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Humanizes narrative copy by removing AI tells, varying rhythm, and stripping templated phrasing before publish
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Based on SOC occupation classification
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`.
| name | revisao-humanizada |
| description | Humanizes narrative copy by removing AI tells, varying rhythm, and stripping templated phrasing before publish |
| version | 0.1.0 |
Final pass on any narrative copy headed for a human audience. Strips the typical AI fingerprints: em-dashes, triadic patterns, hedging, monotone sentence length, and recycled connectors. Mirrors the global humanizer skill behavior, scoped to the marketing-engine pipeline.
copywriter-curto, caption-multi-platform, or any LLM-generated long-form text..specs/pieces/..specs/strategy/BRAND.md.text: string. The draft copy to humanize.language: string. Target language code (pt-BR, en, es).platform: string, optional. Platform context (ig, tiktok, youtube, linkedin, email, blog).brand_voice_path: string, optional. Path to .specs/strategy/BRAND.md for tone constraints.preserve_terms: array of strings, optional. Brand terms, product names, and CTAs that must stay verbatim.text and inventory AI tells: em-dashes, sentences starting with In conclusion, Moreover, Furthermore, triads like fast, simple, and effective.brand_voice_path if provided. Note the brand tone, banned words, and required phrasing.llm-router with task: humanization. Send the draft, language, platform, brand voice excerpt, and the preserve_terms list.perhaps, it could be argued).language.text: string. Humanized copy.changes: array of strings. Bullet log of edits applied.ai_tells_remaining: integer. Count of tells the final pass could not remove.passes_used: integer. How many humanization rounds ran.Input: { text: "In conclusion, color analysis is fast, simple, and effective.", language: "en", platform: "ig" }
Output: { text: "Color analysis works. It is quick. The results stick.", changes: ["removed In conclusion", "broke triad fast/simple/effective"], ai_tells_remaining: 0, passes_used: 1 }
Input: a 200-word draft full of em-dashes and triads. Output: same paragraph rewritten with mixed sentence rhythm, em-dashes converted, brand terms intact.
copywriter-curto: produces the draft this skill polishes.caption-multi-platform: each variant is humanized before being scheduled.llm-router: actually runs the LLM call for the humanization pass.compliance-generic: should run after humanization to confirm no banned phrasing slipped in.