MCPInstall

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.

Installs
998
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/postplusai/postplus-skills --skill creative-qa
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads creative-qa automatically when relevant.

  3. 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.

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.

FAQ

What does the creative-qa skill do?

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.

How do I install creative-qa?

Run npx skills add https://github.com/postplusai/postplus-skills --skill creative-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/creative-qa/ (personal) or .claude/skills/creative-qa/ (project).

Which AI agents can use creative-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 creative-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 creative-qa?

It is published by postplusai in postplusai/postplus-skills. It has 998 recorded installs.

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