Video Transcribe
wendy7756/AI-Video-Transcriber
Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.
Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally.
Install Transcribe And Analyze
$ npx skills add nicepkg/ai-workflow --skill transcribe-and-analyze -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nicepkg/ai-workflow transcribe-and-analyze --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/nicepkg/ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze .claude/skills/transcribe-and-analyze && 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 "transcribe-and-analyze" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze into .claude/skills/transcribe-and-analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transcribe-and-analyze", 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/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyzeType 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 nicepkg/ai-workflow --skill transcribe-and-analyze -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nicepkg/ai-workflow transcribe-and-analyze --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze .agents/skills/transcribe-and-analyze && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "transcribe-and-analyze" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze into .agents/skills/transcribe-and-analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transcribe-and-analyze", 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 nicepkg/ai-workflow --skill transcribe-and-analyze -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nicepkg/ai-workflow transcribe-and-analyze --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze .cursor/skills/transcribe-and-analyze && 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 "transcribe-and-analyze" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze into .cursor/skills/transcribe-and-analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transcribe-and-analyze", 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/nicepkg/ai-workflow.git --path workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze--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 nicepkg/ai-workflow --skill transcribe-and-analyze -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nicepkg/ai-workflow transcribe-and-analyze --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze .gemini/skills/transcribe-and-analyze && 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 "transcribe-and-analyze" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze into .gemini/skills/transcribe-and-analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transcribe-and-analyze", 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 nicepkg/ai-workflow transcribe-and-analyzeInstalls 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 nicepkg/ai-workflow --skill transcribe-and-analyze -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze .github/skills/transcribe-and-analyze && 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 "transcribe-and-analyze" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze into .github/skills/transcribe-and-analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transcribe-and-analyze", 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 nicepkg/ai-workflow --skill transcribe-and-analyze -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nicepkg/ai-workflow transcribe-and-analyze --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze .opencode/skills/transcribe-and-analyze && 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 "transcribe-and-analyze" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze into .opencode/skills/transcribe-and-analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transcribe-and-analyze", 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
transcribe-and-analyze- GitHub stars
- 285
- Token cost
- ~1.5k tokens
- SKILL.md length
- 282 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 61
- Repo updated
- First seen
- Licence
- MIT
At a glance
Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally.
- Works in 2 steps: Transcription - Convert audio/video URLs… → Analysis - Extract insights from…
- Users provide URLs to media content and request transcription
- SKILL.md covers Capabilities, Quick Start, Transcription and Analysis, plus 3 more sections
- Runs Python scripts from its folder; calls python3, pip and brew; reaches youtube.com; needs OPENAI_API_KEY
What it does
Transcribe And Analyze is an agent skill from nicepkg/ai-workflow. Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally. Optionally analyze transcripts with AI when explicitly requested. Use when users provide URLs to media content and request transcription or speech-to-text conversion.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/configuration.md`, `references/troubleshooting.md` and `references/usage-patterns.md`).
It sits in Media & Creative, covering Transcription. It works with OpenAI, YouTube and Ollama. The repository describes itself as: 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading… The licence is MIT.
When your agent uses it
- Users provide URLs to media content and request transcription
- Speech-to-text conversion
Example prompts
- “/transcribe-and-analyze”
Requirements
- Python 3
- A credential in OPENAI_API_KEY
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Transcription - Convert audio/video URLs to text using WhisperKit (runs locally, always available)
- Analysis - Extract insights from transcripts (only when user asks for it, supports OpenAI or Ollama)
What it can do on your machine
Read from SKILL.md and the folder at commit d167b41. 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
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pipbrewollama
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
youtube.com
Also links to:
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Transcribe And Analyze loads about 1.5k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 282 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); the scripts in this folder are not scanned.
SKILL.md
The full file from nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 282 words, ~1,542 tokens.
Download SKILL.mdSave it as
.claude/skills/transcribe-and-analyze/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- transcribe-and-analyze
- description
- Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally. Optionally analyze transcripts with AI when explicitly requested. Use when users provide URLs to media content and request transcription or speech-to-text conversion.
Transcribe and Analyze
Local transcription of audio/video content using WhisperKit. Analysis is available on request using OpenAI or local Ollama.
