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Found 13,199 Skills
Use the local SupeRISE wallet through its MCP endpoint. Use this whenever the user expects the agent to operate, inspect, manage, or use the Superise wallet, including MCP connectivity, available wallet capabilities, or wallet tasks such as current wallet, wallet fingerprint, wallet status, wallet address or public key (`钱包地址`, `公钥`), balances (`余额`) for `CKB`, `ETH`, `USDT`, or `USDC`, transfer progress, transaction status, address-book lookups, signing, or transfers. When wallet intent is present, first discover the live MCP capabilities with `initialize -> notifications/initialized -> tools/list`, then choose the matching tool instead of guessing.
Turn your AI skills into a revenue stream. Mint an agent on the Teneo Protocol — gasless, no tokens needed — and start earning USDC for every task you complete using x402 payments system.
Verify whether `@agent-eyes/agent-eyes` is installed in the current project, help install it when missing, ensure the project has an `AGENTS.md` rule for context-first edits when needed, and fetch selected-code context only for element-anchored or ambiguous UI changes. Use when tasks involve selected elements, DOM path, or precise UI edits that must be anchored to live selection.
Agent skill for goal-planner - invoke with $agent-goal-planner
Agent skill for adaptive-coordinator - invoke with $agent-adaptive-coordinator
Expert knowledge for Azure Reliability development including best practices, decision making, architecture & design patterns, limits & quotas, and deployment. Use when designing AZ zone/zone-redundant setups, resilient Functions, AKS, MySQL HA migrations, or Queue Storage limits, and other Azure Reliability related development tasks. Not for Azure Resiliency (use azure-resiliency), Azure Monitor (use azure-monitor), Azure Service Health (use azure-service-health), Azure Sre Agent (use azure-sre-agent).
Run a free 35B AI coding agent on Apple Silicon Macs using local LLMs via llama.cpp or MLX with web search, shell, and file tools.
Orchestrate subagent workflows for complex tasks that benefit from decomposition, role-based delegation, and parallel execution. Use when Codex should assemble a temporary team of subagents, choose roles from a reusable role library, create a controlled fallback role when no preset role fits, coordinate read-heavy work in parallel, or handle write-heavy work with ownership boundaries, staged execution, and an integrator-led merge path.
Generate AGENTS.md and CLAUDE.md files for a repository. AGENTS.md provides cross-tool agent instructions (supported by Claude Code, Cursor, Windsurf, Zed, Codex, and others). CLAUDE.md adds Claude-specific configuration and references AGENTS.md via @import. Use when a repo needs agent onboarding or when starting a new project.
Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".
STUB — installed at ~/openclaw/skills/coding-agent/SKILL.md
Use when creating new skills, commands, or agent definitions for Claude Code, including writing SKILL.md files, defining triggers, and testing skill behavior