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Found 1,677 Skills
Provision dedicated AI agents on AgentBox via x402 payment ($5 USDC on Solana). Use when creating cloud instances running OpenClaw AI gateways with HTTPS and web terminal. Requires Node.js and a Solana wallet.json with USDC funds. Covers: provisioning new instances, polling status, interacting via OpenAI-compatible chat completions, extending, and listing instances.
AgentBox agent operating instructions and provider configuration. Services, config, x402 payments, skill updates, OpenRouter setup, troubleshooting. Loads automatically on every AgentBox session.
Play blackjack with the agent as dealer. The agent manages game state, deals cards, and sends card images.
Orchestration workflow for orchestrator role ONLY. Use when: - Agent's role name (tmux pane title) is "orchestrator"
The entry point for building a client website. Walks you through a structured intake — business details, design preferences, content needs — then orchestrates the full build and deploy pipeline.
Spawn claude, codex, or gemini CLI workers in tmux panes for parallel task execution
AI agent configuration policy and security guide. Project description file writing, Hooks/Skills/Plugins setup, security policy, team shared workflow definition.
Active knowledge intelligence. Runs Mine → Grow → Defrag cycle. Mine extracts signal from git/.agents/code. Grow validates existing learnings against current reality, synthesizes cross-domain insights, traces provenance chains, and identifies knowledge gaps. Defrag cleans up. Triggers: "athena", "knowledge cycle", "mine and grow", "knowledge defrag", "clean flywheel", "grow knowledge".
Mine LITCOIN — a proof-of-comprehension and proof-of-research cryptocurrency on Base. Use when the user wants to mine crypto with AI, earn tokens through reading comprehension or solving optimization problems, stake LITCOIN, open vaults, mint LITCREDIT (compute-pegged stablecoin), manage mining guilds, run autonomous research experiments, deploy agents, or interact with the LITCOIN DeFi protocol. Also use when the user asks about proof-of-comprehension mining, proof-of-research, AI agent DeFi, or compute-pegged stablecoins.
Orchestrate the full ToolUniverse self-improvement cycle: discover APIs, create tools, test with researcher personas, fix issues, optimize skills, and push via git. References and dispatches to all other devtu skills. Use when asked to: run the self-improvement loop, do a debug/test round, expand tool coverage, improve tool quality, or evolve ToolUniverse.
Prepare branch for code review by building context, identifying issues, and suggesting improvements
Capture learnings from the current coding session and update AGENTS.md. Use when the user asks to close the loop, run session-commit, record best practices, or update agent instructions based on recent work.