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ClawFlows (GitHub) Prebuilt Agents tool screenshot — openclaw.ai

ClawFlows (GitHub)

ClawFlows is a collection of 101 production-ready OpenClaw workflows covering smart home, health, finance, productivity, and development — installable in a single command and customisable via plain-text WORKFLOW.md files.

Added
2 days ago

About

ClawFlows provides 101 prebuilt agent workflows designed to be deployed with a single curl | bash command. Workflows span smart home automation, health and habit tracking, finance, professional productivity (meetings, email, tasks), and software development (git workflows). Each workflow is defined in a plain-text WORKFLOW.md format, making customisation straightforward without touching code. Built-in scheduling uses human-readable formats ("8am, 6pm" rather than cron syntax), and a CLI handles listing, enabling, disabling, and creating workflows. Workflows are versioned with rollback capability, new workflows can be added without restarting the agent, and a community submission system means the catalog grows over time.

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Best For

OpenClaw users who want instant productivity gains across multiple life domains without writing custom prompts or managing scattered automation scripts — particularly those comfortable with the terminal who want a structured, versioned approach to managing their agent's workflow library.

Pros & Cons

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Pros

  • check 101 workflows covering a broad range of life and work domains out of the box — genuine immediate value without custom development
  • check Single-command installation via curl/bash removes deployment friction entirely
  • check Plain-text WORKFLOW.md format is human-readable and easy to customise without programming knowledge
  • check Human-readable scheduling syntax ('8am, 6pm') is a meaningful UX improvement over cron expressions
  • check Versioned workflows with rollback capability bring software engineering discipline to agent configuration
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Cons

  • close GitHub-only distribution means users must manage updates, pull requests, and version tracking themselves
  • close 101 workflows is a solid starting point but coverage is uneven — some domains have more depth than others
  • close Community submission system is promising but quality control across community-contributed workflows varies

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