Use when starting GSD in a repo that has no .planning/ yet, or the user wants a new project set up. Questioning, optional research, requirements, and roadmap produce .planning/PROJECT.md, REQUIREMENTS.md, ROADMAP.md, and STATE.md.
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See how to installReview the instructions the agent will receive before you install.
<runtime_note>
Copilot (VS Code): Use vscode_askquestions wherever this workflow calls AskUserQuestion. They are equivalent — vscode_askquestions is the VS Code Copilot implementation of the same interactive question API.
</runtime_note>
Creates:
.planning/PROJECT.md — project context.planning/config.json — workflow preferences.planning/research/ — domain research (optional).planning/REQUIREMENTS.md — scoped requirements.planning/ROADMAP.md — phase structure.planning/STATE.md — project memoryAfter this command: Run /gsd-plan-phase 1 to start execution.
</objective>
<execution_context> @$HOME/.claude/get-shit-done/workflows/new-project.md @$HOME/.claude/get-shit-done/references/questioning.md @$HOME/.claude/get-shit-done/references/ui-brand.md @$HOME/.claude/get-shit-done/templates/project.md @$HOME/.claude/get-shit-done/templates/requirements.md </execution_context>
<process> Execute the new-project workflow from @$HOME/.claude/get-shit-done/workflows/new-project.md end-to-end. Preserve all workflow gates (validation, approvals, commits, routing). </process>No reviews yet. Tell others what you thought.
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Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents with tracing, configuring LightningStore, implementing reward functions, or optimizing prompts with RL/APO algorithms.
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Post-run self-evaluation system that scores agent output on correctness, clarity, actionability, and conciseness. Use after /team runs, skill executions, or when explicitly asked to evaluate output quality.
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Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video
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Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.
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Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning/RL/agents, alignment and interpretability, theory and science of DL, multimodal and…
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Use when designing a new REST or GraphQL API, reviewing an API spec before implementation, setting team API standards, or migrating REST to GraphQL. Covers resources, HTTP semantics, pagination, error handling, and pitfalls.
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