name: narrator-ai-cli version: "1.0.1" license: MIT description: >- Create AI-narrated film/drama commentary videos via CLI. Two workflow paths (Original & Adapted narration), 93 movies, 146 BGM tracks, 63 dubbing voices in 11 languages, 90+ narration templates. Use when creating narration videos, film commentary, short drama dubbing, or video production. user-invocable: true tags:

• video-narration
• film-commentary
• ai-video
• short-drama
• content-creation
• dubbing
• tts
• video-production metadata: openclaw: emoji: "🎬" primaryEnv: NARRATOR_APP_KEY install:
  • name: narrator-ai-cli type: pip spec: "narrator-ai-cli @ https://github.com/jieshuo-ai/narrator-ai-cli/archive/refs/tags/v1.0.0.zip" requires: bins:
    • narrator-ai-cli env:
    • NARRATOR_APP_KEY

narrator-ai-cli — AI Video Narration CLI Skill

CLI client for Narrator AI video narration API. Designed for AI Agents and developers.

CLI Repo: https://github.com/jieshuo-ai/narrator-ai-cli Resources Preview: https://ceex7z9m67.feishu.cn/wiki/WLPnwBysairenFkZDbicZOfKnbc

Installation

# From GitHub release (recommended — pinned to a specific version)
pip install "narrator-ai-cli @ https://github.com/jieshuo-ai/narrator-ai-cli/archive/refs/tags/v1.0.0.zip"

# Or from GitHub latest (tracks main branch)
pip install "narrator-ai-cli @ git+https://github.com/jieshuo-ai/narrator-ai-cli.git"

# Or clone + editable install
git clone https://github.com/jieshuo-ai/narrator-ai-cli.git
cd narrator-ai-cli && pip install -e .

Requires Python 3.10+. Dependencies: typer, httpx[socks], httpx-sse, pyyaml, rich.

Setup

# Interactive setup (server URL + API key)
narrator-ai-cli config init

# Or set directly
narrator-ai-cli config set app_key <your_app_key>
# No API key yet? Contact support: WeChat `gezimufeng` or email merlinyang@gridltd.com

# Verify
narrator-ai-cli config show
narrator-ai-cli user balance

Config stored at ~/.narrator-ai/config.yaml (permissions 0600). Server defaults to https://openapi.jieshuo.cn.

Environment variable overrides (take precedence over config file):

Architecture

src/narrator_ai/
├── cli.py              # Typer main entry point, 7 sub-command groups
├── client.py           # httpx client: GET/POST/DELETE/SSE/upload, auto auth via app-key header
├── config.py           # YAML config (~/.narrator-ai/config.yaml), env var override
├── output.py           # Rich table + JSON dual output (--json flag)
├── commands/
│   ├── config_cmd.py   # config init/show/set
│   ├── user.py         # balance/login/keys/create-key
│   ├── task.py         # 9 task types, create/query/list/budget/verify/search-movie/narration-styles/templates/get-writing/save-writing/save-clip
│   ├── file.py         # 3-step upload (presigned URL → OSS PUT → callback), download/list/info/storage/delete
│   ├── materials.py    # 93 pre-built movies (--genre, --search filters)
│   ├── bgm.py          # 146 BGM tracks (--search filter)
│   └── dubbing.py      # 63 voices, 11 languages (--lang, --tag, --search filters)
└── models/
    └── responses.py    # API response codes (SUCCESS=10000, FAILED=10001, etc.) + task status constants

Key design choices:

• All commands support --json for machine-readable output (always use when parsing programmatically)
• Request body via -d '{"key": "value"}' or -d @file.json
• HTTP client uses app-key header (not Bearer token)
• SSE streaming supported for real-time task progress (--stream)
• File upload is 3-step: presigned URL → direct OSS upload → callback confirmation

Core Concepts

Two Workflow Paths

Path 1: Adapted Narration (二创文案, Standard)

popular-learning → generate-writing → clip-data → video-composing → magic-video(optional)

Path 2: Original Narration (原创文案, Fast & Cheaper)

search-movie → fast-writing → fast-clip-data → video-composing → magic-video(optional)

3 Modes (target_mode for fast-writing)

Prerequisites: Select Resources

Before creating any task, gather these resources first.

