
Creative Qa
Turn a human reviewer’s pass/fail on generated images, voice, or video into a structured QA record with reasons, blame stage, and rerun guidance.
Install
npx skills add https://github.com/postplusai/postplus-skills --skill creative-qaWhat is this skill?
- Human-in-the-loop only—no invented approval or rejection
- Structured verdicts, issue categories, blame stage, and proposed action
- Targets images, voice takes, video renders, and final exports with version ids
- AI may normalize categories and suggest blame stages; humans confirm the record
- Part of PostPlus Media and Creative Production family (media-production)
Adoption & trust: 1 installs on skills.sh; 8 GitHub stars; 2/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
Recommended Skills
Journey fit
Creative production pipelines live in Build where assets are produced and tracked; this skill captures durable PM-style QA state instead of chat clutter. PM subphase matches production governance—verdicts, linkage to campaign/concept IDs, and proposed actions after human review.
Common Questions / FAQ
Is Creative Qa safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.
SKILL.md
READMESKILL.md - Creative Qa
# 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 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. ## 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 fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local pa