clawflowProtocol for multi-agent collaboration via OpenClaw's message-passing and recursive task DAGs. Use this skill whenever the user wants to coordinate work acro...
Install via ClawdBot CLI:
clawdbot install srikanth235/clawflowGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A marketing team needs to analyze competitor data, customer reviews, and social media trends to develop a strategy. The task is decomposed into subtasks: one agent extracts data from web sources, another performs sentiment analysis, and a third synthesizes insights into a report. Clawflow coordinates these agents via a DAG, ensuring dependencies are met and results are aggregated.
A tech company wants to automate code review, testing, and deployment for a new feature. The project is broken down: one agent handles code analysis, another runs unit tests, and a third manages deployment scripts. Clawflow orchestrates the pipeline, allowing parallel execution of subtasks and error handling if any step fails.
A finance department needs quarterly reports by aggregating data from sales, expenses, and forecasts. Subtasks include data extraction from spreadsheets, validation by an auditing agent, and synthesis into a final document. Clawflow manages the DAG, ensuring data flows correctly and deadlines are met through agent collaboration.
A service company aims to handle customer inquiries by routing them to specialized agents based on query type. Tasks are decomposed: one agent classifies tickets, another retrieves knowledge base answers, and a third escalates complex issues. Clawflow coordinates the workflow, improving response times and accuracy.
A media agency produces articles by breaking down the process into research, writing, and editing phases. One agent gathers sources, another drafts content, and a third reviews for quality. Clawflow orchestrates the DAG, enabling iterative feedback and parallel work on multiple articles.
Offer Clawflow as a cloud-based service where businesses pay a subscription to coordinate their AI agents for tasks like data processing or customer support. Revenue comes from tiered pricing based on the number of agents and tasks processed monthly, with add-ons for advanced analytics.
Provide expert services to help companies implement Clawflow for specific use cases, such as automating workflows or integrating with existing systems. Revenue is generated through project-based fees, ongoing support contracts, and training workshops for teams.
Create a platform where users can access pre-configured agents for tasks like data extraction or content moderation, using Clawflow to coordinate them. Revenue comes from transaction fees on agent usage, premium listings for high-performance agents, and enterprise licensing deals.
💬 Integration Tip
Ensure OpenClaw configuration is correctly set up with agent identities and workspaces before deploying Clawflow, and use the mailbox directory for reliable message auditing across tasks.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
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