1. Source Files (Video + SRT)

# Option A: Pre-built materials (93 movies, recommended)
narrator-ai-cli material list --json
narrator-ai-cli material list --search "飞驰人生" --json
narrator-ai-cli material list --genre 喜剧片 --json
narrator-ai-cli material genres --json
# Returns: video_id (= video_oss_key & negative_oss_key), srt_id (= srt_oss_key)

# Option B: Upload your own
narrator-ai-cli file upload ./movie.mp4 --json    # Returns file_id
narrator-ai-cli file upload ./subtitles.srt --json
narrator-ai-cli file list --json
narrator-ai-cli file transfer --link "<url>" --json          # transfer by HTTP/Baidu/PikPak link
narrator-ai-cli file info <file_id> --json
narrator-ai-cli file download <file_id> --json
narrator-ai-cli file storage --json
narrator-ai-cli file delete <file_id> --json

Supported formats: .mp4, .mkv, .mov, .mp3, .m4a, .wav, .srt, .jpg, .jpeg, .png

2. BGM (Background Music)

narrator-ai-cli bgm list --json                    # 146 tracks
narrator-ai-cli bgm list --search "单车" --json
# Returns: id (= bgm parameter in task creation)

3. Dubbing Voice

narrator-ai-cli dubbing list --json                 # 63 voices, 11 languages
narrator-ai-cli dubbing list --lang 普通话 --json
narrator-ai-cli dubbing list --tag 喜剧 --json
narrator-ai-cli dubbing languages --json
narrator-ai-cli dubbing tags --json
# Returns: id (= dubbing), type (= dubbing_type)

Languages: 普通话(39), English(4), 日语(3), 韩语(2), Spanish(3), Portuguese(2), German(2), French(2), Arabic(2), Thai(2), Indonesian(2).

4. Narration Style Templates (90+, 12 genres)

narrator-ai-cli task narration-styles --json
narrator-ai-cli task narration-styles --genre 爆笑喜剧 --json

Genres: 热血动作, 烧脑悬疑, 励志成长, 爆笑喜剧, 灾难求生, 悬疑惊悚, 惊悚恐怖, 东方奇谈, 家庭伦理, 情感人生, 奇幻科幻, 传奇人物

Use learning_model_id from template directly — no need for popular-learning step.

Fast Path Workflow (Recommended)

Step 0: Search Movie Info

Required for target_mode=1. Do NOT fabricate confirmed_movie_json.

narrator-ai-cli task search-movie "飞驰人生" --json

Returns up to 3 results with: title, local_title, original_title, year, director, stars, genre, summary, poster_url, is_partial.

⚠️ May take 60+ seconds (Gradio backend). Results cached 24h.

Step 1: Fast Writing

narrator-ai-cli task create fast-writing --json -d '{
  "learning_model_id": "<from narration-styles>",
  "target_mode": "1",
  "playlet_name": "飞驰人生",
  "confirmed_movie_json": <paste search-movie result>,
  "model": "flash"
}'

Full parameters:

Output: task_id → poll until status=2 → extract task_id + results.file_ids[0]

Step 2: Fast Clip Data

narrator-ai-cli task create fast-clip-data --json -d '{
  "task_id": "<task_id from step 1>",
  "file_id": "<results.file_ids[0] from step 1>",
  "bgm": "<bgm_id>",
  "dubbing": "<voice_id>",
  "dubbing_type": "普通话",
  "episodes_data": [{"video_oss_key": "<video_file_id>", "srt_oss_key": "<srt_file_id>", "negative_oss_key": "<video_file_id>", "num": 1}]
}'

Optional: narration_script_file, custom_cover, subtitle_style, font_path

Output: task_order_num (used as order_num in video-composing)

Step 3: Video Composing

IMPORTANT: order_num comes from fast-clip-data (step 2).

narrator-ai-cli task create video-composing --json -d '{
  "order_num": "<task_order_num from step 2>",
  "bgm": "<bgm_id>",
  "dubbing": "<voice_id>",
  "dubbing_type": "普通话"
}'

Optional: custom_cover, subtitle_style, font_path

Output: task_id, video URLs in results

Step 4 (Optional): Magic Video — Visual Template

# List templates first
narrator-ai-cli task templates --json

# One-stop mode (from video-composing task_id)
narrator-ai-cli task create magic-video --json -d '{
  "task_id": "<task_id from step 3>",
  "template_name": ["template_name"]
}'

# Staged mode (from clip data file_id)
narrator-ai-cli task create magic-video --json -d '{
  "file_id": "<file_id from step 2 results.file_ids[0]>",
  "template_name": ["template_name"]
}'

Optional: template_params (per-template params dict), mode (one_stop/staged), clip_data (JSON object for staged mode)

Output: sub_tasks with rendered video URLs

Standard Path Workflow

Step 1: Popular Learning (optional if using pre-built template)

narrator-ai-cli task create popular-learning --json -d '{
  "video_srt_path": "<srt_file_id>",
  "video_path": "<video_file_id>",
  "narrator_type": "movie",
  "model_version": "advanced"
}'

Output: learning_model_id (query task until status=2, extract from results)

