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talking-head-editor

口播 / talking-head 视频精剪 skill。适用于单人出镜口播、采访、自述、 课程讲解、播客切条等以 A-roll 说话为主的视频。Use when the user asks for “剪口播”, “删停顿”, “去废话”, “删语气词”, “jump cut”, “按字幕精剪”, “根据 transcript 粗剪”, “采访精剪”, “单人口播提速”, or “把这段 talking head 剪紧凑”.

DeepseekModel キュレーション済みスキル 品質 優秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=linyqh-speclip-skills-talking-head-editor-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name talking-head-editor description 口播 / talking-head 视频精剪 skill。适用于单人出镜口播、采访、自述、 课程讲解、播客切条等以 A-roll 说话为主的视频。Use when the user asks for “剪口播”, “删停顿”, “去废话”, “删语气词”, “jump cut”, “按字幕精剪”, “根据 transcript 粗剪”, “采访精剪”, “单人口播提速”, or “把这段 talking head 剪紧凑”. Talking Head Editor Use this skill to turn transcript-driven talking-head footage into a clean rough-cut plan. Prefer sentence-level transcript editing over scene-based montage logic. If the task also requires executable FFmpeg commands or delivery-safe export settings, read ../ffmpeg-best-practice/SKILL.md alongside this skill. Scope Remove long pauses, filler words, false starts, repeated phrases, and obvious tangents. Preserve the speaker's meaning, rhythm, and necessary breathing room. Produce sentence-level keep/delete decisions and merged cut ranges. Call out jump-cut risks, subtitle strategy, and export notes. Focus this first version on edit planning and execution specs, not automatic face tracking, B-roll retrieval, or template animation. Required Inputs Start once at least one of these exists: srt , vtt , or transcript with timestamps Review notes that mark lines to keep/remove Source media plus a request to first create sentence-level timestamps If the user only provides raw video without timestamps, first obtain or generate sentence-level timestamps before promising exact cut ranges. Default Workflow Decide the pacing preset: clean , creator , or viral . Read references/workflow.md for the end-to-end editing sequence. Read references/edit-rules.md when deciding what to delete, what to keep, how much handle to preserve, and how aggressively to merge. Read references/file-formats.md when returning structured outputs like edit_decision.json , merged segment tables, or subtitle plans. Produce three layers of output: editorial summary sentence-level keep/delete decisions merged execution segments with start/end timestamps If the user asks for commands, hand the merged segments to the FFmpeg workflow instead of improvising export parameters. Pacing Presets clean : conservative cleanup; remove only obvious dead air, major stumbles, and duplicate starts. creator : default creator pass; tighten intros, trim fillers, and compress weak transitions. viral : aggressive density; short pauses, hard trims, stronger subtitle emphasis, and more visible jump cuts. Output Contract Always return: chosen pacing preset and assumptions sentence-level keep/remove decisions for any ambiguous lines merged cut segments with start , end , and short rationale subtitle notes and jump-cut mitigation notes export or render notes if the user asks for final delivery Guardrails Do not cut inside a word, plosive, or audible breath unless a cover strategy is explicitly available. Prefer sentence boundaries over arbitrary silence boundaries. Merge nearby kept segments when semantic continuity is strong and the gap is below the preset threshold. Flag places that likely need punch-in, cutaway, B-roll, waveform mask, or subtitle emphasis to hide jump cuts. If the transcript quality is weak, say so explicitly and lower timestamp confidence. References End-to-end sequence: references/workflow.md Keep/remove heuristics and pacing rules: references/edit-rules.md Structured outputs and JSON/table schemas: references/file-formats.md
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
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.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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