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creative-qa

Record human-in-the-loop quality judgments for generated images, voice takes, and videos in short-form production. Use this when a person has reviewed an asset and you need structured verdicts, reasons, issue categories, and rerun guidance without turning subjective approval into untracked chat history.

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Updated
less than a month ago
In the catalog since
6 Oct 2026
From
postplusai/postplus-skills
Get it through your agent npx skills add postplusai/postplus-skills@creative-qa

Skill instructions

Rendered from the published SKILL.md, 82 lines.

Creative QA

Use When

  • Record human-in-the-loop quality judgments for generated images, voice takes, video renders, and final exports.
  • Use after a person has reviewed an asset and you need structured verdicts, reasons, issue categories, blame stage, proposed action, and rerun guidance.

Do Not Use When

  • No human verdict exists yet.
  • The user wants autonomous AI approval.
  • The task is prompt critique before generation; use preflight or prompt QA instead.

Required Input

  • Human reviewer verdict and reasons.
  • Target object type, id, and version.
  • Reviewer and review timestamp.
  • Proposed action.

Human Rule

Humans decide quality. AI may summarize notes, normalize categories, and suggest likely blame stages, but only human-confirmed feedback becomes the durable QA record.

Do not invent approval, rejection, or reviewer intent.

Default Workflow

  1. Confirm the reviewed asset: type, id, version, and optional campaign/persona/concept linkage.
  2. Confirm the human reviewer, timestamp, verdict, and reasons.
  3. Normalize reasons into goodReasons, badReasons, issue categories, and blame stage.
  4. Decide proposed action: approve, rerun a specific stage, revise source input, or reject.
  5. If rerun guidance exists, build a feedback handoff with a concrete rerunTarget.
  6. Store or return the structured QA record next to the reviewed object or in the work folder's QA area.

Supported Objects

  • image
  • voice_take
  • video_render
  • final_export

Verdicts

Valid verdicts are approved, revise, and reject.

For revise or reject, require non-empty badReasons and issueCategories. For approved, these may be empty arrays.

Categories

Common issue categories:

  • lip_sync, persona_drift, audio_style, audio_pacing, hook_weak, ad_like, ugc_native_feel, visual_realism, subtitle_accuracy, mixed

Common blame stages:

  • image, script, voice, render, subtitle, mixed

Use blame stage as diagnostic guidance, not as a substitute for human verdict.

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 still fails after any bounded recovery allowed by the executing PostPlus skill, 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.

Output Shape

qaReport:

  • qaReportId, targetObjectType, targetObjectId, targetVersion, campaignId, personaId, conceptId, reviewer, reviewedAt, verdict, goodReasons, badReasons, issueCategories, blameStage, scores, proposedAction, status

Optional feedbackHandoff:

  • feedbackId, qaReportId, targetObjectType, targetObjectId, feedbackCategory, feedbackText, dependencyImpact, rerunTarget

Anti-Patterns

  • silently approving an asset
  • replacing a human verdict with an AI guess
  • using vague stage labels as rerun targets
  • losing linkage to the reviewed object version
  • preserving subjective chat notes without structured reasons

Handoff

  • Return the structured QA record structured output or an explicit blocker. If feedback is present, hand off to the named rerun target with the QA record attached.

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 still fails after any bounded recovery allowed by the executing PostPlus skill, 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.