Top 10 Best ClawHub Skills for AI Agent Developers

ClawHub skills for AI agent developers provide pre-built instruction sets and tool integrations that let OpenClaw agents interact with external services without custom API wrappers. Think of ClawHub as the package manager for AI orchestration. Instead of writing custom integrations for every service your agent needs to touch, you install a skill. The skill provides the agent with structured instructions, authentication methods, and specific endpoints.

When building with ClawHub, your primary job shifts from writing API requests to orchestrating how different skills interact to solve complex problems. For developers, this means faster shipping times and more reliable agent behaviors.

Here is our curated list of the top skills that improve AI agent development.

Helpful references: Fast.io Workspaces, Fast.io Collaboration, and Fast.io AI.

Fast.io provides intelligent workspaces where agents and humans collaborate directly. For developers, this is the most critical skill for persistent storage and context management.

When an agent generates a report, analyzes a dataset, or needs to read a multi-page PDF, doing that purely in memory is expensive and error-prone. The Fast.io ClawHub skill gives your agent 19 MCP tools for file upload, download, URL import, RAG-powered AI chat, share management, and workflow features including tasks, worklogs, approvals, and annotations.

Deployment Advice: Install with clawhub install dbalve/fast-io. Once installed, your agent can use natural language commands like "Upload this summary to the Q3 Project workspace" without worrying about chunked uploads or OAuth tokens. Ownership transfer lets agents build content and hand it directly to human teammates.

Best For: Persistent storage, RAG across documents, and multi-agent coordination.

Install Command: clawhub install dbalve/fast-io

ClawHub Page: clawhub.ai/dbalve/fast-io

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The GitHub skill lets agents interact with GitHub using the gh CLI — managing issues, pull requests, CI runs, and advanced API queries via gh issue, gh pr, gh run, and gh api.

Instead of copy-pasting code between your IDE and your agent, the agent can inspect a repository, analyze failed CI steps, review pull requests, and run advanced queries with JQ filtering. This is a significant time-saver for repetitive maintenance tasks like updating dependencies or reviewing failed pipelines.

Optimization Tip: When configuring the GitHub skill, restrict the agent's access to specific repositories rather than granting global access. Use fine-grained personal access tokens (PATs) with minimal scopes. This limits the blast radius if the agent hallucinates a destructive command.

Best For: Coding agents that manage repositories, review PRs, and monitor CI.

Install Command: Download from ClawHub (instruction-only, requires gh CLI pre-installed)

ClawHub Page: clawhub.ai/steipete/github

The Code skill provides a structured coding workflow with distinct planning, implementation, verification, and testing phases. LLMs often jump straight to writing code before fully understanding the problem — this skill enforces a deliberate process.

Agents guided by this skill store user preferences locally and never execute code automatically. The human always decides when to proceed, keeping critical operations under direct control.

Deployment Advice: Pair this skill with the GitHub skill. You can instruct your agent to plan the approach, write the implementation, verify it against the existing codebase, and then open a pull request — all as distinct, reviewable steps.

Best For: Any agent task where code quality and predictability matter more than speed.

Install Command: Download from ClawHub (instruction-only skill)

ClawHub Page: clawhub.ai/ivangdavila/code

AgentMail is an API-first email platform designed specifically for AI agents. It provides programmatic inbox creation, full send/receive functionality, real-time webhook notifications, semantic search, and automatic labeling — all without fighting IMAP/SMTP configurations or Gmail API quotas.

This skill is ideal for verifying accounts during web scraping, handling customer support inquiries, or parsing inbound invoices.

Optimization Tip: Use AgentMail to set up dedicated inboxes for different agent roles. Your scheduling agent gets a different inbox than your research agent. This makes auditing their communications much easier and contains potential prompt injection from malicious emails.

Best For: Agents that need dedicated, programmable email infrastructure.

Install Command: pip install agentmail python-dotenv

ClawHub Page: clawhub.ai/adboio/agentmail

The Playwright skill provides full browser automation via Playwright MCP — navigating websites, clicking elements, filling forms, taking screenshots, extracting data, and debugging real browser workflows.

When an API is not available, your agent needs to browse the web like a human. Playwright handles JavaScript-rendered pages and multi-step workflows that simple HTTP requests cannot reach.

Deployment Advice: Browser automation is memory-intensive. Run this skill in a headless environment with strict timeout limits. Configure the agent to return structured data (like JSON) rather than dumping raw HTML into the context window, which quickly exhausts token limits.

Best For: Scraping modern web applications, automating form submissions, and visual verification.

