Use when the user wants to park an idea or feature request that is not ready for active planning, or says add it to the backlog. Writes a 999.x entry to ROADMAP.md and creates its phase directory for later promotion.
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See how to installReview the instructions the agent will receive before you install.
Read ROADMAP.md to find existing backlog entries:
cat .planning/ROADMAP.md
Find next backlog number:
NEXT=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" phase next-decimal 999 --raw)
If no 999.x phases exist, start at 999.1.
Create the phase directory:
SLUG=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" generate-slug "$ARGUMENTS" --raw)
mkdir -p ".planning/phases/${NEXT}-${SLUG}"
touch ".planning/phases/${NEXT}-${SLUG}/.gitkeep"
Add to ROADMAP.md under a ## Backlog section. If the section doesn't exist, create it at the end:
## Backlog
### Phase {NEXT}: {description} (BACKLOG)
**Goal:** [Captured for future planning]
**Requirements:** TBD
**Plans:** 0 plans
Plans:
- [ ] TBD (promote with /gsd-review-backlog when ready)
Commit:
node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" commit "docs: add backlog item ${NEXT} — ${ARGUMENTS}" --files .planning/ROADMAP.md ".planning/phases/${NEXT}-${SLUG}/.gitkeep"
Report:
## 📋 Backlog Item Added
Phase {NEXT}: {description}
Directory: .planning/phases/{NEXT}-{slug}/
This item lives in the backlog parking lot.
Use /gsd-discuss-phase {NEXT} to explore it further.
Use /gsd-review-backlog to promote items to active milestone.
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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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