Capabilities
- Transcription - Convert audio/video URLs to text using WhisperKit (runs locally, always available)
- Analysis - Extract insights from transcripts (only when user asks for it, supports OpenAI or Ollama)
Quick Start
Transcribe Only
python3 scripts/transcribe.py "https://youtube.com/watch?v=..."Transcribe + Analyze (OpenAI)
python3 scripts/transcribe.py "https://youtube.com/watch?v=..."
python3 scripts/analyze_transcript.py whisper-transcriptions/video.mdTranscribe + Analyze (Local)
python3 scripts/transcribe.py "https://youtube.com/watch?v=..."
python3 scripts/analyze_transcript.py whisper-transcriptions/video.md --localTranscription
Script Options
# Basic
python3 scripts/transcribe.py "URL"
# Custom output directory
python3 scripts/transcribe.py "URL" --output-dir "/path/to/save"
# Higher accuracy (slower)
python3 scripts/transcribe.py "URL" --model medium
# Without timestamps
python3 scripts/transcribe.py "URL" --no-timestamps
# Custom filename
python3 scripts/transcribe.py "URL" --filename "my-transcription.md"Whisper Models
| Model | Speed | Accuracy | Use Case |
|---|---|---|---|
tiny | Fastest | Lowest | Quick drafts, testing |
base | Fast | Reasonable | Simple content |
small | Balanced | Good | Default - most use cases |
medium | Slower | High | Lectures, important content |
large | Slowest | Highest | Critical accuracy needed |
Dependencies
- yt-dlp -
pip install yt-dlporbrew install yt-dlp - whisperkit-cli - https://github.com/argmaxinc/WhisperKit
Script checks for these and provides install instructions if missing.
Output
Transcriptions save to ./whisper-transcriptions/ as markdown:
# Transcription
**Source:** https://youtube.com/watch?v=example
**Transcribed:** 2025-01-15 14:30:00
**Tool:** WhisperKit
---
[00:00:00.000 --> 00:00:05.000] Welcome to this video...Analysis
Provider Options
OpenAI API (default):
python3 scripts/analyze_transcript.py transcript.md
python3 scripts/analyze_transcript.py transcript.md --model gpt-4oRequires OPENAI_API_KEY environment variable.
Local Ollama:
python3 scripts/analyze_transcript.py transcript.md --local
python3 scripts/analyze_transcript.py transcript.md --local --model mistralRequires Ollama running (ollama serve).
Script Options
# Default comprehensive analysis (OpenAI)
python3 scripts/analyze_transcript.py transcript.md
# Use local Ollama
python3 scripts/analyze_transcript.py transcript.md --local
# Specify model
python3 scripts/analyze_transcript.py transcript.md --model gpt-4o
python3 scripts/analyze_transcript.py transcript.md --local --model llama3.2
# Custom analysis prompt
python3 scripts/analyze_transcript.py transcript.md --prompt "List all tools mentioned"
# Custom output location
python3 scripts/analyze_transcript.py transcript.md --output ~/Documents/analysis.md
# Print to stdout instead of saving
python3 scripts/analyze_transcript.py transcript.md --printDefault Analysis Includes
- Executive summary (2-3 paragraphs)
- Key insights (5-7 bullet points)
- Topics discussed with summaries
- Notable quotes (3-5 memorable quotes)
- Action items and recommendations
- Additional observations
Custom Prompt Examples
--prompt "List all technologies and tools mentioned"
--prompt "What are the main arguments presented?"
--prompt "Extract all statistics and data points"
--prompt "Summarize in 5 bullet points"
--prompt "What questions were asked and how were they answered?"Dependencies
- openai -
pip install openai(used for both OpenAI and Ollama) - OPENAI_API_KEY environment variable (for OpenAI only)
- Ollama running locally (for --local mode)
Output
Analysis saves alongside transcript as transcript_name_analysis.md:
# Transcript Analysis
**Source Transcript:** path/to/transcript.md
**Analysis Model:** gpt-4o-mini (OpenAI)
**Tokens Used:** 33,763
---
[Analysis content]Common Workflows
Full Pipeline: URL to Insights (Cloud)
python3 scripts/transcribe.py "https://youtube.com/watch?v=abc123"
python3 scripts/analyze_transcript.py whisper-transcriptions/watch.mdFull Pipeline: URL to Insights (Local)
python3 scripts/transcribe.py "https://youtube.com/watch?v=abc123"
python3 scripts/analyze_transcript.py whisper-transcriptions/watch.md --localMultiple Analyses on Same Transcript
python3 scripts/analyze_transcript.py transcript.md --output summary.md
python3 scripts/analyze_transcript.py transcript.md --prompt "List action items" --output actions.md
python3 scripts/analyze_transcript.py transcript.md --prompt "Extract quotes" --output quotes.mdBatch Transcription
python3 scripts/transcribe.py "URL1"
python3 scripts/transcribe.py "URL2"
python3 scripts/transcribe.py "URL3"Reference Files
Troubleshooting (references/troubleshooting.md)
- Download failures
- Transcription errors
- Dependency issues
- API errors
Configuration (references/configuration.md)
- Output format details
- File naming behavior
- Model selection guidance
Usage Patterns (references/usage-patterns.md)
- Common transcription scenarios
- Analysis patterns
- Batch processing tips
Scripts
| Script | Purpose |
|---|---|
scripts/transcribe.py | Download and transcribe audio/video from URLs (WhisperKit) |
scripts/analyze_transcript.py | AI analysis of transcript files (OpenAI or Ollama) |
© nicepkg, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts, references) in workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze of nicepkg/ai-workflow.
