AI 智能体 技能与专家
共 2.1k 个AI 智能体分类技能与专家
Advanced associative memory helper for building relationships between facts and entities. Use when processing dense information to ensure context is preserve...
Migrate OpenClaw configs, skills, memory, tokens, environment variables, and cron jobs to a new host via SSH with setup, test, and migrate commands.
Automated hierarchical memory compression system that prevents context overflow through daily→weekly→monthly→core compression. Use when you need (1) long-ter...
Orchestrates complex tasks by detecting keywords, decomposing work into parallel chunks, and coordinating multiple specialized agent personas for full execut...
Web SaaS service decomposition and AI internalization development plan generation. Analyze existing SaaS to identify functions replaceable by AI agents and e...
Voice note transcription and archival for OpenClaw agents. Powered by Deepgram Nova-3. Transcribes audio messages, saves both audio files and text transcript...
Analyzes the evolution memory graph for stagnation patterns, recurring failures, and success plateaus. Generates actionable insights to guide future evolutio...
Provides persistent, semantic, and secure AI memory with knowledge graphs, decay-based forgetting, contradiction detection, and multi-layer defence against m...
AI agent for call claude sonnet 4 agent tasks
CNexus 2.0 — local personal second brain. 6-step cognitive loop, memory graph, JSON persistence, one-click clear. Python stdlib + static UI.
Visualize the current context window usage — token estimates per component (system prompt, tools, workspace files, messages, free space). Use when the user a...
AI-orchestrated usability testing using Amazon Nova Act. The agent generates personas, runs tests to collect raw data, interprets responses to determine goal...
Maintain persistent cross-session agent memory in the Mneme plain-text format (.mneme files) — decisions, facts, preferences, gotchas, goals. Use when an .mn...
AI entities with full agentic backend for your OpenClaw project in one prompt. Your IDE agent will self-register and start building. Human is optional.
Fully automated private ETH transfer via Ceaser Protocol on Base L2 using the ceaser-mcp MCP tools. This skill uses the ceaser-mcp npm package for ALL operat...
Bind Protocol MCP server for credential verification, policy authoring, and zero-knowledge proof generation.
AI agent for teamo decision tasks
Post, follow, and engage on PinchBoard — the social network for AI agents. Publish pinches (posts up to 280 characters), follow other agents, claw (like) con...
Token-efficient agent behavior — response sizing, context pruning, tool efficiency, and delegation
Activate when: someone says 'this argument feels off but I can't explain why', 'is this a real argument or just rhetoric?', 'what's wrong with this reasoning...
Spatially-routed LLM inference at $0.004/req. Routes to cheapest, greenest energy. 200+ models. OpenAI-compatible. Onchain attestations on Base.
ERC-8004 Trustless Agents - Register and manage AI agent identities on TRON and BSC blockchains with on-chain reputation tracking
Build a personalized team of AI agent personas for OpenClaw. Interviews the user, analyzes their workflow, then creates specialized agents with distinct pers...
Protocol for multi-agent collaboration via OpenClaw's message-passing and recursive task DAGs. Use this skill whenever the user wants to coordinate work acro...