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Douyin Blogger Analysis

Community
GanymedeNil
douyin-blogger-analysis

Analyze Douyin creators with bundled douyin-agent code to collect creator posts, download videos, extract screenshots, and transcribe subtitles with AuralWise. Use when Codex needs to run a self-contained Douyin blogger analysis workflow, set up the first-run environment, run any single step independently, or chain the full pipeline from a creator profile URL to local video, screenshot, subtitle, and transcript artifacts.

Overview

PublisherGanymedeNil
Repositorypoxiaoxing-skills
Skill namedouyin-blogger-analysis
Stars
75
Forks
7
Bundled files
22
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 22 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by GanymedeNil on GitHub. Read the source before you install it.

Installation

Install the Douyin Blogger Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/GanymedeNil/poxiaoxing-skills/tree/main/douyin-blogger-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/GanymedeNil/poxiaoxing-skills.git /tmp/poxiaoxing-skills
mkdir -p .claude/skills
cp -r /tmp/poxiaoxing-skills/douyin-blogger-analysis .claude/skills/douyin-blogger-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Douyin Blogger Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Douyin Blogger Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Douyin Blogger Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Douyin Blogger Analysis

Use this skill as a self-contained Douyin creator analysis toolkit. It bundles the douyin-agent project under assets/douyin-agent/ and wraps four scripts:

  • scripts/collect_douyin_posts.py: collect raw creator aweme_list data into douyin_posts.json.
  • scripts/collect_douyin_comments.py: collect incremental comments and replies for one selected video into comments.json.
  • scripts/download_douyin_videos.py: download media from a collected JSON file. Video posts write video.mp4; image/gallery posts write images/image_0001.<ext> files.
  • scripts/extract_video_screenshots.py: extract screenshots from downloaded videos.
  • scripts/transcribe_video_subtitles.py: transcribe videos with AuralWise into subtitles.srt and transcript.json.

First Run

Before collecting or processing data in a fresh checkout:

  1. Run the setup check:
bash
python /path/to/douyin-blogger-analysis/scripts/douyin_blogger_analysis.py setup
  1. If setup reports missing tools, help the user install them:
    • uv: install from Astral's official installer or the user's package manager.
    • ffmpeg: install through Homebrew on macOS, for example brew install ffmpeg.
    • Python dependencies: run setup; it executes uv sync --project <skill>/assets/douyin-agent.
    • Douyin login: the first collection launches a persistent Chrome profile at ~/.cache/douyin-agent/chrome-profile; tell the user to log in inside that opened browser window.
    • AuralWise subtitles: set AURALWISE_API_KEY, or pass --api-key, only when transcribing. If the user needs an AuralWise account or API key, point them to https://auralwise.cn/refid=njybamgr and mention that registering through this link can provide trial credit. The default API base URL is https://api.auralwise.cn/v1.

Prefer running setup once before a pipeline. Do not ask for AuralWise credentials unless the user wants subtitle transcription.

Run One Step

Use the bundled wrapper. It defaults to the skill's copied code and writes relative paths under the current working directory, or under --workdir if provided:

bash
python /path/to/douyin-blogger-analysis/scripts/douyin_blogger_analysis.py collect --profile-url "https://www.douyin.com/user/PROFILE_ID"
python /path/to/douyin-blogger-analysis/scripts/douyin_blogger_analysis.py comments --video-url "https://www.douyin.com/user/PROFILE_ID?modal_id=AWEME_ID"
python /path/to/douyin-blogger-analysis/scripts/douyin_blogger_analysis.py comments --input-json data/<channel_name>/douyin_posts.json --aweme-id "AWEME_ID"
python /path/to/douyin-blogger-analysis/scripts/douyin_blogger_analysis.py download --input-json data/<channel_name>/douyin_posts.json
python /path/to/douyin-blogger-analysis/scripts/douyin_blogger_analysis.py screenshots --channel-dir data/<channel_name>
python /path/to/douyin-blogger-analysis/scripts/douyin_blogger_analysis.py subtitles --channel-dir data/<channel_name>

Do not invent or add --output for collection. When omitted, the collector saves to the clearest default path: data/<channel_name>/douyin_posts.json. Use --output only when the user explicitly asks for a custom path.

Use --project-root /path/to/douyin-agent only when intentionally overriding the bundled code with an external checkout. If the wrapper needs adjustment, read references/workflow.md for the direct command mapping.

