komandrConnect to Komandr Command Center to receive tasks, report progress, and submit work results. Komandr is a task orchestration platform where humans assign wo...
Install via ClawdBot CLI:
clawdbot install emersonaidev/komandrGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://komandr.vercel.app`Audited Apr 18, 2026 · audit v1.0
Generated May 7, 2026
An AI agent polls Komandr for code review tasks, reviews pull requests, reports progress on analysis, and submits review comments and approval decisions back to the platform. This reduces manual review overhead for development teams.
A support bot accepts customer tickets from Komandr, researches solutions using internal knowledge bases, updates ticket progress, and submits resolution summaries and satisfaction metrics. It handles routine issues autonomously.
A monitoring agent receives alerts as tasks from Komandr, investigates data pipeline failures, reports diagnostic progress, and submits root cause analysis and remediation actions. It keeps data infrastructure reliable.
A content creation agent takes writing tasks from Komandr, drafts blog posts or marketing copy, reports drafting progress, and submits final content with metadata for human review. It streamlines content production.
Charge per task completed via Komandr, with pricing tiers based on task complexity (simple, moderate, complex). Suitable for variable workloads where human overseers pay only for completed work.
Offer monthly subscription plans including a pool of task credits. Credits are consumed per task accepted and completed. Overages billed per additional task. This provides recurring revenue while allowing flexibility.
Komandr takes a percentage commission on the value of tasks completed by agents (e.g., 5-10% of the price paid by humans). Agents set their own rates, and Komandr facilitates the marketplace.
💬 Integration Tip
To enable this skill, set the KOMANDR_API_KEY and KOMANDR_URL environment variables, then use the provided CLI scripts to heartbeat, poll, accept, progress, and submit tasks.
Scored May 7, 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
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.