Use when reasoning about the protocol-level cycle by which a language model uses external tools: the four phases (declaration, request, execution, continuation), the message-history state model that ties them together, the structural differences between vendor protocols (Anthropic tool-use, OpenAI function-calling, MCP) and how they compose, parallel vs sequential tool calls, error handling and retries inside the cycle, and the separation between the model (which produces structured intent) and the runtime (which executes the intent and routes results back). Do NOT use for the decision of when and how many tool calls to make (use tool-call-strategy), agent-system architecture and coordination patterns (use agent-engineering), prompt wording (use prompt-craft), or the design of evals for tool-use behavior (use agent-eval-design).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryEngineeringStars0
About this skill
Use when reasoning about the protocol-level cycle by which a language model uses external tools: the four phases (declaration, request, execution, continuation), the message-history state model that ties them together, the structural differences between vendor protocols (Anthropic tool-use, OpenAI function-calling, MCP) and how they compose, parallel vs sequential tool calls, error handling and retries inside the cycle, and the separation between the model (which produces structured intent) and the runtime (which executes the intent and routes results back). Do NOT use for the decision of when and how many tool calls to make (use tool-call-strategy), agent-system architecture and coordination patterns (use agent-engineering), prompt wording (use prompt-craft), or the design of evals for tool-use behavior (use agent-eval-design).
Quick start
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Use when reasoning about the protocol-level cycle by which a language model uses external tools: the four phases (declaration, request, execution, continuation), the message-history state model that ties them together, the structural differences between vendor protocols (Anthropic tool-use, OpenAI function-calling, MCP) and how they compose, parallel vs sequential tool calls, error handling and retries inside the cycle, and the separation between the model (which produces structured intent) and the runtime (which executes the intent and routes results back). Do NOT use for the decision of when and how many tool calls to make (use tool-call-strategy), agent-system architecture and coordination patterns (use agent-engineering), prompt wording (use prompt-craft), or the design of evals for tool-use behavior (use agent-eval-design).
About this listing
Category
Engineering
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI