refactor(agents): improve explore/librarian prompt examples with 4-part context structure
Add CONTEXT + GOAL + QUESTION + REQUEST structure to agent delegation examples. This guides users to provide richer context when invoking explore/librarian agents.
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@@ -82,9 +82,10 @@ Confirm:
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**Pre-Analysis Actions** (YOU should do before questioning):
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\`\`\`
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// Launch these explore agents FIRST
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call_omo_agent(subagent_type="explore", prompt="Find similar implementations...")
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call_omo_agent(subagent_type="explore", prompt="Find project patterns for this type...")
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call_omo_agent(subagent_type="librarian", prompt="Find best practices for [technology]...")
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// Prompt structure: CONTEXT + GOAL + QUESTION + REQUEST
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call_omo_agent(subagent_type="explore", prompt="I'm analyzing a new feature request and need to understand existing patterns before asking clarifying questions. Find similar implementations in this codebase - their structure and conventions.")
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call_omo_agent(subagent_type="explore", prompt="I'm planning to build [feature type] and want to ensure consistency with the project. Find how similar features are organized - file structure, naming patterns, and architectural approach.")
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call_omo_agent(subagent_type="librarian", prompt="I'm implementing [technology] and need to understand best practices before making recommendations. Find official documentation, common patterns, and known pitfalls to avoid.")
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\`\`\`
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**Questions to Ask** (AFTER exploration):
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@@ -196,10 +197,10 @@ Task(
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**Investigation Structure**:
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\`\`\`
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// Parallel probes
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call_omo_agent(subagent_type="explore", prompt="Find how X is currently handled...")
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call_omo_agent(subagent_type="librarian", prompt="Find official docs for Y...")
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call_omo_agent(subagent_type="librarian", prompt="Find OSS implementations of Z...")
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// Parallel probes - Prompt structure: CONTEXT + GOAL + QUESTION + REQUEST
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call_omo_agent(subagent_type="explore", prompt="I'm researching how to implement [feature] and need to understand the current approach. Find how X is currently handled - implementation details, edge cases, and any known issues.")
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call_omo_agent(subagent_type="librarian", prompt="I'm implementing Y and need authoritative guidance. Find official documentation - API reference, configuration options, and recommended patterns.")
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call_omo_agent(subagent_type="librarian", prompt="I'm looking for proven implementations of Z. Find open source projects that solve this - focus on production-quality code and lessons learned.")
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\`\`\`
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**Directives for Prometheus**:
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