Use when onboarding someone to a finished milestone or preparing a team review. Reads ROADMAP, REQUIREMENTS, CONTEXT, SUMMARY, and VERIFICATION artifacts into one MILESTONE_SUMMARY in .planning/reports/, then offers Q&A.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Purpose: Enable new team members to understand a completed project by reading one document and asking follow-up questions.
Output: MILESTONE_SUMMARY written to .planning/reports/, presented inline, optional interactive Q&A.
</objective>
<execution_context> @$HOME/.claude/get-shit-done/workflows/milestone-summary.md </execution_context>
<context> **Project files:** - `.planning/ROADMAP.md` - `.planning/PROJECT.md` - `.planning/STATE.md` - `.planning/RETROSPECTIVE.md` - `.planning/milestones/v{version}-ROADMAP.md` (if archived) - `.planning/milestones/v{version}-REQUIREMENTS.md` (if archived) - `.planning/phases/*-*/` (SUMMARY.md, VERIFICATION.md, CONTEXT.md, RESEARCH.md)User input:
<success_criteria>
.planning/reports/MILESTONE_SUMMARY-v{version}.mdNo reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
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.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
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
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
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…
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.