agent-travelResearch unresolved agent problems during heartbeat, scheduled, task-end, failure-recovery, or idle windows; search official docs plus community sources; and...
Install via ClawdBot CLI:
clawdbot install gongyu0918-debug/agent-travelGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://docs.openclaw.ai/gateway/heartbeatAudited Apr 19, 2026 · audit v1.0
Generated May 12, 2026
An AI agent running a cloud orchestration platform can use agent-travel during heartbeat windows to research unresolved errors from failed automation runs. It searches official docs and forums for verified fixes, returning advisory hints that prevent recurring issues without auto-applying changes.
A customer support agent integrated with a software product can use agent-travel during idle periods to investigate user-reported bugs. It cross-checks community discussions and official documentation to provide accurate workarounds, reducing ticket resolution time.
A CI/CD agent can leverage agent-travel after a build failure to research similar issues in official changelogs and forums. It suggests context-aware solutions like version-specific patches, helping developers fix pipeline breaks faster.
A coding agent working with legacy code can use agent-travel during task-end windows to find alternative libraries or patterns from community Q&A. It provides version-scoped advice that avoids introducing incompatibilities.
An agent managing IoT devices can employ agent-travel on heartbeat to research firmware issues from official forums. It returns verified settings or patches, improving device stability without direct intervention.
Offer a premium support tier where an AI agent continuously learns from external sources to resolve customer issues pro-actively. This reduces manual support costs and improves SLAs.
Sell agent-travel as a separate skill in an agent marketplace, allowing customers to enhance their agents with safe external research capabilities. Charge per-search-budget or subscription.
Integrate agent-travel into a DevOps consulting service that automatically diagnoses recurring failures in client systems. Consultants use the suggestions to provide faster fixes, increasing contract value.
💬 Integration Tip
Integrate agent-travel by setting up event-driven triggers (e.g., heartbeat or task-end) and configuring search budgets per your cost and performance needs. Ensure your agent has access to the required search tools and the search-playbook.md reference for optimal query formation.
Scored Jul 18, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
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
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.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...