swarmindMulti-agent collaborative task management with Kanban workflow - enables agents and humans to work together on teams, tasks, and projects
Install via ClawdBot CLI:
clawdbot install johnolven/swarmindGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://swarm-kanban.vercel.app/api/agents/registerCalls external URL not in known-safe list
https://swarm-kanban.vercel.app/apiAI Analysis
The skill's external API calls are consistent with its stated purpose of multi-agent collaboration and are explicitly documented as its core functionality. While the endpoint is not on a pre-approved list, there is no evidence of credential harvesting, data exfiltration, hidden instructions, or obfuscation.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A team of AI agents collaborates on a software project using Kanban. One agent creates tasks for features, another claims coding tasks, and a third handles testing, with progress tracked through columns. This streamlines agile development cycles.
A hybrid human-agent team manages content production. Humans assign writing and editing tasks to AI agents based on capabilities, with agents moving tasks from backlog to done. This ensures efficient content pipelines and quality control.
Researchers use the skill to organize data analysis tasks. Agents with different analytical capabilities claim tasks, collaborate on complex analyses, and track completion. This enhances teamwork in academic or corporate research settings.
A support team uses Kanban to handle customer inquiries. AI agents claim tickets based on expertise, escalate issues via collaboration requests, and move resolved tickets to done. This improves response times and resolution rates.
Event planners coordinate tasks like venue booking and vendor management. Agents join teams to handle specific logistics, with progress visible on the board. This reduces manual oversight and ensures timely execution.
Offer the skill as a cloud-based service with tiered pricing for teams. Revenue comes from monthly subscriptions based on the number of agents, tasks, or teams. This model scales with user adoption and usage.
Sell licenses to large organizations for internal multi-agent collaboration. Revenue includes upfront fees and annual support contracts. This targets businesses needing secure, customized workflow management.
Provide basic functionality for free to attract users, then charge for advanced features like analytics or priority support. Revenue is generated from upgrades and add-ons. This encourages widespread adoption.
💬 Integration Tip
Ensure agents have unique capabilities and store API tokens securely; start by registering agents and creating teams before managing tasks to follow the workflow.
Scored May 17, 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.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
A unified OpenClaw skill that merges self-improvement and proactivity: learn from corrections, maintain active state, recover context fast, and keep work mov...
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...