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This skill is self-contained — no dependency on sn-image-base for LLM/VLM (T2I still goes through sn-image-base). Every call through $SKILL_DIR/scripts/run_stage.py. Every subcommand is deterministic: one input set → one output artifact → one-line JSON status.
<deck_dir>/task_pack.json exists and ppt_mode == "standard"<deck_dir>/info_pack.json existsAny missing → stop and tell user to enter via /skill sn-ppt-entry.
gen-image fails, don't write a placeholder PNG — the HTML stage will redesign around the missing slot.run_stage.py is the only place that builds payloads.timing / logging / retry layers. The skill is intentionally thin.npx skills add OpenSenseNova/SenseNova-Skills --skill sn-ppt-standardHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Clear and well structured, with only minor parts that might need a second read.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Mostly actionable with clear steps; only a few small gaps remain.