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Found 6,510 Skills
Implementation guidance for creating individual agents in the Arcanea system with proper structure, capabilities, and integration.
Interactive agent for relational database schema design and migration. Guides users through requirements capture, schema analysis, design review, and migration generation. Use when users need to model data, design schemas, add tables or relationships, plan migrations, or discuss database design, entities, foreign keys, or indexes.
Real-time sports & events data for AI agents via Shipp. Use when the user wants live scores, schedules, or game events for NBA, NFL, NCAA Football, MLB, or Soccer — especially to power prediction market trading strategies on Polymarket or Kalshi using a MoonPay wallet.
Operate `superise market-sustain` for SupeRISE Market self-supervision. Use when the user asks the agent to keep itself alive, monitor balance or runway, inspect market pricing, top up a market account, retry pending top-up orders, clear market auth state, or change sustain guardrails and config.
Operates AIR agentic wallets through AIR's `/v2/wallet/agent-sign` HTTP endpoint and ERC-4337 UserOps. Use when an external agent receives an AIR handoff bundle with `userId`, `walletId`, `privyAppId`, `abstractAccountAddress`, and `airApiAgentSignUrl`, and needs to sign messages, typed data, or control the smart account onchain.
Use for Cobo Agentic Wallet operations via the `caw` CLI: wallet onboarding, token transfers (USDC, USDT, ETH, SOL, etc.), smart contract calls, balance queries, and policy denial handling. Covers DeFi execution on EVM (Base, Ethereum, Arbitrum, Optimism, Polygon) and Solana: Uniswap V3 swaps, Aave V3 lending, Jupiter swaps, DCA, grid trading, Polymarket, and Drift perps. Use when: user mentions caw, cobo-agentic-wallet, MPC wallet, TSS node, Cobo Portal, agent wallet, or needs any crypto wallet operation — even without explicit "Cobo" mention. NOT for: fiat payments, bank transfers, or crypto-to-fiat off-ramp.
Multi-agent swarm coordination for complex tasks. Uses hierarchical topology with specialized agents to break down and execute complex work across multiple files and modules. Use when: 3+ files need changes, new feature implementation, cross-module refactoring, API changes with tests, security-related changes, performance optimization across codebase, database schema changes. Skip when: single file edits, simple bug fixes (1-2 lines), documentation updates, configuration changes, quick exploration.
Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.
Overview The Messari Tracker Agent serves as a direct bridge to Messari’s institutional-grade data sources, allowing users to extract BTC and ETH data without manual searching or fragmented data sourc
Delegate tasks to AI agents via Box0. Use when the user asks to review code, check security, run tests, compare tools, get multiple perspectives, research a topic, analyze data, write docs, or any task that could benefit from specialized or parallel execution. Also use when the user mentions agent names or says "ask", "delegate", "get opinions from", or "have someone".
Sharpen, refine, and optimize AI agent skills through real usage — learn from mistakes, review quality, and improve over time. Observes skill execution in the current conversation, analyzes three sources (conversation history, file diffs, user feedback), and proposes concrete improvements to the target skill's SKILL.md. Works with Claude Code and any SKILL.md-based agent framework. Use after executing any skill: `/skill-sharpen [name]` for a specific skill, or `/skill-sharpen` to auto-detect the last used. Three modes: interactive (propose one by one), observe-only (dump to LESSONS.md), review (process pending lessons).
Installs, configures, audits, and operates Agent Package Manager (APM) in repositories. Use when initializing apm.yml, installing or updating packages, validating manifests, managing lockfiles, compiling agent context, browsing MCP servers, setting up runtimes, or packaging resolved context for CI and team distribution. Don't use for writing a single skill by hand, generic package managers like npm or pip, or non-APM agent configuration systems.