Step 2: Generate Writing

narrator-ai-cli task create generate-writing --json -d '{
  "learning_model_id": "<from step 1 or pre-built template>",
  "learning_srt": "",
  "native_video": "",
  "native_srt": "",
  "playlet_name": "Movie Name",
  "playlet_num": "1",
  "target_platform": "抖音",
  "vendor_requirements": "",
  "task_count": 1,
  "target_character_name": "<main_character_name>",
  "story_info": "",
  "episodes_data": [{"video_oss_key": "<video_file_id>", "srt_oss_key": "<srt_file_id>", "negative_oss_key": "<video_file_id>", "num": 1}]
}'

Output: task_order_num + results.file_ids[0]

Step 3: Clip Data

narrator-ai-cli task create clip-data --json -d '{
  "order_num": "<task_order_num from step 2>",
  "bgm": "<bgm_id>",
  "dubbing": "<voice_id>",
  "dubbing_type": "普通话"
}'

Output: file_ids[0] (for magic-video staged mode)

Step 4-5: Same as Fast Path Steps 3-4

IMPORTANT: video-composing uses order_num from generate-writing (step 2), NOT from clip-data.

Standalone Tasks

Voice Clone

narrator-ai-cli task create voice-clone --json -d '{"audio_file_id": "<file_id>"}'

Optional: clone_model (default: pro). Output: task_id, voice_id.

Text to Speech

narrator-ai-cli task create tts --json -d '{"voice_id": "<voice_id>", "audio_text": "Text to speak"}'

Optional: clone_model (default: pro). Output: task_id with audio result.

Task Management

# Query task status (poll until status 2=success or 3=failed)
narrator-ai-cli task query <task_id> --json

# List tasks with filters
narrator-ai-cli task list --json
narrator-ai-cli task list --status 2 --type 9 --json    # completed fast-writing
narrator-ai-cli task list --category commentary --json

# Estimate points cost before creating
narrator-ai-cli task budget --json -d '{
  "learning_model_id": "<id>",
  "native_video": "<file_id>",
  "native_srt": "<file_id>"
}'
# Returns: viral_learning_points, commentary_generation_points, video_synthesis_points, visual_template_points, total_consume_points

# Verify materials before task creation
narrator-ai-cli task verify --json -d '{
  "bgm": "<file_id>",
  "dubing_id": "<voice_id>",
  "native_video": "<file_id>",
  "native_srt": "<file_id>"
}'
# Returns: is_valid (bool), errors (list), warnings (list)

# Retrieve/save narration scripts
narrator-ai-cli task get-writing --json
narrator-ai-cli task save-writing -d '{...}'
narrator-ai-cli task save-clip -d '{...}'

# List task types with details
narrator-ai-cli task types -V

Task type IDs (for --type filter):

Task status codes: 0=init, 1=in_progress, 2=success, 3=failed, 4=cancelled.

File Operations

narrator-ai-cli file upload ./video.mp4 --json       # 3-step: presigned → OSS → callback
narrator-ai-cli file list --json                       # pagination, --search filter
narrator-ai-cli file info <file_id> --json             # name, path, size, category, timestamps
narrator-ai-cli file download <file_id> --json         # returns presigned URL (time-limited)
narrator-ai-cli file storage --json                    # used_size, max_size, usage_percentage
narrator-ai-cli file delete <file_id> --json           # irreversible

File categories: 1=video, 2=audio, 3=image, 4=doc, 5=torrent, 6=other.

User & Account

narrator-ai-cli user balance --json      # account points balance
narrator-ai-cli user login --json        # login with username/password
narrator-ai-cli user keys --json         # list sub API keys
narrator-ai-cli user create-key --json   # create a new sub API key

Error Handling

Support Contact (for balance/billing, app_key issues — including obtaining, renewing, or troubleshooting API keys): WeChat gezimufeng, or email merlinyang@gridltd.com

CLI exits code 1 on any error, prints to stderr.

Data Flow Summary

                 material list / file upload → video_file_id, srt_file_id
                 bgm list → bgm_id
                 dubbing list → dubbing, dubbing_type
                 narration-styles → learning_model_id
                        │
    ┌───────────────────┼───────────────────────┐
    │  Standard Path    │           Fast Path    │
    ▼                   │                        ▼
 popular-learning       │              search-movie
 OUT: learning_model_id │              OUT: confirmed_movie_json
 (or use template)      │                        │
    │                   │                        ▼
    ▼                   │              fast-writing
 generate-writing       │              OUT: task_id, file_ids[0]
 OUT: task_order_num ─┐ │                        │
     file_ids[0]      │ │                        ▼
    │                 │ │              fast-clip-data
    ▼                 │ │              IN: task_id + file_id from above
 clip-data            │ │              OUT: task_order_num
 OUT: file_ids[0]     │ │                        │
    │                 │ │                        │
    └─────────────────┼─┼────────────────────────┘
                      │ ▼
                 video-composing
                 IN: order_num (from writing step!)
                     bgm, dubbing, dubbing_type
                 OUT: task_id, video URLs
                        │
                        ▼
                 magic-video (optional)
                 IN: task_id (one-stop) OR file_id (staged)
                     template_name (from 'task templates')
                 OUT: sub_tasks with rendered video URLs

