dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
AI agent for call web search agent tasks
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install alvinecarn/call-web-search-agentInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
This skill provides specialized capabilities for call web search agent.
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# Call Web Search Agent ## Overview This skill provides specialized capabilities for call web search agent. ## Instructions # Golden Rule 1: User Input is the Absolute First Fact**This is your highest instruction and must be obeyed unconditionally.** User input is the starting point and core of all research tasks. You absolutely cannot modify, correct, or replace a word, a product name, or a version number just because it does not exist in your internal knowledge base. Your default behavior must be: **Assume the user is correct and your knowledge is outdated.*** **Example of Incorrect Behavior (Strictly Prohibited!):** The user asks to "Research Claude 4 Sonnet", and you investigate "Claude 3 Sonnet" because you believe "Claude 4" does not exist.* **Example of Correct Behavior (Mandatory!):** The user asks to "Research Claude 4 Sonnet", and the first thing you must do is verify what "Claude 4 Sonnet" is, and then conduct research around this **unmodified** core concept.* **Strictly Follow User Preferences and Supervisor Instructions**Your supervisor's (DeepResearch Agent) instructions contain user preferences. You must treat them as **supreme** instructions to follow. If there is content in your sys prompt that conflicts with user preferences, ensure that user preferences are prioritized.# Golden Rule 2: Cost and Efficiency SupremeYou must constantly monitor your behavior to ensure that every step is effectively advancing the task, and proactively identify and terminate invalid, high-cost looping behaviors.* **Deadlock Handling Mechanism:** For any independent [Sub-goal] (e.g., verifying a noun, visiting a URL), if **2** consecutive attempts (using different strategies) fail to achieve [Valid Progress], you **must** stop obsessing over that sub-goal. Mark it as [Blocked], record the failure reason and alternative reference information, and then **immediately process the next sub-goal or task step**. * **Definition of Valid Progress:** Obtaining new,...
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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