Install Command: npx @playwright/mcp --headless

ClawHub Page: clawhub.ai/ivangdavila/playwright

A fast Rust-based headless browser automation CLI with Node.js fallback. Agent Browser enables agents to navigate, click, type, and snapshot pages via structured commands — with additional features like video recording, network interception, and session state persistence.

Unlike Playwright MCP, Agent Browser is a standalone CLI tool that supports parallel browser sessions and cookie management.

Optimization Tip: Use Agent Browser when you need session persistence across multiple agent tasks. It supports parallel sessions, so multiple agents can browse concurrently without sharing browser state.

Best For: Complex multi-step browsing workflows requiring session isolation.

Install Command: npm install -g agent-browser && agent-browser install

ClawHub Page: clawhub.ai/TheSethRose/agent-browser

API Gateway connects to 100+ APIs — Google Workspace, Microsoft 365, GitHub, Notion, Slack, Airtable, HubSpot, Salesforce, and more — with managed OAuth via Maton's unified passthrough proxy.

Instead of building individual OAuth flows for every SaaS your agent needs to touch, API Gateway provides a single connection management interface. All standard HTTP methods are supported.

Deployment Advice: This skill requires a MATON_API_KEY from maton.ai/settings. Use connection naming conventions that map to your agent's role (e.g., crm-agent-hubspot) so you can audit and rotate credentials cleanly.

Best For: Agents that need to interact with multiple SaaS platforms without custom OAuth integrations.

Install Command: Download from ClawHub, set MATON_API_KEY environment variable

ClawHub Page: clawhub.ai/byungkyu/api-gateway

Advanced filesystem operations for Clawdbot — smart listing with advanced filtering, recursive traversal, full-text content search, batch copy operations, dry-run preview, and directory tree analysis.

Agents working with local codebases or data directories need reliable file navigation. This skill provides that foundation with safety features like dry-run mode.

Optimization Tip: Always use dry-run mode before batch operations in production environments. The preview output lets your agent verify the change set before committing, preventing accidental overwrites of important files.

Best For: Agents that process local file trees, search codebases, or manage project directories.

Install Command: clawdhub install filesystem

ClawHub Page: clawhub.ai/gtrusler/clawdbot-filesystem

A comprehensive security audit skill that evaluates 12+ security domains across Clawdbot's own configuration — gateway exposure, DM policies, credentials, file permissions, and more. Provides severity-rated findings (critical, high, medium) with specific remediation guidance.

Before shipping an agent to production, running a security audit catches hardening gaps you might otherwise miss.

Deployment Advice: Run this skill in read-only mode first to get the full findings report. Review the flagged items before using the --fix flag, which can modify configuration files. Treat its output as a starting checklist, not an automated fix-all.

Best For: Developers hardening OpenClaw agents before production deployment.

Install Command: clawdbot security audit

ClawHub Page: clawhub.ai/TheSethRose/clawdbot-security-check

The Slack skill lets agents control Slack via Clawdbot — sending, editing, and deleting messages, reacting with emojis, pinning items, retrieving member info, and reading recent message history.

Agents need to talk to humans. Slack moves your agent out of the terminal and into the channels where your team already works. Post summaries, ask for human approval before destructive actions, and surface results where they are actually noticed.

Optimization Tip: Implement a strict mention-only policy for your agent. If the agent reads every message in a busy channel, it will rapidly consume tokens and potentially leak sensitive context. Only allow the agent to process messages where it is explicitly tagged.

Best For: Human-in-the-loop approval flows and surfacing agent results to the team.

Install Command: Download from ClawHub (instruction-only skill)

ClawHub Page: clawhub.ai/steipete/slack

Selecting the right skills depends entirely on your agent's purpose. A coding agent needs GitHub and Code, while a research agent needs Brave Search and Agent Browser.

Always prioritize skills that reduce the need for custom code. The true value of the ClawHub registry is standardization. By using community-vetted skills, you benefit from built-in error handling, edge-case management, and security guidance you would otherwise have to write yourself.

Start small. Install Fast.io for file management and Slack for communication. Once those basic capabilities are solid, layer on more specialized skills.

Document access rules, audit trails, and retention policies before rollout so staging results are repeatable in production. This avoids late surprises and helps teams debug issues with confidence.

If you are building an agent today, start by installing the Fast.io skill (clawhub install dbalve/fast-io). File management and persistent storage are the biggest hurdles in early agent development.

By giving your agent a Fast.io workspace, you immediately solve the problems of long-term memory, document parsing, and sharing results with human teammates. From there, add the specific tools (like GitHub or Slack) that map directly to your agent's core job description.