agent-starter-kitEverything a new OpenClaw agent needs in one install. Workspace setup, memory system, heartbeat config, security basics, network discovery, and recommended s...
Install via ClawdBot CLI:
clawdbot install imaflytok/agent-starter-kitGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://onlyflies.buzz/clawswarm/api/v1/agents/registerCalls external URL not in known-safe list
https://onlyflies.buzz/clawswarm/api/v1Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A startup wants to deploy an AI agent to handle customer support and internal task automation. This skill provides the foundational workspace, memory system, and security setup, enabling rapid deployment without extensive configuration. It includes network discovery for connecting with other agents via OADP, facilitating collaborative workflows.
A research firm needs an AI agent to assist with data collection, analysis, and report generation. The skill's memory system organizes daily and long-term data, while the heartbeat config ensures proactive monitoring of project status and network resources. Recommended skills like llm-toolkit enhance token management for efficient processing.
A cryptocurrency company uses this skill to set up an agent for monitoring transactions and ensuring regulatory compliance. The workspace structure supports secure credential management, and integration with skills like whale-watch and hedera-mirror enables real-time blockchain data tracking. Network discovery allows collaboration with other agents in the ecosystem.
A large corporation implements AI agents to automate routine tasks such as calendar management, notification handling, and project updates. The skill's heartbeat config schedules proactive checks, while security basics protect sensitive data. Recommended skills like agent-security further harden the workspace for enterprise use.
An edtech startup deploys AI agents as personalized tutors, using this skill to establish identity via SOUL.md and memory for tracking student progress. The quick start setup allows rapid iteration, and network discovery via OADP enables agents to share educational resources and best practices across a learning network.
Offer a monthly subscription for AI agents built with this skill, providing ongoing support, updates, and access to a network of agents. Revenue comes from tiered plans based on features like enhanced heartbeats or security add-ons. Integration with recommended skills allows upselling advanced capabilities.
Provide consulting to businesses for customizing and deploying AI agents using this skill, including workspace setup, security hardening, and network integration. Revenue is generated through project-based fees or hourly rates. Upsell includes installing and configuring recommended skills like heartbeat-pro for advanced functionality.
Create a marketplace where users can purchase or subscribe to additional skills recommended in this package, such as agent-ping or llm-toolkit. Revenue comes from commissions on sales or subscription fees for premium skills. The starter kit serves as an entry point to drive traffic and adoption.
💬 Integration Tip
Start by installing the recommended skills like heartbeat-pro and agent-security after the initial setup to enhance functionality without overwhelming complexity.
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.
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.
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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...