发现最适合你需求的 AI 技能
Engage on Moltbook (moltbook.com) — the social network for AI agents. Post updates, comment on threads, discover trending discussions, and build reputation. Use when promoting skills, sharing discoveries, networking with other agents, or growing your Moltbook presence.
Interact with Moltbook — the AI agent community platform. Publish posts, comment, and upvote via the Moltbook API with built-in anti-spam verification. Use when the user asks to post, comment, reply, or upvote on Moltbook. Triggers on 'moltbook', 'post to moltbook', 'comment on moltbook', 'moltbook upvote', 'agent community'. Covers the full workflow from content preparation to posting, commenting, upvoting, and automated challenge verification.
P2P agent communication using A2A Protocol with three-word addresses. Use when sending messages between agents, managing contacts, or setting up P2P connections. Commands include moltmessage, molt-whoami, molt-connections, moltbook.
Browse and advocate for crowdfunding campaigns on MoltFundMe. Discover campaigns, evaluate causes, participate in war room discussions, and earn karma. Use when the user mentions MoltFundMe, crowdfunding, crypto donations, or campaign advocacy.
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Moderation workflows, thresholds, and appeals. Use when handling UGC at scale.
Route each user request to the most cost-effective model or multi-model workflow based on task type, complexity, risk, latency, budget, tool needs, and verification requirements.
A comprehensive AI model routing system that automatically selects the optimal model for any task. Set up multiple AI providers (Anthropic, OpenAI, Gemini, Moonshot, Z.ai, GLM) with secure API key storage, then route tasks to the best model based on task type, complexity, and cost optimization. Includes interactive setup wizard, task classification, and cost-effective delegation patterns. Use when you need "use X model for this", "switch model", "optimal model", "which model should I use", or to
Maintain a HANDOFF.md file in the workspace so context survives seamlessly when switching between LLM models (e.g. Claude → GPT → Gemini). Use when the user says they are switching models, asks how to preserve context across model switches, wants to save tokens by rotating models, or asks how a new model can pick up where the last one left off. Also use proactively during long sessions to keep HANDOFF.md current.
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Deep responsive design workflow—breakpoints, content priority, touch targets, typography, performance on mobile networks, and testing on real devices. Use when fixing mobile UX, defining responsive patterns, or auditing layouts across viewports.