- SKILL.md
- references/configuration.md
- references/troubleshooting.md
- references/usage-patterns.md
- scripts/analyze_transcript.py
- scripts/transcribe.py
Open the folder on GitHubat commit d167b41
Compare with similar skills
Transcribe And Analyze 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 |
|---|---|---|---|---|---|---|
| Transcribe And Analyze this skillnicepkg/ai-workflow | 285 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Video Transcribewendy7756/AI-Video-Transcriber | 3.3k | — | ~937 | Automated safety check: Notes | Apache-2.0 | |
| Local AI App Integrationamd/skills | 398 | — | ~6k | Automated safety check: Pass | MIT | |
| Video SummaryLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.2k | Automated safety check: Pass | MIT | |
| Youtube SummarizerBrianRWagner/ai-marketing-claude-code-skills | 440 | 2 repos | ~3.8k | Automated safety check: Pass | None | |
| Ag2 Multimodal Inputag2ai/build-with-ag2 | 252 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Local AI App Integration
amd/skills
Integrates local AI capabilities into applications using Embeddable Lemonade.
Video Summary
LeoYeAI/openclaw-master-skills
Video summarization for Bilibili, Xiaohongshu, Douyin, and YouTube.
Youtube Summarizer
BrianRWagner/ai-marketing-claude-code-skills
Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms.
Ag2 Multimodal Input
ag2ai/build-with-ag2
Send images, audio, video, or documents into an AG2 beta Agent alongside text.
Bibi
JimmyLv/BibiGPT-v1
BibiGPT CLI for summarizing videos, audio, and podcasts directly in the terminal.
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Related
Categories
Questions about Transcribe And Analyze
What does Transcribe And Analyze do?
Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally. Transcribe And Analyze is an agent skill from nicepkg/ai-workflow. Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally.
When should I use Transcribe And Analyze?
Transcribe And Analyze fits situations like: users provide URLs to media content and request transcription; speech-to-text conversion.
How do I install Transcribe And Analyze in Claude Code?
Run `npx skills add nicepkg/ai-workflow --skill transcribe-and-analyze -a claude-code`. Or copy the skill folder (workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze in nicepkg/ai-workflow) into .claude/skills/transcribe-and-analyze in your project. Claude Code loads it when a task matches its description.
How do I install Transcribe And Analyze in Codex?
Run `npx skills add nicepkg/ai-workflow --skill transcribe-and-analyze -a codex`. Or copy the skill folder (workflows/video-creator-workflow/.claude/skills/transcribe-and-analyze in nicepkg/ai-workflow) into .agents/skills/transcribe-and-analyze in your project. Codex loads it when a task matches its description.
Can I use Transcribe And Analyze 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 nicepkg/ai-workflow --skill transcribe-and-analyze -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/transcribe-and-analyze, .gemini/skills/transcribe-and-analyze, .github/skills/transcribe-and-analyze and .opencode/skills/transcribe-and-analyze in your project.
What does Transcribe And Analyze need to run?
Going by SKILL.md and its folder, Transcribe And Analyze needs Python for the scripts in its folder, the command-line tools its instructions call (python3, pip, brew and ollama) and credentials named OPENAI_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY.
Does Transcribe And Analyze access the network?
SKILL.md names 2 domains. In commands or code: youtube.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.
Is Transcribe And Analyze 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Transcribe And Analyze use?
Transcribe And Analyze 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 Transcribe And Analyze use?
About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.
What are the alternatives to Transcribe And Analyze?
Skills that share tags, products or a category with Transcribe And Analyze: Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars), Local AI App Integration (amd/skills, 398 stars), Video Summary (LeoYeAI/openclaw-master-skills, 2.2k stars) and Youtube Summarizer (BrianRWagner/ai-marketing-claude-code-skills, 440 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Transcribe And Analyze?
nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on January 20, 2026.
Source: nicepkg/ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.