Use when a milestone audit reported gaps and you want the fix phases created in one pass. Reads MILESTONE-AUDIT.md, groups gaps into phases, adds them to ROADMAP.md and offers to plan each one.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Reads MILESTONE-AUDIT.md, groups gaps into logical phases, creates phase entries in ROADMAP.md, and offers to plan each phase.
One command creates all fix phases — no manual /gsd-add-phase per gap.
</objective>
<execution_context> @$HOME/.claude/get-shit-done/workflows/plan-milestone-gaps.md </execution_context>
<context> **Audit results:** Glob: .planning/v*-MILESTONE-AUDIT.md (use most recent)Original intent and current planning state are loaded on demand inside the workflow. </context>
<process> Execute the plan-milestone-gaps workflow from @$HOME/.claude/get-shit-done/workflows/plan-milestone-gaps.md end-to-end. Preserve all workflow gates (audit loading, prioritization, phase grouping, user confirmation, roadmap updates). </process>아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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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