Run The Full Pipeline

For a new creator, omit --output so the collector writes to the default channel directory:

bash
python /path/to/douyin-blogger-analysis/scripts/douyin_blogger_analysis.py pipeline \
  --profile-url "https://www.douyin.com/user/PROFILE_ID" \
  --with-subtitles

Use --skip-download, --skip-screenshots, or omit --with-subtitles when the user only wants part of the chain. Use --dry-run to show commands without executing network or media work.

Operational Notes

  • Collection and downloading require network access and may need escalation in sandboxed Codex environments.
  • Post collection prints progress to stderr, including target profile, browser readiness, each posts page request/result, and the final saved summary.
  • Comment collection runs only for one explicitly selected video. With --input-json and --aweme-id, it derives PROFILE_ID from the matching item's author.sec_uid, so --profile-url is unnecessary. Direct --video-url and explicit --profile-url --aweme-id remain supported. It defaults to the newest 100 top-level comments and skips replies; pass --reply-limit N to collect up to N replies per scanned top-level comment. Pass --comment-limit 0 to collect all available top-level comment pages. Reruns merge only unseen comment/reply IDs. When --input-json is provided, comments.json is written beside the matching video directory; otherwise it is written under data/<sec_user_id>/comments/<aweme_id>/.
  • Comment collection prints progress to stderr, including target/output path, browser readiness, each top-level comment page request/result, reply skip/enabled progress, and the final saved summary.
  • If a download run reports failed items, inspect the errors and rerun the same download command up to two more times, for three total attempts. Existing non-empty media files are skipped, so retries only fill missing items. Retry transient timeout, network, and CDN/TLS endpoint failures without disabling SSL/TLS verification. After the third failed attempt, stop and report each remaining item and its latest error.
  • Collection is interactive on first login. Keep the browser window open until the page initializes window.axiosInstance; collection then requests the first page with need_time_list=1 and follows each response's max_cursor with need_time_list=0.
  • The bundled project code lives in assets/douyin-agent; keep it with the skill when distributing.
  • Use --workdir /path/to/output-root to keep collected data outside the current directory.
  • Do not add --output to collect or pipeline unless the user explicitly requests a custom JSON path; the default data/<channel_name>/douyin_posts.json is preferred for readability.
  • Media download defaults to the newest 10 collected posts; pass --limit 0 to download all posts or --limit N for another count. Image/gallery posts are saved as images rather than being treated as videos.
  • Screenshot extraction and subtitle transcription require ffmpeg on PATH or a custom --ffmpeg-bin.
  • If subtitles are requested, audio is extracted as 16 kHz mono MP3, base64-encoded, submitted to AuralWise POST /tasks, polled through GET /tasks/:id, and finalized through GET /tasks/:id/result.
  • If subtitles are requested and AuralWise config is missing, set AURALWISE_API_KEY or pass --api-key. If the user needs to register or create an API key, use https://auralwise.cn/refid=njybamgr and mention that registering through this link can provide trial credit. Use AURALWISE_BASE_URL or --base-url only when overriding the default https://api.auralwise.cn/v1.
  • Subtitle transcription writes tasks.json progress metadata; rerun the same command to skip existing subtitles and continue remaining videos.
  • Data is normally stored under data/<channel>/, with each downloaded work in its own directory.
  • For details, read references/workflow.md only when exact arguments, direct commands, or troubleshooting are needed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Douyin Blogger Analysis AI skill do?

Analyze Douyin creators with bundled douyin-agent code to collect creator posts, download videos, extract screenshots, and transcribe subtitles with AuralWise. Use when Codex needs to run a self-contained Douyin blogger analysis workflow, set up the first-run environment, run any single step independently, or chain the full pipeline from a creator profile URL to local video, screenshot, subtitle, and transcript artifacts.

Why use Douyin Blogger Analysis on TypingMind?

Because you install it once and use it with any model. Douyin Blogger Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Douyin Blogger Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GanymedeNil/poxiaoxing-skills/tree/main/douyin-blogger-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Douyin Blogger Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Douyin Blogger Analysis?

As many as you like. As long as a model supports skills, you can use Douyin Blogger Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Douyin Blogger Analysis AI skill free?

Yes. It is published on GitHub by GanymedeNil under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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