prompt-preflight-qa
Review storyboard prompts and video-request prompts before generation. Use this when a prompt draft already exists and you need to catch weak first frames, drift risk, missing constraints, bad product timing, or generic ad-like language before spending model credits.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/postplusai/postplus-skills --skill prompt-preflight-qa- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads prompt-preflight-qa automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Prompt Preflight QA
Use When
- A storyboard prompt or full video request already exists.
- You need to catch weak first frames, missing constraints, drift risk, bad product timing, or generic ad-like language before spending credits.
- The output should be a concise readiness report, not creative approval.
Do Not Use When
- Do not use this after generation to judge finished creative quality.
- Do not rewrite the whole prompt unless the user asks; identify blockers and hand off to the right upstream skill.
Core Rule
Judge prompt quality by controllability, not by impressive prose.
Default Workflow
- Classify the prompt object: storyboard grid prompt, full video request, no-reference draft, or reference-led replication draft.
- Check opening strength, first-three-second hook legibility, viewer question, visible evidence, promise delivery, product timing, negative constraints, reference contract, explicit reference bindings, UGC realism, output format, and long-video segment plan.
- Create a machine-readable preflight report when it is useful.
- Return a concise verdict with risks, missing fields, likely drift, fixes, and whether the prompt can run now.
Blame Rule
Point the weakness to the correct upstream stage:
- bad route ->
media-routerorvideo-request-architect - missing or misfit hook logic ->
video-request-architect - weak hook decode ->
reference-decode - weak panel, beat, or request logic ->
video-request-architect - unclear learn/do-not-copy boundaries ->
reference-contract-builder
Output Shape
The artifact contains verdict, canRunNow, missingFields, majorRisks,
likelyDrift, and fixNow.
Stop Conditions
- Stop when required user intent, source evidence, or owned input artifacts are missing and guessing would change the result.
- If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.
Handoff
- Return
report.jsonor the stdout JSON plus the smallest upstream fix. - After fixes, rerun this preflight before generation.
Public Command Boundary
- Choose the smallest matching command or workflow from the user input and run it directly.
- If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.
- This public skill is instruction-driven. Produce the artifact described by the workflow directly from the available evidence.
- Do not call private provider/runtime paths or unpublished local tools.
- If the CLI returns a quote-confirmation challenge, run
postplus quote confirm --json --challenge-file <challenge.json>and retry with the returned token.
FAQ
What does the prompt-preflight-qa skill do?
Review storyboard prompts and video-request prompts before generation. Use this when a prompt draft already exists and you need to catch weak first frames, drift risk, missing constraints, bad product timing, or generic ad-like language before spending model credits.
How do I install prompt-preflight-qa?
Run npx skills add https://github.com/postplusai/postplus-skills --skill prompt-preflight-qa in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/prompt-preflight-qa/ (personal) or .claude/skills/prompt-preflight-qa/ (project).
Which AI agents can use prompt-preflight-qa?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is prompt-preflight-qa safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains prompt-preflight-qa?
It is published by postplusai in postplusai/postplus-skills. It has 821 recorded installs.
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