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From GSD Core
Generates an AI-SPEC.md design contract for a phase involving AI system development. Orchestrates framework selection, research, domain analysis, and evaluation planning.
How this command is triggered — by the user, by Claude, or both
Slash command
/gsd-core:ai-integration-phase [phase number]gsd/This command is limited to the following tools:
The summary Claude sees in its command listing — used to decide when to auto-load this command
<objective> Create an AI design contract (AI-SPEC.md) for a phase involving AI system development. Orchestrates gsd-framework-selector → gsd-ai-researcher → gsd-domain-researcher → gsd-eval-planner. Flow: Select Framework → Research Docs → Research Domain → Design Eval Strategy → Done </objective> <execution_context> @~/.claude/gsd-core/workflows/ai-integration-phase.md @~/.claude/gsd-core/references/ai-frameworks.md @~/.claude/gsd-core/references/ai-evals.md </execution_context> <context> Phase number: $ARGUMENTS — optional, auto-detects next unplanned phase if omitted. </context> <proc...
<execution_context>
@/.claude/gsd-core/workflows/ai-integration-phase.md
@/.claude/gsd-core/references/ai-frameworks.md
@~/.claude/gsd-core/references/ai-evals.md
</execution_context>
npx claudepluginhub left-try/rgsd13plugins reuse this command
First indexed Jun 7, 2026
Showing the 6 earliest of 13 plugins
/ai-integration-phaseGenerates an AI-SPEC.md design contract for a phase involving AI system development. Orchestrates framework selection, research, domain analysis, and evaluation planning.
/design-ai-featureDesigns an AI-powered feature end-to-end: model selection, prompt architecture, eval framework, failure modes, cost modeling, and improvement flywheel.
/speckit-planExecutes implementation planning from a feature spec, generating design artifacts including research.md, data-model.md, API contracts, and quickstart.md. Runs phases for research, design, and agent context updates.
/designDesigns architecture for a specific task, enforcing Library-First, CLI-First, SOLID, and DRY principles. Requires completed research phase.
/plan-systemInvokes rcc:planning-agent-systems skill to plan agent system components with traceability and reuse analysis.
/design-promptGenerates a complete system prompt package for an AI feature or product, including structured prompt, constraints, examples, rationale, context spec, and test cases.