#prompt

The Agent Handoff Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Agent Manifest Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Agent Session Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Agent Trace Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Assistant Review Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Autocomplete Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Capability Discovery Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Context Window Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Human Approval Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The LLM Index Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The MCP Server Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Memory Scope Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Model Routing Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

The Output Guardrail Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.

A PlatPhorm Bookmark Cue Prompt is a PlatPhorm News dictionary concept for turning reader behavior into useful, reviewable article-listing signals. It treats the saved-story signal as a structured article-listing or network-graph concern, and it invites readers to take a specific interaction. In practice, it helps editors, services, and AI agents separate meaningful community response from raw engagement noise while preserving moderation context.

A PlatPhorm Comment Thread Prompt is a PlatPhorm News dictionary concept for turning reader behavior into useful, reviewable article-listing signals. It treats the discussion surface attached to a story as a structured article-listing or network-graph concern, and it invites readers to take a specific interaction. In practice, it helps editors, services, and AI agents separate meaningful community response from raw engagement noise while preserving moderation context.

A PlatPhorm Community Lens Prompt is a PlatPhorm News dictionary concept for turning reader behavior into useful, reviewable article-listing signals. It treats the view shaped by community context as a structured article-listing or network-graph concern, and it invites readers to take a specific interaction. In practice, it helps editors, services, and AI agents separate meaningful community response from raw engagement noise while preserving moderation context.

A PlatPhorm Discussion Recap Prompt is a PlatPhorm News dictionary concept for turning reader behavior into useful, reviewable article-listing signals. It treats the summary of community response as a structured article-listing or network-graph concern, and it invites readers to take a specific interaction. In practice, it helps editors, services, and AI agents separate meaningful community response from raw engagement noise while preserving moderation context.

A PlatPhorm Engagement Shelf Prompt is a PlatPhorm News dictionary concept for turning reader behavior into useful, reviewable article-listing signals. It treats the surface for active conversations as a structured article-listing or network-graph concern, and it invites readers to take a specific interaction. In practice, it helps editors, services, and AI agents separate meaningful community response from raw engagement noise while preserving moderation context.

A PlatPhorm Reaction Stack Prompt is a PlatPhorm News dictionary concept for turning reader behavior into useful, reviewable article-listing signals. It treats the collection of lightweight reader responses as a structured article-listing or network-graph concern, and it invites readers to take a specific interaction. In practice, it helps editors, services, and AI agents separate meaningful community response from raw engagement noise while preserving moderation context.