Use when an approved system design exists and the product includes LLM, agent, retrieval, classifier, extractor, or model-driven automation components that need architectural definition before implementation. Produces capability classification, model contracts, context and memory strategy, retrieval and grounding topology, tool and action surface, agent control flow, failure taxonomy, evaluation and guardrail plans, cost and latency budgets, model routing, observability requirements, and implementation handoff notes. Do not use for generic backend service design, data pipeline design, product requirement definition, or vendor-specific SDK scaffolding; use backend-architecture, data-architecture, idea-development, or implementations/ai/ instead.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryData & analyticsStars0
About this skill
Use when an approved system design exists and the product includes LLM, agent, retrieval, classifier, extractor, or model-driven automation components that need architectural definition before implementation. Produces capability classification, model contracts, context and memory strategy, retrieval and grounding topology, tool and action surface, agent control flow, failure taxonomy, evaluation and guardrail plans, cost and latency budgets, model routing, observability requirements, and implementation handoff notes. Do not use for generic backend service design, data pipeline design, product requirement definition, or vendor-specific SDK scaffolding; use backend-architecture, data-architecture, idea-development, or implementations/ai/ instead.
Quick start
Copy the install prompt. Use the green button above this README.
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Use when an approved system design exists and the product includes LLM, agent, retrieval, classifier, extractor, or model-driven automation components that need architectural definition before implementation. Produces capability classification, model contracts, context and memory strategy, retrieval and grounding topology, tool and action surface, agent control flow, failure taxonomy, evaluation and guardrail plans, cost and latency budgets, model routing, observability requirements, and implementation handoff notes. Do not use for generic backend service design, data pipeline design, product requirement definition, or vendor-specific SDK scaffolding; use backend-architecture, data-architecture, idea-development, or implementations/ai/<vendor> instead.
About this listing
Category
Data & analytics
Reported license
MIT
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.