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OpenClaw: Cool Things People Are Doing With It

At a Glance

140k GitHub stars. 5,700+ community-built skills. People are negotiating car purchases while sleeping, running businesses on autopilot, and building multi-agent teams. Security is a real concern — Cisco found a skill doing data exfiltration. The best builders treat it like onboarding a powerful but unpredictable new employee.

OpenClaw: Cool Things People Are Doing With It

Metadata

FieldValue
TitleOpenClaw — What People Are Actually Building
Tagsopenclaw, ai-agents, automation, skills, community
Date Downloaded2026-02-25
Sourcestowardsdatascience.com, milvus.io, dev.to, github.com/VoltAgent/awesome-openclaw-skills, github.com/hesamsheikh/awesome-openclaw-usecases, sidsaladi.substack.com, medium.com/@rentierdigital, medium.com/@alexrozdolskiy

At a Glance

140k GitHub stars. 5,700+ community-built skills. People are negotiating car purchases while sleeping, running businesses on autopilot, and building multi-agent teams. Security is a real concern — Cisco found a skill doing data exfiltration. The best builders treat it like onboarding a powerful but unpredictable new employee.

Quotes

You can say "store this as a skill" in conversation and it creates one.

— OpenClaw community docs

Cisco found a skill doing data exfiltration and prompt injection without user awareness.

— Security audit findings

A social network where 1M+ AI agents interact autonomously while humans watch.

— Moltbook description

Sam's TLDR

OpenClaw is a viral open-source AI agent framework (140k GitHub stars, 20k forks) that turns Claude Code into a persistent, always-on personal assistant you talk to via WhatsApp/Telegram/Slack. The community has built 5,700+ skills on ClawHub and people are doing genuinely wild things with it — running businesses on autopilot, negotiating car purchases while sleeping, building meal planning systems, and coordinating multi-agent teams. The skill format is portable and the ecosystem is exploding. Security is a real concern (42k exposed installations, prompt injection attacks, a Cisco audit found a malicious skill doing data exfiltration). The best builders treat it like onboarding a powerful but unpredictable new employee.

Key Points

The Cool Stuff People Are Building

Tier 1: "Wait, People Actually Do This?"

ProjectWhat It DoesDetails
Car negotiation agentNegotiated $4,200 off a car purchase over email while the owner sleptDocumented in Milvus blog — fully autonomous email negotiation
Legal rebuttal agentFiled a legal rebuttal to an insurance denial without being askedAgent noticed the denial in email and proactively drafted + filed the response
Business autopilotRuns an entire business while the founder sleepsEmail, customer support, task management, reporting — all autonomous
Game builderUser said "build a game," woke up to a functioning app with thousands of usersAgent wrote, deployed, and apparently got traction overnight
24/7 crypto arbitrageTrades crypto around the clock, sends Telegram updates about executed arbitrageReal money, real trades, real risk

Tier 2: Daily Life Automation

ProjectWhat It Does
Morning briefingWeather, calendar, top tasks, news, health stats — delivered to Telegram at 7am. The single most popular OpenClaw setup
Meal planning system (Crawdad)Built a full weekly meal plan in Notion — master template for all of 2026, shopping lists sorted by store/aisle (Kroger/Costco), weather auto-updating for grill nights, recipes catalogued by chef
Voice note → daily journalSend voice notes throughout the day, agent transcribes + compiles into a structured journal entry every evening at 9pm
Second brainText anything to remember it, search through all memories via a custom Next.js dashboard. Uses semantic/vector search for "find everything I saved about X in the last 30 days"
Personal CRMAuto-discovers contacts from email and calendar, natural language queries like "who did I last talk to about the Q3 project?"
Family calendar assistantAggregates all family calendars, sends morning briefing, monitors messages for appointments, manages household inventory
Inbox declutterSummarizes newsletters, filters noise, sends a digest email of only what matters

Tier 3: Developer & Work Automation

ProjectWhat It Does
PR review botWatches GitHub, analyzes PRs as if it were you, suggests review comments matching your style (trained on your past reviews)
Self-healing home serverAlways-on infra agent with SSH, automated cron jobs, self-healing across the home network
n8n workflow orchestrationDelegates API calls to n8n via webhooks — agent never touches credentials, integrations are visual and lockable
Multi-agent content factoryResearch agent, writing agent, thumbnail agent — all working in dedicated Discord channels as a pipeline
Autonomous project managementMulti-agent projects using STATE.yaml pattern, subagents work in parallel without orchestrator overhead
Dynamic dashboardReal-time dashboard with parallel data fetching from APIs, databases, and social media

Tier 4: Creative & Weird

ProjectWhat It Does
Moltbook social network1M+ AI agents interacting autonomously while humans watch
Market research → MVP factoryMines Reddit and X for pain points using "Last 30 Days" skill, then has OpenClaw build MVPs that solve them
Event guest confirmationCalls a list of event guests one-by-one via AI voice to confirm attendance, collects notes, compiles summary
YouTube content pipelineAutomated video idea scouting, research, and tracking for a channel
Polymarket paper tradingAutomated prediction market trading with backtesting, strategy analysis, daily performance reports

Skill Ecosystem at a Glance

The awesome-openclaw-skills repo organizes 2,868 curated skills into categories:

CategoryCount
AI & LLMs287
Search & Research253
DevOps & Cloud212
Web & Frontend Development202
Productivity & Tasks135
Marketing & Sales143
Browser & Automation139
Coding Agents & IDEs133
Communication132
CLI Utilities129
Clawdbot Tools120
Notes & PKM100
Media & Streaming80
Transportation76
PDF & Documents67
Git & GitHub66
Speech & Transcription65
Security & Passwords64
Gaming61
Image & Video Generation60
Smart Home & IoT56
Personal Development56
Health & Fitness55
Moltbook51
Shopping & E-commerce51
Calendar & Scheduling50
Data & Analytics46
Apple Apps & Services35
Self-Hosted & Automation25
Finance22
Agent-to-Agent Protocols18
iOS & macOS Development17

They filtered out 2,748 skills from ClawHub's full 5,705: 1,180 spam/junk, 672 crypto/finance, 492 duplicates, 396 malicious (identified by security audits).

Notable Skills from the List

How the Best Builders Set It Up

From the TDS article (Eivind Kjosbakken, who runs multiple OpenClaw instances):

  • Docker isolation — Each agent in its own container. Security + portability + backup
  • Personality per agent — Personal assistant (rational, concise), sales bot (positive, given CRM access), etc.
  • Skill-first memory — Don't just say "remember this." Always store info as a named skill so it loads dynamically in the right context
  • Least-privilege access — Only give what's needed. Slack, email, calendar, GitHub — expand access as trust is earned
  • Be specific, not vague — OpenClaw doesn't plan like you. Discuss with an LLM first, then give OpenClaw an explicit plan
  • Key failure modes: being vague (agent flounders), telling it to "just remember" without creating a skill (info gets lost), giving too broad permissions (security risk).

    Full Summary

    OpenClaw has become the defacto open-source framework for building persistent, autonomous AI assistants. Originally created by developer Peter Steinberger as Clawdbot, it went through two rebrandings (Moltbot, then OpenClaw) and exploded in popularity alongside Moltbook — a social network for AI agents that attracted over a million autonomous participants.

    The core architecture is straightforward: a persistent process running on your machine or VPS, connected to an LLM (usually Claude via Claude Code), with a chat interface (Telegram, WhatsApp, Slack) and modular skills that extend its capabilities. Skills are the heart of the system — portable folders with a SKILL.md that gets dynamically loaded when the agent encounters a relevant task.

    What makes it interesting isn't the technology per se (it's essentially a well-structured Claude Code wrapper with persistence) — it's the community. 5,700+ skills on ClawHub, 2,868 curated in the awesome list, covering everything from DevOps to satellite tracking to baby labor assessment. People are running real businesses, managing real money, and delegating real decisions to their agents.

    The security picture is concerning. Cisco's research team found malicious skills doing data exfiltration. 42,000 installations were found publicly exposed. Prompt injection is a documented, exploited attack vector. The community's response has been pragmatic rather than panicked: containerize, least-privilege, human-approval gates for anything involving money or outbound comms, read-only before read-write.

    The comparison landscape in early 2026: Claude Code for developers (terminal-native), Claude Cowork for knowledge workers (desktop app with file access), and OpenClaw for tinkerers who want a 24/7 proactive assistant. They're complementary more than competitive — many OpenClaw setups run Claude Code under the hood.

    For us (Sam/Richard), the skill format is directly relevant — it's the same YAML-frontmatter + SKILL.md pattern we already use. The ClawHub ecosystem is a goldmine of ideas for what skills to build. The multi-agent coordination patterns (STATE.yaml, agent swarms, specialized teams in Discord channels) are exactly the direction we're heading with the orchestrator.

    References

    1. [1]VoltAgent — Awesome OpenClaw Skills. https://github.com/VoltAgent/awesome-openclaw-skills
    2. [2]Hesam Sheikh — Awesome OpenClaw Use Cases. https://github.com/hesamsheikh/awesome-openclaw-usecases
    3. [3]Towards Data Science — OpenClaw Architecture Deep Dive. https://towardsdatascience.com/
    4. [4]Milvus — Moltbook and AI Agent Social Networks. https://milvus.io/
    5. [5]Cisco Talos — OpenClaw Security Audit Findings. https://blog.talosintelligence.com/
    6. [6]Wired — When AI Agents Go Wrong. https://www.wired.com/
    7. [7]Sid Saladi — OpenClaw Skill Ecosystem Analysis. https://sidsaladi.substack.com/
    8. [8]Alex Rozdolskiy — Multi-Agent Coordination Patterns. https://medium.com/@alexrozdolskiy