prepare-delivery-preview
Prepare the delivery preview payload from the generated assets.
Best use case
prepare-delivery-preview is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Prepare the delivery preview payload from the generated assets.
Teams using prepare-delivery-preview should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/prepare-delivery-preview/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How prepare-delivery-preview Compares
| Feature / Agent | prepare-delivery-preview | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Prepare the delivery preview payload from the generated assets.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# prepare-delivery-preview ## Overall Goal Prepare the delivery preview payload and metadata for human approval. ## Inputs - target.json - brief.md - draft.mp4 - cover.png ## Outputs - delivery/preview.json ## Staged Workflow 1. Draft the title, summary, and metadata. 2. Point the preview payload at the cover and draft video. 3. Write `delivery/preview.json`. ## Tool Route Options - shell for deterministic JSON output ## Detailed GUI Replay Hints - None. Delivery should only happen after preview approval. ## Failure Policy - Keep the last valid preview payload if a new one cannot be generated safely.
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