agent-debuggerDebug AI agent issues systematically. Covers tool failures, infinite loops, context overflow, rate limits, and performance bottlenecks. Use when agents misbe...
Install via ClawdBot CLI:
clawdbot install engsathiago/agent-debuggerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
A customer support AI agent repeatedly fails to resolve tickets due to infinite loops when accessing knowledge base tools. The debugger identifies the loop pattern and implements iteration limits to prevent repetitive failures, ensuring timely ticket resolution.
An e-commerce chatbot experiences context overflow during peak shopping seasons, leading to truncated product recommendations. The debugger helps compress context and optimize memory usage, improving response accuracy and user satisfaction.
A financial analysis agent hits API rate limits when fetching real-time market data, causing delays in reports. The debugger applies backoff strategies and request queuing to manage rate limits efficiently, ensuring reliable data retrieval.
A healthcare assistant AI fails to access patient records due to permission errors and tool misconfigurations. The debugger diagnoses permission issues and validates tool parameters, restoring secure access to critical data.
A content creation agent slows down due to excessive tool calls and memory inefficiencies when generating long-form articles. The debugger profiles performance bottlenecks and optimizes context usage, speeding up content generation.
Offer the Agent Debugger as a cloud-based service with tiered subscription plans. Provide real-time monitoring, automated fixes, and analytics dashboards for AI agent performance, targeting enterprises with multiple agents.
Provide expert consulting services to integrate the debugger into existing AI systems. Offer custom solutions for specific agent issues, training workshops, and ongoing support contracts to ensure optimal performance.
Release a free version with basic debugging capabilities for individual developers, while premium features like advanced analytics, team collaboration, and priority support are available through paid upgrades.
💬 Integration Tip
Integrate the debugger early in development cycles to proactively catch issues; use its diagnostic tools to log agent behavior and set up automated alerts for common problems like loops or rate limits.
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.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
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.