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
官方收录技能
质量 优秀 · 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
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |