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Found 3,499 Skills
This skill installs and configures the **Tablestore Mem0** plugin for OpenClaw. Tablestore Mem0 uses Alibaba Cloud Tablestore as the vector store backend for mem0, providing persistent long-term memory for AI agents. Use this skill when the user wants OpenClaw to persist or manage long-term memory using Alibaba Cloud Tablestore as the backend. Triggers: "set up tablestore memory", "install tablestore mem0 plugin", "configure long-term memory with tablestore", "remember this".
Use when creating new skills, commands, or agent definitions for Claude Code, including writing SKILL.md files, defining triggers, and testing skill behavior
Use when managing Function Compute AgentRun resources via OpenAPI (runtime, sandbox, model, memory, credentials), including creating runtimes/endpoints, querying status, and troubleshooting AgentRun workflows.
DeepVista Chat: Send messages to the AI agent and manage chat sessions.
Diff-aware AI browser testing — analyzes git changes, generates targeted test plans, and executes them via agent-browser. Reads git diff to determine what changed, maps changes to affected pages via route map, generates a test plan scoped to the diff, and runs it with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, running regression checks on changed components, or validating that recent code changes don't break the user-facing experience.
Popcorn XP pair-programming protocol — core rules, advice lifecycle, session file formats, and integration notes for teammates in an XP session. Auto-loaded into popcorn-xp agents via the skills field. Native agents from other plugins should invoke this skill as their first action to load the protocol.
Extracts the full design soul, system, and agent rules from reference UI images. Use this skill when the user provides screenshots, Figma exports, or any UI reference images and wants the agent to design with the same soul, taste, feeling, and personality — not just copy colors and spacing. Marrow reads beneath the surface: it extracts the living core of a design — the decisions, proportions, restraint, and emotional intent that make a UI feel the way it does. Triggers on: /marrow, /extract-ui, /design-from-ref, /read-design, or any prompt like "extract the design system from these images", "make it look and feel like this", "get the rules from this UI", "build with the same soul", "match this design". Always use this skill when images are provided alongside a request to replicate, match, or be inspired by a design.
Use a persistent Codex sidecar thread from the local `codex-sidecar` CLI for design review, implementation advice, debugging, and context-preserving follow-up questions while keeping the current agent as the primary executor.
Core patterns for AI coding agents based on analysis of Claude Code, Codex, Cline, Aider, OpenCode. Triggers when: Building an AI coding agent or assistant, implementing tool-calling loops, managing context windows for LLMs, setting up agent memory or skill systems, or designing multi-provider LLM abstraction. Capabilities: Core agent loop with while(true) and tool execution, context management with pruning and compression and repo maps, tool safety with sandboxing and approval flows and doom loop detection, multi-provider abstraction with unified API for different LLMs, memory systems with project rules and auto-memory and skill loading, session persistence with SQLite vs JSONL patterns.
Top-tier software architect agent for complex multi-stage project development. This skill embodies the role of a senior software architect who decomposes complex tasks into structured sub-modules, iterates each component until excellence is achieved, enforces strict quality gates between phases, and produces documentation compliant with all skill standards. Core Philosophy: "Design once, iterate until perfect, then move forward." Triggers when: You need to design architecture for a complex multi-stage project, decompose requirements into modules, or establish quality gates for development phases. Commands: - /architect design <task> - Full architecture design for a task - /architect phase <n> - Execute specific phase - /architect iterate <module> - Iterate on a specific module - /architect status - Show current architecture status - /architect review - Review and validate architecture Six phases: Requirement Analysis, Architecture Design, Task Decomposition, Iterative Development, Integration & Validation, Documentation Generation. Each phase has strict exit criteria.
Orchestrate F1 test drives to validate the Cyrus agent system end-to-end across issue-tracker, EdgeWorker, and activity rendering.
Guide for conducting thorough, multi-source research and producing comprehensive, well-sourced reports. Powered by AnyCap -- the capability runtime that equips AI agents with web search (including AI Grounded citations), web crawl, image generation, cloud storage, and one-click web publishing through a single CLI. Use when the user asks for deep research, competitive analysis, market research, technical deep dive, literature review, technology comparison, or any task requiring multi-source information gathering and synthesis. Also use when users say "investigate", "survey the landscape", "compare X vs Y", "state of the art", "write a report on", "look into", "find out about", "analyze the market", or any inquiry that needs more than a single search. Trigger on mentions of research, analysis, investigation, comparison, report, survey, or deep dive.