Context Gathering Prompt

A Context Gathering Prompt is an information gathering LLM system prompt that directs LLM agents to collect contextual information before executing agentic tasks.

• AKA: Context Collection Prompt, Information Gathering System Prompt, Agentic Context Query.
• Context:
  • It can typically structure Context Gathering Questions through context gathering templates.
  • It can typically prioritize Context Gathering Information Types via context gathering hierarchy rules.
  • It can typically minimize Context Gathering Interactions through context gathering efficiency patterns.
  • It can typically validate Context Gathering Completeness via context gathering verification checks.
  • It can typically organize Context Gathering Responses through context gathering data structures.
  • ...
  • It can often reduce Context Gathering Redundancy with context gathering deduplication logic.
  • It can often improve Context Gathering Relevance through context gathering filtering criteria.
  • It can often enhance Context Gathering User Experience via context gathering conversational flows.
  • It can often optimize Context Gathering Token Usage through context gathering compression techniques.
  • ...
  • It can range from being a Simple Context Gathering Prompt to being a Complex Context Gathering Prompt, depending on its context gathering requirement complexity.
  • It can range from being a Single-Turn Context Gathering Prompt to being a Multi-Turn Context Gathering Prompt, depending on its context gathering interaction depth.
  • It can range from being a Domain-Specific Context Gathering Prompt to being a General-Purpose Context Gathering Prompt, depending on its context gathering application scope.
  • It can range from being a Structured Context Gathering Prompt to being a Open-Ended Context Gathering Prompt, depending on its context gathering format flexibility.
  • ...
  • It can integrate with Persistence Prompts for context gathering task completion.
  • It can connect to Agentic Eagerness Traits for context gathering proactivity levels.
  • It can interface with Tool Preambles for context gathering tool usage.
  • It can synchronize with Reasoning Effort Parameters for context gathering depth control.
  • It can communicate with Verbosity Parameters for context gathering detail levels.
  • ...
• Examples:
  • Context Gathering Prompt Implementations, such as:
    • GPT-5 Context Gathering Prompt for context gathering agentic workflows with context gathering minimal round-trips.
    • Claude Context Gathering System implementing context gathering conversational patterns for context gathering natural interactions.
    • LangChain Context Gathering Module using context gathering chain structures for context gathering systematic collection.
  • Context Gathering Prompt Patterns, such as:
    • Hierarchical Context Gathering Pattern organizing context gathering priority levels from context gathering essential information to context gathering optional details.
    • Conditional Context Gathering Pattern applying context gathering branching logic based on context gathering user responses.
    • Iterative Context Gathering Pattern using context gathering refinement loops for context gathering completeness assurance.
  • Context Gathering Applications, such as:
    • Technical Support Context Gathering collecting context gathering system configurations and context gathering error details.
    • Project Planning Context Gathering gathering context gathering requirement specifications and context gathering constraint information.
    • Research Task Context Gathering acquiring context gathering domain knowledge and context gathering specific objectives.
  • ...
• Counter-Examples:
  • Assumption-Based Prompt, which proceeds without context gathering verification and risks incorrect assumptions.
  • Static Instruction Prompt, which lacks context gathering flexibility and follows predetermined paths.
  • Output-Only Prompt, which focuses on result generation without context gathering preparation.
• See: LLM System Prompt, Persistence Prompt, Agentic Workflow System, Information Gathering Technique, Prompt Engineering Technique, Agent Context Management, Conversational AI Pattern.

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