Best OpenClaw Skills for Automation

Discover the top 10 OpenClaw skills for automation, ranked by community installs and quality.

  1. #1

    ScrapeBadger

    social-media

    Web scraping platform — Twitter/X data, Vinted marketplace, and general web scraping API

  2. #2

    Mia Twitter Stealth

    social-media

    Twitter/X automation with advanced stealth and anti-detection

  3. #3

    Per Agent Compression Universal

    ai-agents

    Zero-config memory consolidation for multi-agent OpenClaw deployments. Auto-discovers agents and registers staggered cron tasks with full state tracking, deduplication, and domain-aware extraction.

  4. #4

    McKinsey-style Decision Memo Writer

    documents

    Turn long documents, reports, proposals, and email threads into decision-ready memos with key points, risks, open questions, and next steps.

  5. #5

    Meta Business CLI

    communication

    "Skill for the Meta Business CLI. Complete WhatsApp, Instagram, Facebook Pages, and Messenger automation via the Graph API. Supports messaging, media, templates, analytics, webhooks, and systemd service management."

  6. #6

    MetaMask Agent Wallet

    crypto

    Control a sandboxed MetaMask browser extension wallet for autonomous blockchain transactions. Features configurable permission guardrails including spend limits, chain allowlists, protocol restrictions, and approval thresholds. MetaMask-only (other wallets not supported).

  7. #7

    WalletPilot

    crypto

    Universal browser wallet automation for AI agents. Supports 10 wallets including MetaMask, Rabby, Phantom, Trust Wallet, OKX, Coinbase, and more. EVM + Solana. Configurable guardrails with spend limits, chain allowlists, and approval thresholds.

  8. #8

    WalletPilot 7715

    crypto

    Execute on-chain transactions with user-granted permissions. Built on MetaMask ERC-7715. No private keys, full guardrails.

  9. #9

    Shiyi Proactive Agent

    productivity

    A proactive agent that anticipates needs and takes initiative. Monitors environment, suggests actions, and proposes tasks based on context. Perfect for agents that need to be proactive rather than reactive.

  10. #10

    Context Compressor

    productivity

    Intelligently compress context — conversations, code, logs. Preserve key information while reducing token usage. Auto-detects content type and applies optimal compression.

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