call-web-search-agent-strategy
AI agent for call web search agent strategy tasks
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/alvinecarn/call-web-search-agent-strategyWhat This Skill Does
The call-web-search-agent-strategy skill empowers the OpenClaw AI agent to perform sophisticated, targeted web research by implementing a high-efficiency strategy. Unlike simple search tools, this skill enforces a strict methodological framework that prioritizes user intent as the absolute primary source of truth. It is designed to navigate complex research requests by adhering to two golden rules: respecting the user's terminology (even when it contradicts existing internal knowledge) and maintaining strict cost and efficiency controls. By automating the research lifecycle—from task decomposition to iterative verification—the agent minimizes redundant effort and prevents common pitfalls like infinite loops or irrelevant data gathering.
Installation
To integrate this skill into your environment, use the OpenClaw CLI tool. Execute the following command in your terminal:
clawhub install openclaw/skills/skills/alvinecarn/call-web-search-agent-strategy
Ensure that you have appropriate network permissions configured for your OpenClaw agent, as this skill requires outbound web access to perform its duties.
Use Cases
This skill is ideal for:
- Market Research: Investigating emerging products or niche technologies where user-provided nomenclature may not yet be indexed in general knowledge bases.
- Competitive Intelligence: Tracking updates on specific software versions or company initiatives while strictly following user-defined research parameters.
- Fact-Checking: Validating claims where external online verification is required, ensuring that the agent does not 'correct' user inputs that are simply ahead of the curve.
- Long-form Report Generation: Synthesizing information into concise reports under 5,000 words for professional use.
Example Prompts
- "Research the latest architecture specs for the 'Quantum-X Processor' and provide a summary of its potential impact on machine learning workflows."
- "Perform a deep dive on 'Project Catalyst' version 4.2.1, tracking all official releases and developer community sentiment from the last month."
- "Investigate the 'Solaris-Sync protocol' as mentioned in the user-provided documentation, and report on its current compatibility with existing cloud infrastructures."
Tips & Limitations
- Respect the 5,000-word limit: The skill is optimized for precision. Overly broad requests may result in the agent hitting its internal limits for log length.
- Deadlock Handling: Trust the agent's internal mechanism. If the agent marks a sub-goal as [Blocked], do not force it to continue; review the alternative references it provides instead.
- Prioritize Preferences: Always provide specific constraints in your initial prompt. The agent treats user preferences as 'supreme commands' over its system-level defaults.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-alvinecarn-call-web-search-agent-strategy": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api
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