AugmentClaude

Video Recap

Generate a Chinese-narrated recap video from your input video automatically.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.

    This copies the whole skill folder into ~/.claude/skills/video-recap-worldwonderer/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Generate a Chinese-narration recap video from an input video, end to end. Use when the user gives a video file (.mp4 / .mov / .mkv / .webm) and asks to add narration, generate voiceover, dub, summarize, or produce a recap (短剧 / 电视剧 / 电影 / 纪录片 / 科普). Orchestrates the video-* skill bundle: understanding → (agent writes narration) → cut → voiceover → assemble. 触发词: 视频解说, 视频旁白, 生成解说, 视频recap, video recap, voiceover, narration, auto-dub, recap.

What this skill does

What this is

A thin orchestrator over five independent, self-contained skills (each in skills/, sharing only JSON/MP4 artifacts in a work_dir — no shared code):

video-understanding ─▶ (agent writes narration.json per video-script) ─▶ [video-cut] ─▶ video-voiceover ─▶ video-assemble

It is resume-safe: rerun the same command after writing narration.json to continue. Phase B validates recap_run_manifest.json so an old work_dir from another source video or different run settings is rejected instead of silently reusing stale narration. Understanding artifacts are reused only when their provenance matches. For per-stage detail, read each skill's own SKILL.md.

Install / env

# ffmpeg: brew install ffmpeg | apt install ffmpeg | choco install ffmpeg
export MIMO_API_KEY=***          # ONE key drives ASR + VLM + TTS (all MiMo)

The whole pipeline runs on ffmpeg + a single MiMo key: ASR (mimo-v2.5-asr), VLM (mimo-v2.5), TTS (mimo-v2.5-tts). tp-* Token Plan keys default to the cn cluster (MIMO_TOKEN_PLAN_CLUSTER). Optional MiMo scene-chunk video understanding: --mimo-video-overview.

Overridable defaults (zero-config otherwise): see references/config-playbook.md.

Use

0. Research first (recommended)

If you can identify the source (show, film, topic), research it before analyzing and write work_dir/background_research.json (see video-understanding/references/research-guide.md). video-understanding folds it into the VLM context, so scene analysis can name characters and read scenes with plot knowledge instead of labelling everyone "黑衣男子". Skip it when you can't research.

1. Analyze → pause for narration

python3 scripts/recap.py <video> --work-dir <work_dir> --context "背景"

Runs video-understanding (using background_research.json if you wrote it), writes agent_narration_brief.md, and pauses. Then write work_dir/narration.json following the video-script skill (read the brief first). Cut mode (--edit-mode cut --target-duration 10m) also requires clip_plan.json.

2. Continue → produce the recap

Rerun the same command (narration.json now exists):

python3 scripts/recap.py <video> --work-dir <work_dir>          # [--edit-mode cut] [--burn-subtitles]

This validates the narration, (cut: builds edited_source.mp4), synthesizes the voiceover, and assembles recap_<name>.mp4.

Self-check

python3 scripts/recap.py --doctor

Output

  • recap_<video>.mp4 — final video · subtitles.srt / .ass — subtitles
  • work_dir/ — all intermediate artifacts (the inter-skill contract; see references/data-schema.md)

Options (passed through to the stage skills)

--context, --scene-threshold, --style, --edit-mode {full,cut}, --target-duration, --skip-asr, --mimo-video-overview, --consolidate, --consolidate-asr, --mimo-tts-voice, --burn-subtitles, --output-dir.

What this skill does NOT do

  • Does NOT write narration.json / clip_plan.json — the agent authors those (see the video-script skill).
  • Does NOT hard-block on the narration review (advisory; validate.py is the hard gate).
  • Is NOT an unattended scheduler — it is human-in-the-loop and posts to no channel.
  • Shares NO code between stage skills — they communicate only through work_dir artifacts.

Related skills