dedao-dl Download Assistant
yann0917/dedao-dl
Operates the dedao-dl command-line downloader for Dedao courses, audiobooks and ebooks, with login, search, download formats and troubleshooting.
Extract key frames from MP4 videos at configurable intervals, run Tesseract OCR, and generate structured Markdown reports with video metadata and timestamped text transcripts.
Install Video Content Extractor
$ npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills video-content-extractor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-content-extractor .claude/skills/video-content-extractor && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-content-extractor" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/video-content-extractor into .claude/skills/video-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-content-extractor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/video-content-extractorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills video-content-extractor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video-content-extractor .agents/skills/video-content-extractor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-content-extractor" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/video-content-extractor into .agents/skills/video-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-content-extractor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills video-content-extractor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video-content-extractor .cursor/skills/video-content-extractor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-content-extractor" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/video-content-extractor into .cursor/skills/video-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-content-extractor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/video-content-extractor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills video-content-extractor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video-content-extractor .gemini/skills/video-content-extractor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-content-extractor" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/video-content-extractor into .gemini/skills/video-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-content-extractor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills video-content-extractorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video-content-extractor .github/skills/video-content-extractor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-content-extractor" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/video-content-extractor into .github/skills/video-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-content-extractor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills video-content-extractor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video-content-extractor .opencode/skills/video-content-extractor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-content-extractor" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/video-content-extractor into .opencode/skills/video-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-content-extractor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
video-content-extractor- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1k tokens
- SKILL.md length
- 506 words
- Files
- 1
- Skills in repo
- 1,493
- Repo updated
- First seen
- Licence
- MIT
At a glance
Extract key frames from MP4 videos at configurable intervals, run Tesseract OCR, and generate structured Markdown reports with video metadata and timestamped text transcripts.
- Works in 4 steps: Analyze Video Metadata → Extract Key Frames → OCR Text Recognition → …
- Tasks that involve Markdown
- SKILL.md covers Overview, When to Use This Skill, How It Works and Examples, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Video Content Extractor is an agent skill from sickn33/agentic-awesome-skills. Extract key frames from MP4 videos at configurable intervals, run Tesseract OCR, and generate structured Markdown reports with video metadata and timestamped text transcripts.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering Markdown. It works with FFmpeg. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Tasks that involve Markdown
Example prompts
- “/video-content-extractor”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Video Content Extractor loads about 1k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 506 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 506 words, ~1,038 tokens.
Download SKILL.mdSave it as
.claude/skills/video-content-extractor/SKILL.md (or your agent's skills folder).- name
- video-content-extractor
- description
- Extract key frames from MP4 videos at configurable intervals, run Tesseract OCR, and generate structured Markdown reports with video metadata and timestamped text transcripts.
- category
- media-processing
- risk
- safe
- source
- community
- source_repo
- 274326424/video-content-extractor
- source_type
- community
- date_added
- 2026-06-06
- author
- 274326424
- tags
- video, ocr, ffmpeg, tesseract, frame-extraction, media
- tools
- codex
Video Content Extractor
Overview
Automatically extracts key frames from MP4 video files at configurable time intervals, performs OCR text recognition on each frame, and generates a structured Markdown report. The report includes video metadata (duration, resolution, codecs) and frame-by-frame OCR transcripts with timestamp references.
This skill is designed for Codex CLI and requires FFmpeg and Tesseract OCR installed on the local machine.
When to Use This Skill
- Use when you need to extract text content from video presentations, lectures, or screencasts.
- Use when you want to create searchable transcripts from video files without embedded subtitles.
- Use when you need to analyze video content programmatically and generate structured summaries.
- Use when the user asks to "read what is on screen" or "extract the content from this video."
How It Works
Step 1: Analyze Video Metadata
The skill uses ffprobe to extract video metadata: duration, resolution, frame rate, codec information, and file size.
Step 2: Extract Key Frames
Using FFmpeg, the skill captures frames at the configured interval (default: every 30 seconds). Each frame is saved as a timestamped JPEG image.
Step 3: OCR Text Recognition
Each extracted frame is processed by Tesseract OCR. If the default PSM mode returns no meaningful text, it falls back to fully automatic page segmentation.
Step 4: Generate Markdown Report
All extracted data is assembled into a structured Markdown document.
Examples
Example 1: Basic Extraction
Agent prompt: Use the video-content-extractor skill to extract content from lecture.mp4
Output generates lecture.md and lecture_frames/ directory.
