本文へ移動
cccskills
無料GitHub で公開

Avatar / UGC

Create authorized presenter, avatar, and UGC-style video drafts with explicit voice, likeness, consent, and synthetic-media handling.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md4.1 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Avatar / UGC

Mission

Produce a consented presenter or UGC-style draft from an authorized avatar image/video, script, and audio source. Keep visual identity, voice identity, spoken words, disclosure, and delivery format explicit. This skill does not authorize impersonation or publish synthetic media.

Consent gate

Before processing a real person's likeness or voice, confirm authorization for this production and intended distribution. Do not create non-consensual impersonation, sexualized deepfakes, deceptive political speech, or a minor's likeness. Record whether consent is unknown, claimed, verified, or approved for publication. A public profile or supplied file is not consent.

Collect:

  • avatar/person ID and authorized image/video reference;
  • script, pronunciation, language, captions, CTA, and disclosure text;
  • audio source: supplied recording, approved generated speech, or silence;
  • presenter framing, gesture, background, duration, ratio, and platform;
  • rights for avatar, voice, music, logos, and location; and
  • review owner, variant count, and cost/approval boundary.

Choose the path

InputsPreferred pathNotes
Existing presenter video + authorized audiomedia.lipsyncpreserve the parent video and inspect mouth/face sync
Authorized still/avatar image + audioLTX or another live image/audio lipsync schemause the current model schema; do not assume every lipsync tool accepts images
Image/video plus action or performance briefmedia.generate_videouse I2V/reference input, then inspect identity drift
No voice audio yetadjacent voice agent or available speech capabilityvoice authorization and script approval still required

Use MODELS.md and a live schema check. The current catalog contains more than one lipsync family and they accept different required URLs. The generic lipsync contract requires video and audio URLs; LTX 2.3's lipsync schema requires audio and may accept an image. Resolve exact fields through muapi-video-tools.md.

Execute

  1. Freeze the approved script. Mark every line as supplied, approved, or proposed; never add a factual claim for fluency.
  2. Upload local image, video, and audio inputs. Record roles, rights state, returned URLs, and expiry expectation without storing raw secrets.
  3. Check duration and segmentation. Split long speech into intentional segments only when the selected provider supports a reliable assembly path; preserve words and order across segments.
  4. Submit the selected job, retain its prediction ID, and poll or receive the result. Never silently switch a lip-sync job to a talking-avatar generator.
  5. Review mouth timing, phonemes, eyes, facial boundaries, head/hand motion, identity, background, captions, audio artifacts, and synthetic disclosure.
  6. Return the draft with a clear disclosure recommendation when a real person or generated voice is involved.

Use video QA and preserve parent/child links. If audio and video cannot be synchronized acceptably, report the failure and offer a new take or conventional edit rather than stretching speech silently.

Output contract

Return script/version, avatar and audio roles, consent state, model/endpoint, prediction ID, output URL, status, duration, caption/disclosure treatment, audio provenance, QA findings, and failed segments. Store a receipt under .video/ only when permitted using reports-and-receipts.md.

Publishing, creator outreach, and platform disclosure submission are outside this skill.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.

日本語の概要は準備中です。原文の説明を表示しています。

SamurAIGPT/open-ai-video-agent72026年8月28日 更新

Analyze a script or existing edit, identify visual gaps, and generate supplemental B-roll coverage with clear parent and factual-status labels.

日本語の概要は準備中です。原文の説明を表示しています。

SamurAIGPT/open-ai-video-agent72026年8月28日 更新

Build a consented continuity system for an authorized person, fictional character, product, or world across video shots.

日本語の概要は準備中です。原文の説明を表示しています。

SamurAIGPT/open-ai-video-agent72026年8月28日 更新

Translate creative intent into coherent cinematography, framing, camera, lens, lighting, motion, and sound direction for a video shot.

日本語の概要は準備中です。原文の説明を表示しています。

SamurAIGPT/open-ai-video-agent72026年8月28日 更新

Create a non-explicit romantic scene from authorized adult references with clear consent, identity boundaries, and synthetic-media labeling.

日本語の概要は準備中です。原文の説明を表示しています。

SamurAIGPT/open-ai-video-agent72026年8月28日 更新

Turn one approved topic into a curiosity-led 3D educational short with character sheets, ordered keyframes, motion clips, narration, captions, and an auditable assembly plan.

日本語の概要は準備中です。原文の説明を表示しています。

SamurAIGPT/open-ai-video-agent72026年8月28日 更新

SamurAIGPT のスキルをすべて見る

このスキルの問題を報告する