ClawdBot Skills Marketplace: 50+ Integrations & Custom Automation

ClawdBot Field Guide is an independent, third‑party site that curates practical explanations from the included article set. This page is a topic hub built from multiple focused write-ups, so you can read end-to-end or jump directly to the subsection you need.

If you’re new, skim the table of contents first. If you’re evaluating an implementation or making a purchase decision, pay attention to the tradeoffs and check the references at the end of each subsection.

Below: 4 subsections that make up “ClawdBot Skills Marketplace: 50+ Integrations & Custom Automation”.

The phrase “built-in skills” can mean different things: core gateway capabilities (channels, routing, memory) and optional skills that add integrations (webhooks, third-party APIs, custom automations). For planning content and SEO, it helps to group integrations by user intent rather than by implementation.

Core capabilities (the foundation)

• multi-channel messaging (connect the assistant to where you chat)
• tool execution with approvals/sandboxing
• persistent state/memory (so behavior is consistent over time)
• scheduling/automation primitives (cron-style jobs, event hooks)

Common integration categories

• Communication: WhatsApp, Telegram, Discord, Slack, iMessage
• Productivity: notes/tasks systems, docs, calendars
• Dev tools: GitHub and code-centric workflows
• Data: scraping, reports, databases
• Automation glue: webhooks and event-driven triggers

How to present this in an article

If your goal is to publish a “complete list” page, include:

• what each integration is for
• the setup difficulty (easy/medium/advanced)
• the permissions required (read vs write)
• example workflows (1–3 per integration)

References

• https://github.com/clawdbot/clawdbot
• https://clawd.bot/showcase
• https://docs.clawd.bot/

The fastest way for a personal assistant ecosystem to become useful is for the community to share “working patterns”: small skills, integrations, and examples that others can adapt. For ClawdBot, community-built skills matter because everyone’s automation needs are different—and the long tail of integrations is too large for any single team to ship alone.

What to look for in community extensions

• Clear scope: one job, one integration, one workflow.
• Auditable behavior: readable prompts/config, predictable outputs.
• Safe defaults: approvals for destructive actions; minimal permissions.
• Active maintenance: recent updates, issues/discussions, documentation.

How to adopt community skills safely

1. Start in a sandbox/test workspace.
2. Use read-only permissions first (avoid “write” actions until you trust it).
3. Review any external calls and credential handling.
4. Add logging so you can see what the skill did.

Ways to discover what people are building

• look at public discussions and examples
• scan showcase pages and write-ups
• start with “small wins” that you can verify quickly

References

• https://github.com/clawdbot/clawdbot/discussions
• https://clawd.bot/showcase
• https://github.com/clawdbot
• https://mcpmarket.com/tools/skills/bird-x-twitter-cli

Custom skills are where ClawdBot stops being “a general assistant” and becomes your assistant. The best skills don’t try to be magical—they turn a reliable, repeatable process into a callable capability the agent can use with guardrails.

Start with the simplest useful skill

Good first skills are boring but valuable:

• “Create a task from a message”
• “Summarize a thread and extract action items”
• “Check a web page and report changes”
• “Generate a weekly status update from a folder of notes”

If you can verify the output quickly, you’ll iterate faster.

Design principles for maintainable skills

• Explicit inputs: define required fields and validate them.
• Deterministic outputs: produce structured output when possible (JSON/Markdown tables).
• Least privilege: only the tool access the skill truly needs.
• Human-in-the-loop: require approvals for write/destructive actions.

How to scale a skill set over time

• keep skills small and composable
• group skills by domain (work, personal, home lab)
• version skills and document assumptions (APIs, credentials, limits)

References

• https://github.com/clawdbot/clawdbot
• https://docs.clawd.bot/
• https://clawd.bot/showcase

MCP (Model Context Protocol) is emerging as a standard way for AI systems to access tools and context in a consistent, auditable manner. For ClawdBot, MCP matters because the assistant is fundamentally “tools + routing + memory.” A common protocol reduces glue code and makes it easier to plug new capabilities into your agent stack.

Why MCP is useful in practice

• Portability: skills/tools can be reused across different agent environments.
• Governance: you can standardize how tools are described and authorized.
• Faster integration: fewer bespoke adapters for each model or platform.

How to think about MCP in a ClawdBot setup

A pragmatic approach is:

1. Keep your core gateway and agents stable.
2. Add MCP-backed capabilities for the integrations that change often.
3. Treat MCP tool access like any other tool: approvals, least privilege, and logs.

Common pitfalls

• Adding too many tools at once (hard to debug, hard to secure)
• Treating protocol support as “security solved” (it isn’t—permissions still matter)
• Letting tools access sensitive data without explicit boundaries

References

• https://vercel.com/docs/ai-gateway/chat-platforms/clawd-bot
• https://github.com/clawdbot/clawdbot
• https://mcpmarket.com/tools/skills/bird-x-twitter-cli

Related guides

These pages cover adjacent questions you’ll likely run into while exploring ClawdBot:

• Installation & setup — Start-to-finish onboarding and first integration.
• Features & capabilities — What ClawdBot can do day-to-day.
• Security & privacy — Hardening and threat model.
• Pricing & costs — Budgeting for model + hosting.
• Troubleshooting — Fix common problems fast.

How to evaluate a skill before you install it\n\nNot every integration is equally trustworthy. Before you enable a skill, check what data it can access (email, files, calendars), whether it requires broad API scopes, and how it authenticates. Prefer skills that are open-source, actively maintained, and narrow in permission—especially if you plan to run ClawdBot in group chats or shared environments.\n\nIf you’re building your own skills, treat them like production code: keep secrets out of source control, log safely (no tokens), and add guardrails so actions require confirmation when they could be destructive (deleting mail, moving money, posting publicly).