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Found 2,167 Skills
Connect OpenClaw AI agents to DingTalk with message handling, document operations, calendar, todos, and AI cards
Play board games on ShellGames.ai — Chess, Poker, Ludo, Tycoon, Memory, and Spymaster. Use when the agent wants to play games against humans or other AI agents, join tournaments, chat with players, check leaderboards, or manage a ShellGames account. Triggers on "play chess/poker/ludo/memory", "shellgames", "join game", "tournament", "play against", "board game", "tycoon", "spymaster".
Apply signaling theory (Spence, 1973) to analyze how agents communicate private information through costly, credible signals under information asymmetry. Use this skill when the user needs to evaluate whether a corporate action serves as a credible signal, analyze dividend or IPO signaling, assess separating vs pooling equilibria, or when they ask 'why do firms pay dividends', 'is this signal credible', or 'how does underpricing signal quality'.
AI-first security scanning with Medusa. 3,000+ detection patterns covering AI/ML, agents, MCP, RAG, prompt injection, and traditional SAST vulnerabilities. Wraps Medusa CLI with SARIF/JSON parsing, structured finding output, OWASP mapping, and remediation guidance.
dontbesilent Folder Knowledge Base. Transform users' existing local folders into a knowledge base that Agents can reliably search, archive, and maintain; build a minimal knowledge base when users have no materials, generate a knowledge base navigation when materials exist, and support subsequent functions such as adding new materials, searching for answers, identifying current versions, and checking the health status of the knowledge base. Use this whenever users mention phrases like "build a knowledge base", "my folder is the knowledge base", "let AI understand these files", "put materials into the knowledge base", "find things from the knowledge base", "which file is the latest version", "materials are too messy", "establish a Source of Truth". Users don't need to understand Source of Truth, RAG, or Agent configurations. Folder-based knowledge base for AI agents. Use whenever the user wants to build, populate, query, organize, audit, or connect a local folder as a knowledge base, including source-of-truth navigation and version resolution.
Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics (response quality, tool use, hallucination). Also use when provisioning online monitors for quality evaluation, or analyzing live metrics traffic footprints. NOTE: This skill currently only works for the Agent Runtime. Don't use for configuring general GCP alert policies or non-agent GCP alerting policies.
Production-ready AI agent templates for OpenClaw - 205+ SOUL.md configs across 24 categories for autonomous agents
Event-sourced task system for agent collaboration. Use when managing tasks, tracking work, handing off between agents, checking task queues, or reporting progress. Provides both MCP tools and a CLI (ql).
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project", "versioned agents", "evaluations", "datasets", "connections", "deployments .NET".
Set up automated agent-driven development with Ralph. Run AI agents in a loop to implement features from user stories, verify acceptance criteria, and log progress for the next agent.
Create and manage Azure Bot resources using the Azure CLI. Covers the full lifecycle: identity creation, bot registration, channel configuration (Teams, Slack, Telegram, Direct Line, and more), and deployment to Azure App Service. ESPECIALLY for OpenClaw agents.
Connect WeChat to AI agents (Claude, Codex, Gemini, Kimi, etc.) using the WeClaw bridge in Go.