agent-loopsMulti-agent workflow orchestrator. Use when the user asks to build, create, make, ship, develop, or launch any software (apps, webapps, websites, mobile apps...
Install via ClawdBot CLI:
clawdbot install austindixson/agent-loopsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/OpenClaw/agent-loops.gitAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A tech startup needs to quickly build and launch a minimum viable product (MVP) for a new SaaS tool. The Agent Loops skill can orchestrate a multi-agent workflow to scope features, develop the web application, implement APIs, and create documentation, accelerating time-to-market with automated coordination between development roles.
An e-commerce company experiences a critical bug causing checkout failures during peak sales. Using the bug_fix workflow, agents diagnose the issue, apply a hotfix, run regression tests, and update deployment scripts, ensuring minimal downtime and maintaining customer trust through rapid, structured troubleshooting.
A financial institution requires a security review of its payment processing codebase to comply with regulations. The code_review workflow runs parallel agents to audit for vulnerabilities and quality issues, then synthesizes a report, helping identify risks and improve code safety before deployment.
A healthcare research team needs to investigate and compare new medical data analysis tools. The research_report workflow orchestrates agents to gather information, analyze pros and cons, and compile findings into a detailed report, supporting informed decision-making for tool adoption.
A software development agency is hired to modernize a legacy client application. The refactor workflow coordinates agents to restructure code, optimize performance, and reduce technical debt, delivering a more maintainable and scalable system while documenting changes for future updates.
Companies offer ongoing access to software tools or platforms with regular updates and support. Agent Loops can streamline development cycles, bug fixes, and feature releases, enabling faster iteration and higher customer retention through efficient multi-agent workflows.
Agencies or freelancers provide custom software development, code reviews, or audits for clients. This skill automates complex tasks like project scoping and debugging, allowing teams to handle more projects simultaneously and deliver higher-quality results with reduced manual effort.
Businesses focus on user acquisition through a self-serve product experience, often with freemium tiers. Agent Loops supports rapid prototyping and feature shipping, helping iterate based on user feedback to drive adoption and convert free users to paid plans efficiently.
💬 Integration Tip
Integrate Agent Loops into existing CI/CD pipelines by automating workflow runs for tasks like code reviews or bug fixes, ensuring seamless collaboration between development stages without disrupting current tools.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
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.
Local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context....
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