⚠️ Important Notes

1. Always search-movie before fast-writing with target_mode=1. Never fabricate confirmed_movie_json — it produces nonsensical narration.
2. Source file_ids from file list or material list. Never guess file_ids.
3. Tasks are async. Create returns task_id → poll task query <task_id> --json until status 2 (success) or 3 (failed).
4. search-movie may take 60+ seconds (Gradio backend, cached 24h). Set adequate timeout.
5. video-composing uses the writing step's order_num, NOT clip-data's. This is the most common mistake.
6. Prefer pre-built narration templates over running popular-learning. Use task narration-styles --json to list, browse https://ceex7z9m67.feishu.cn/wiki/WLPnwBysairenFkZDbicZOfKnbc for preview.
7. Use -d @file.json for large request bodies to avoid shell quoting issues.
8. Use task verify before creating expensive tasks to catch missing/invalid materials early.
9. Use task budget to estimate points cost before committing to a task.

🔒 Data & Privacy

• API Endpoint: All API requests are sent to https://openapi.jieshuo.cn (the Narrator AI service). No data is sent to any other third-party service.
• File Upload: The file upload flow (presigned URL → OSS PUT → callback) transfers user-provided media files to the Narrator AI cloud for server-side video processing. Uploaded files are bound to your account and are not shared publicly.
• Credentials: An API key (NARRATOR_APP_KEY) is required and stored locally at ~/.narrator-ai/config.yaml. Keep this file private and do not commit it to version control.
• Scope: This skill only orchestrates CLI commands — it does not access, read, or transmit any files beyond those you explicitly provide as input to a task.

🧠 Narrator AI CLI Skill — Teach Your AI Agent to Create Movie Narration Videos

中文文档

Install this Skill in your AI agent (OpenClaw, Windsurf, WorkBuddy, etc.), then just say "create a movie narration video" — the AI handles the rest.

What is this?

A machine-readable skill file (SKILL.md) that teaches AI agents how to use the narrator-ai-cli tool for automated video narration production.

You say: "Create a narration video for Pegasus in a comedy style"

AI executes: Search movie → Select template → Choose BGM → Pick voice → Generate script → Compose video → Return download link

How CLI and Skill work together

In short: CLI is the hands. Skill is the brain. Together, the AI agent can produce videos end-to-end.

Quick Start

Step 1: Install the CLI tool

pip install "narrator-ai-cli @ git+https://github.com/jieshuo-ai/narrator-ai-cli.git"

See narrator-ai-cli for detailed installation options.

Step 2: Configure API key

narrator-ai-cli config set app_key <your_app_key>

📧 Need an API key? Email merlinyang@gridltd.com or scan the QR code at the bottom of this page.

Step 3: Install the Skill

Choose the method for your agent platform:

OpenClaw:

mkdir -p ~/.openclaw/skills/narrator-ai-cli
cp SKILL.md ~/.openclaw/skills/narrator-ai-cli/SKILL.md

WorkBuddy / QClaw (Tencent):

Upload SKILL.md through the skill management UI.

Windsurf:

cp SKILL.md /path/to/your/project/.skills/narrator-ai-cli/SKILL.md

Claude Code / Cursor:

cp SKILL.md /path/to/your/project/.skills/narrator-ai-cli/SKILL.md

Any markdown-reading agent:

cp SKILL.md /path/to/agent/skills/narrator-ai-cli/SKILL.md

💡 Tip: You can also just give the agent this repo URL — most agents can read the GitHub repo structure and auto-configure.

Step 4: Start talking!

Once installed, use natural language:

• "Create a narration video for The Shawshank Redemption"
• "Show me what movies are available"
• "Make 5 narration videos for different action movies"
• "Use a comedy template and generate a narration"

Tested Platforms

Capabilities

What's in SKILL.md

Requirements

• CLI: narrator-ai-cli v0.1.0+
• Python: 3.10+
• Dependencies: typer, httpx[socks], httpx-sse, pyyaml, rich
• API key: Contact us to get one

Links

• 📦 narrator-ai-cli CLI repo
• 📖 Resource preview (Feishu Docs)
• 🦞 OpenClaw agent framework

Contact

Need an API key or help?

• 📧 Email: merlinyang@gridltd.com
• 💬 WeChat: Scan the QR code below

License

MIT