agent-collab-platformUnified agent collaboration platform with shared core, automatic GitHub issue handling, intelligent message routing, and modular extensibility for PM and Dev...
Install via ClawdBot CLI:
clawdbot install zhaog100/agent-collab-platformGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/zhaog100/xiaomili-skillsAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Teams managing GitHub repositories can use this platform to automate issue tracking, assign tasks to specialized agents like PM or Dev, and monitor pull requests. It streamlines collaboration between product managers and developers, reducing manual oversight.
Organizations running bounty programs on platforms like GitHub or Algora can leverage the Bounty Hunter module to automatically scan for new bounties, coordinate parallel development efforts, and track payments. This increases efficiency in managing decentralized development tasks.
Companies with complex DevOps pipelines can integrate this platform to automate issue handling, route messages between teams, and manage release cycles. The shared core ensures consistency across different modules, improving deployment speed and reliability.
Universities or coding bootcamps can use this platform to teach students about agent-based systems by simulating real-world scenarios. Students can spawn sub-agents to practice development skills while adhering to strict testing and reporting guidelines.
Freelancers working on multiple projects can utilize the platform to manage tasks across different clients, automate status updates, and ensure code quality through built-in testing modules. It helps solo developers scale their operations efficiently.
Offer the platform as a cloud service with tiered subscriptions based on the number of agents or projects. Include premium features like advanced analytics and priority support to generate recurring revenue from teams and enterprises.
Sell custom licenses to large organizations for on-premise deployment or dedicated support. This model targets companies needing high security, customization, and integration with existing systems, providing a high-value, one-time or annual fee structure.
Provide a free basic version with limited agents and features to attract individual developers and small teams. Monetize through paid add-ons such as additional modules, enhanced support, or integration with third-party tools like GitHub Enterprise.
💬 Integration Tip
Ensure compatibility with existing GitHub workflows and CI/CD pipelines by testing the shared core modules first before deploying specific agents.
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