.
Finish a NanoClaw v1-to-v2 migration after the migration script completes. The skill checks real message routing, assigns owner access, coordinates legacy memory migration, reviews container settings, and helps decide how to carry over customizations.
Find the Wren CLI workflow for answering data questions, connecting databases or SaaS sources, generating model definitions, adding business metrics, or building a shareable analytics app. Guides are retrieved from the installed CLI version.
Check the Convex version installed in a project, then consult matching documentation and package type definitions to confirm API details, available exports, and command options before implementing changes or fixing version mismatch errors.
Install Acontext, Login & Init Acontext Project, Add Skill Memory to Agent.
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