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Found 153 Skills
Creates and orchestrates multi-agent pipelines on the iii engine. Use when building AI agent collaboration, agent orchestration, research/review/synthesis chains, or any system where specialized agents hand off work through queues and shared state.
Perform code optimization for .vue, .js, .css, .scss, .less files in Vue2 projects. By default, optimize git changed files, or execute according to the user-specified scope. Unify code structure, BEM styles, semantic naming and key comments to improve readability and collaboration efficiency. Do not generate new components or modify business logic. Trigger scenarios: Users request code optimization, code structure standardization, unified naming, Vue2 component optimization, and code style organization.
Route creator discovery requests into the right collection strategy before platform execution. Use this when the user wants to find creators, KOLs, KOCs, influencers, or partnership candidates and the request includes constraints such as follower range, niche, audience, geography, language, or collaboration fit. This skill decides whether to use handle-first, content-first, graph-first, or mixed discovery, then hands off to TikTok, Instagram, X, and creator-outreach skills.
Multi-Agent Swarm Parallel Collaboration, pure Git self-organization, suitable for large-scale project development. Use this when users mention "swarm mode", "multi-agent", "parallel development", "agent swarm".
Expert product management guidance for day-to-day PM work. Use when creating roadmaps, prioritizing features, managing stakeholders, planning sprints, grooming backlogs, scoping features, planning releases, defining OKRs, managing technical debt, or coordinating go-to-market. Covers RICE, ICE, MoSCoW frameworks, cross-functional collaboration, and product metrics.
Use this skill when building, debugging, or answering questions about Liveblocks. Liveblocks gives you the building blocks and infrastructure to enable people and AI to work together inside your app, powering realtime collaboration. Liveblocks features include collaboration, rooms, organizations, workspaces, comments, composer, threads, notifications, multiplayer, conflict resolution, realtime presence, avatar stacks, AI collaborators, AI agents, text editors, Tiptap, BlockNote, Lexical, React Flow, Chat SDK. Common components include AiChat, Thread, InboxNotification, Composer, Toolbar (for Lexical Tiptap), FloatingToolbar, FloatingComposer, FloatingThreads, AnchoredThreads. Common hooks include useThreads, useStorage, useMutation, useOthers, useInboxNotifications, useAiChats. Common issues are related to authentication (ID tokens vs access tokens), permissions, room limits, connection errors, user info.
Organic Growth Supervisor - Cross-channel organic traffic strategy and routing that coordinates SEO, social content, influencer collaborations, PR communications, and AI search optimization. Use when user mentions: organic growth, free traffic, SEO+social, content marketing, reduce ad dependency, organic traffic, organic strategy.
Use ARIS (Auto-Research-In-Sleep) for autonomous ML research — idea generation, paper review, experiment automation, and cross-model collaboration with Claude Code, Codex, or any LLM agent.
Run a local observability and control dashboard for OpenClaw AI agents with real-time collaboration, task management, and safety-first defaults.
Use when tasks are complex and require full microservices collaboration: The main agent acts as a pure Orchestrator, strictly prohibited from writing code personally, and is responsible for accurately assigning responsibilities such as positioning, planning, coding, testing, and review to corresponding sub-agents (explorer, planner, worker, verifier, reviewer, fixer). This Skill enforces microservices workflow discipline, requiring full Chinese communication, minimal routing output, and minimized context transfer.
Agile product management, Scrum practices, and team collaboration for iterative product development.
Comprehensive guide to Miro as a visual collaboration platform. Covers canvas features, content types, AI capabilities, and enterprise use cases. For MCP tool documentation, see the miro plugin's skill (miro-mcp).