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Validates a generated piece against platform technical specs for aspect ratio, resolution, duration, file size, and codec
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Unified public entrypoint for Simplicio's body-of-work orchestration: core + loop in one command. Use when the user types /simplicio-loop, says "ralph loop", "keep iterating until done", "finish all open issues", or asks to drain a queue of work autonomously. Runtime-agnostic: binds a real stop-hook where the host supports hooks (Claude, Cursor); otherwise self-paces via the host scheduler. The older /simplicio-tasks surface is a legacy alias; never escape the loop with a false promise.
Legacy compatibility alias for `/simplicio-loop`. Use only when an older install, adapter, or saved prompt still invokes `/simplicio-tasks`; immediately route the run through `.claude/skills/simplicio-loop/SKILL.md`, which now owns the public core + loop protocol.
One-shot bootstrap skill that wires HyperFrames (https://github.com/wesleysimplicio/hyperframes) into a marketing-engine clone as a first-class video provider — the three runtime skills, the provider class + mock, the routing matrix rows, env vars, and CLAUDE.md updates. Idempotent. Invoke when a fresh clone needs HyperFrames added, or when reapplying the integration after a rebase that dropped any piece of it.
Runs the HyperFrames CLI dev loop — init, lint, inspect, preview, render — for compositions authored under the `hyperframes` skill. Invoked after the composition HTML is on disk and before the piece is marked complete.
Translates a marketing-engine piece brief into the input shape the `hyperframes` skill expects (composition spec) and the flags the `hyperframes-cli` skill needs to render it. Selected by `video-prompt-builder` when the routing matrix resolves to the `hyperframes` provider.
Author HTML-as-source-of-truth motion compositions (kinetic type, motion quote cards, programmatic data-viz reels) for the HyperFrames renderer. Used whenever the video provider resolved by the routing matrix is `hyperframes`.
Baseado na classificação ocupacional SOC
| name | qa-tech-specs |
| description | Validates a generated piece against platform technical specs for aspect ratio, resolution, duration, file size, and codec |
| version | 0.1.0 |
Pre-publish validator for asset technical compliance. Reads platform specs from .specs/product/CHANNELS.md and compares them to the actual file metadata. Blocks publishing when a critical spec is violated.
adaptlypost or any direct platform API..specs/sprints/sprint-XX/.asset_path: string. Local path or URL to the file.asset_kind: string. image, video, carousel, audio.target_platforms: array of strings. Subset of ig_feed, ig_reel, ig_story, tiktok, youtube_shorts, youtube_long, facebook_feed, linkedin, x.channels_md_path: string, optional. Override path to .specs/product/CHANNELS.md.channels_md_path (default .specs/product/CHANNELS.md) and parse the spec table for each platform: aspect ratio, min and max resolution, max duration, max file size, accepted codec, accepted container.ffprobe for video and identify for image. Extract aspect ratio, resolution, duration, file size, codec, container.target_platform, compare actual values against the spec and record violations.hard (platform will reject) versus soft (platform will accept but quality drops).hard violation appears, set the overall pass flag to false.pass: boolean. False if any hard violation exists.per_platform: object. Map of platform -> { pass, violations, fixes }.metadata: object. The actual file metadata extracted.Input: { asset_path: "outputs/quote-card.png", asset_kind: "image", target_platforms: ["ig_feed", "ig_reel"] }
Output: { pass: false, per_platform: { ig_feed: { pass: true, violations: [], fixes: [] }, ig_reel: { pass: false, violations: [{ rule: "aspect_mismatch", expected: "9:16", actual: "1:1", severity: "hard" }], fixes: ["regenerate at 1080x1920 or center-crop with safe area"] } }, metadata: { width: 1080, height: 1080, format: "png", file_size_kb: 412 } }
Input: { asset_path: "outputs/reel-001.mp4", asset_kind: "video", target_platforms: ["tiktok", "youtube_shorts"] }
Output: pass true, both platforms accept the file.
soft and recommend a re-encode.caption-multi-platform: caption side of the same publish gate.wavespeed-batch: produces batch assets that should be validated by this skill.topview-prompt-builder: produces UGC video that often needs spec validation.higgsfield-prompt-builder: produces cinematic video that may need a re-encode pass.