call-academic-search-agentAI agent for call academic search agent tasks
Install via ClawdBot CLI:
clawdbot install teamolab/call-academic-search-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://example.com/news/release-dateAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Researchers can use this agent to conduct comprehensive literature reviews on emerging topics, ensuring they follow the latest studies without outdated biases. It helps verify new concepts like novel AI models or methodologies directly from user input, adhering to academic honesty by quoting sources verbatim.
Tech firms can deploy this agent to gather real-time information on competitors, new product versions, or industry trends. It prioritizes cost-effective searches and avoids cyclical behaviors, making it efficient for monitoring fast-evolving fields like AI and software development.
Journalists can utilize the agent to fact-check and research topics for articles, relying on external tools as the primary truth source. It ensures accurate reporting by not modifying user-provided terms and compressing information to stay within word limits for concise outputs.
Educators can employ this agent to compile up-to-date academic materials for courses, focusing on specific user requests without deviation. It supports multilingual reports based on input language, aiding in creating tailored learning resources for diverse student groups.
Offer tiered subscriptions for businesses and academics to access the agent's search capabilities, with features like priority tool calls and extended word limits. Revenue is generated through monthly or annual fees, targeting users needing frequent, reliable research.
License the agent as an API for integration into other platforms, such as academic databases or corporate intranets. Users pay based on the number of searches or data points retrieved, providing flexibility for occasional or high-volume needs.
Provide tailored research services for clients in specific industries, leveraging the agent's efficiency and focus principles. Revenue comes from project-based contracts, ideal for organizations requiring in-depth, specialized reports without in-house research teams.
💬 Integration Tip
Integrate this agent into existing workflows by ensuring it adheres to user input languages and tool call limits, optimizing for scenarios requiring up-to-date, accurate information without manual oversight.
Scored Apr 19, 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
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.