Example 2: Custom Interval
Parameters: video_path, output_dir, interval(seconds), lang Extract every 60 seconds with English-only OCR: python scripts/extract_video.py recording.mp4 ./output 60 eng
Example 3: Bilingual Content
Extract with default Chinese + English OCR: python scripts/extract_video.py lecture.mp4 . 15 chi_sim+eng
Best Practices
- Use shorter intervals (10-15s) for fast-paced content with frequent text changes.
- Use longer intervals (30-60s) for presentation slides or slow lectures to reduce duplicate frames.
- For Chinese content, ensure Tesseract Chinese language pack is installed (chi_sim).
Show full SKILL.md (185 more words)Show less
Limitations
- Requires FFmpeg and Tesseract OCR to be installed and accessible via PATH.
- Tesseract OCR accuracy depends on video quality, text size, and font clarity.
- Does not extract audio or perform speech-to-text transcription.
- Frame extraction is time-based (not scene-change-based), which may produce near-duplicate frames.
- Large videos with short intervals can generate many frames - ensure sufficient disk space.
Security and Safety Notes
- This skill only reads video files and writes extracted frames and Markdown reports.
- It does NOT send any data over the network - all processing is local.
- FFmpeg and Tesseract are invoked with fixed, pre-vetted arguments.
- The skill does not modify or delete the original video file.
Common Pitfalls
Problem: Tesseract returns garbled text Solution: Ensure the correct language pack is installed. Run tesseract --list-langs to verify.
Problem: FFmpeg fails with "not found" Solution: Make sure FFmpeg is on PATH. Run ffmpeg -version to verify.
Problem: OCR is slow on large videos Solution: Increase the interval parameter to reduce frames processed.
Related Skills
- @media-summarizer - For summarizing video content using visual and audio cues.
- @document-ocr - For OCR on static images or scanned documents without video processing.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/video-content-extractor of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Video Content Extractor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video Content Extractor this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1k | Automated safety check: Pass | MIT | |
| dedao-dl Download Assistantyann0917/dedao-dl | 896 | — | ~772 | Automated safety check: Pass | MIT | |
| PPT Visual Enhancement Generatoranbeime/skill | 7.7k | — | ~1.2k | Automated safety check: Notes | None | |
| Docs Page Frontmatteranam-org/metaxy | 124 | — | ~948 | Automated safety check: Pass | Apache-2.0 | |
| Mira Slide To Videosandeco/mira-animator | 218 | — | ~2k | Automated safety check: Pass | Custom licence | |
| Save Mdmblode/agent-skills | 144 | — | ~537 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Video Content Extractor
What does Video Content Extractor do?
Extract key frames from MP4 videos at configurable intervals, run Tesseract OCR, and generate structured Markdown reports with video metadata and timestamped text transcripts. Video Content Extractor is an agent skill from sickn33/agentic-awesome-skills. Extract key frames from MP4 videos at configurable intervals, run Tesseract OCR, and generate structured Markdown reports with video metadata and timestamped text transcripts.
When should I use Video Content Extractor?
Video Content Extractor fits situations like: tasks that involve Markdown.
How do I install Video Content Extractor in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor -a claude-code`. Or copy the skill folder (skills/video-content-extractor in sickn33/agentic-awesome-skills) into .claude/skills/video-content-extractor in your project. Claude Code loads it when a task matches its description.
How do I install Video Content Extractor in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor -a codex`. Or copy the skill folder (skills/video-content-extractor in sickn33/agentic-awesome-skills) into .agents/skills/video-content-extractor in your project. Codex loads it when a task matches its description.
Can I use Video Content Extractor in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-content-extractor, .gemini/skills/video-content-extractor, .github/skills/video-content-extractor and .opencode/skills/video-content-extractor in your project.
What does Video Content Extractor need to run?
SKILL.md names no scripts, command-line tools or credentials: Video Content Extractor is instructions for the agent only. Our summary lists: Python 3.
Does Video Content Extractor access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Video Content Extractor safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Video Content Extractor use?
Video Content Extractor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Video Content Extractor use?
About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Video Content Extractor?
Skills that share tags, products or a category with Video Content Extractor: dedao-dl Download Assistant (yann0917/dedao-dl, 896 stars), PPT Visual Enhancement Generator (anbeime/skill, 7.7k stars), Docs Page Frontmatter (anam-org/metaxy, 124 stars) and Mira Slide To Video (sandeco/mira-animator, 218 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video Content Extractor?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.