Repository

zenstory-ai/video-recap-skills agent skills

Every skill in the zenstory-ai/video-recap-skills repository on GitHub, ranked by score, with the commands to install them.
skills
7
GitHub stars
561

GitHub description: “Claude Code / Codex skills that turn a video into a Chinese narration recap (视频解说): scene detection, ASR, VLM, script, TTS, ffmpeg assembly, optional editable JianYing / CapCut draft export (剪映草稿导出). Local ffmpeg + one MiMo key, no GPU. | 用 Claude Code skills 把视频做成中文解说成片,可选一键导出可编辑剪映草稿。”

Stars
561 (105 forks)
Licence
MIT
Last push
Oct 2026
Created
May 2026
  • claude-code
  • video-narration
  • video-recap
  • tts
  • ai-agent
  • asr
  • claude-code-plugin
  • claude-skills
  • ffmpeg
  • llm
  • mimo
  • video-summarization
  • vlm
  • xiaomi-mimo
  • video-clipping
  • agent-skills

Install all skills

skills CLI (any agent)
npx skills add zenstory-ai/video-recap-skills

Add --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).

Skills in zenstory-ai/video-recap-skills, ranked

Ranked by score. Sort bymost stars,trending,newest,recently updated

Skills in zenstory-ai/video-recap-skills, ranked
#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
1

从输入视频生成中文解说成片或原声剧情短片。用户提供 .mp4 / .mov / .mkv / .webm,并要求剪辑、添加旁白、 配音、总结、短剧/电视剧/电影/纪录片/科普解说时使用。负责编排 video- 技能链:视频理解 → Agent 制定故事与视听方案 → 剪辑 → 配音 → 合成。触发词:视频解说、视频旁白、生成解说、 视频 recap、video…

zenstory-ai/video-recap-skills561—~2.4kAutomated safety check: PassMIT7 days ago
2

合成视频解说最终成片:把旁白音频铺到源视频上,按旁白窗口压低原声,生成 SRT / ASS 字幕并可烧录, 最后做响度标准化。作为最终合成阶段使用。输入源视频、ttsmeta.json 与旁白位置; 输出 recap 成片和字幕。触发词:视频合成、混音、字幕、压字幕、assemble video、mux、ducking、subtitles、成片。

zenstory-ai/video-recap-skills561—~1.7kAutomated safety check: PassMIT7 days ago
3

把长视频按 Agent 选择的原片区间剪成短片。作为两阶段创作流程中的剪辑环节,读取 clipplan.json 与源视频, 输出 editedsource.mp4;随后 Agent 按输出时间线写 narration.json。支持单视频与多视频(sources manifest)拼剪, 本工具不读取、不映射旁白。

zenstory-ai/video-recap-skills561—~1.6kAutomated safety check: PassMIT7 days ago
4

按需把一部成片拆成可复用的制作参考:测镜头节奏与响度,标注段落与音轨分工,把原片事实与可迁移方法分开, 导出不含原片人名台词的 productionreference.json 供下次制作参考。不在默认生产路径上。

zenstory-ai/video-recap-skills561—~1.3kAutomated safety check: PassMIT7 days ago
5

对已完成分析的视频进行导演与剪辑策划,再写带时间戳的中文解说并校验;也处理已有短片的 宣发标题、花字修订和外部文案回填。普通策划输入 workdir 的 agentnarrationbrief.md 与 vlmanalysis.json;文案返修输入当前成片的工程与内容证据。策划输出 recapstoryplan.json、visualaudioboard.json、 可选…

zenstory-ai/video-recap-skills561—~2.4kAutomated safety check: PassMIT7 days ago
6

把视频分析为结构化理解索引:场景检测、ASR 转写、逐场景 VLM 观察、静音窗口、融合时间线和写作 brief. An agent skill from zenstory-ai/video-recap-skills.

zenstory-ai/video-recap-skills561—~1.1kAutomated safety check: PassMIT7 days ago
7

把带时间戳的 narration.json 合成为中文解说音频。使用 MiMo TTS(mimo-v2.5-tts)或 Fish Audio(s2.1-pro-free)或显式配置的通用 IndexTTS HTTP 服务逐段生成语音, 按时间窗动态适配语速并处理响度;输入输出时间线上的旁白,产出 ttssegments 与 ttsmeta.json。

zenstory-ai/video-recap-skills561—~1.6kAutomated safety check: PassMIT7 days ago

Questions, answered from the data.

What is the best skill in zenstory-ai/video-recap-skills?

Video Recap from zenstory-ai/video-recap-skills ranks first of the 7 skills in zenstory-ai/video-recap-skills listed here, with the highest score: its repository has 561 GitHub stars, its SKILL.md loads about 2.4k tokens and it passes the automated safety check with no findings. Next come Video Assemble and Video Cut.

Are the skills in zenstory-ai/video-recap-skills official?

None yet. All 7 skills in zenstory-ai/video-recap-skills listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.

How do I install all skills from zenstory-ai/video-recap-skills?

Run npx skills add zenstory-ai/video-recap-skills in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.

How are these skills ranked?

By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.