Audit Flow
zebbern/claude-code-guide
Interactive system flow tracing across CODE, API, AUTH, DATA, NETWORK layers with SQLite persistence and Mermaid export.
When the user wants to analyze a YouTube video's performance, review retention data, diagnose low CTR, or understand why a video underperformed or overperformed.
Install Video Analysis
$ npx skills add TheCraigHewitt/skills --skill video-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TheCraigHewitt/skills video-analysis --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/TheCraigHewitt/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/youtube/video-analysis .claude/skills/video-analysis && 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-analysis" agent skill from https://github.com/TheCraigHewitt/skills/tree/main/youtube/video-analysis into .claude/skills/video-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analysis", 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/TheCraigHewitt/skills/tree/main/youtube/video-analysisType 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 TheCraigHewitt/skills --skill video-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TheCraigHewitt/skills video-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheCraigHewitt/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/youtube/video-analysis .agents/skills/video-analysis && 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-analysis" agent skill from https://github.com/TheCraigHewitt/skills/tree/main/youtube/video-analysis into .agents/skills/video-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analysis", 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 TheCraigHewitt/skills --skill video-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TheCraigHewitt/skills video-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheCraigHewitt/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/youtube/video-analysis .cursor/skills/video-analysis && 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-analysis" agent skill from https://github.com/TheCraigHewitt/skills/tree/main/youtube/video-analysis into .cursor/skills/video-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analysis", 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/TheCraigHewitt/skills.git --path youtube/video-analysis--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 TheCraigHewitt/skills --skill video-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TheCraigHewitt/skills video-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheCraigHewitt/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/youtube/video-analysis .gemini/skills/video-analysis && 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-analysis" agent skill from https://github.com/TheCraigHewitt/skills/tree/main/youtube/video-analysis into .gemini/skills/video-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analysis", 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 TheCraigHewitt/skills video-analysisInstalls 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 TheCraigHewitt/skills --skill video-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TheCraigHewitt/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/youtube/video-analysis .github/skills/video-analysis && 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-analysis" agent skill from https://github.com/TheCraigHewitt/skills/tree/main/youtube/video-analysis into .github/skills/video-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analysis", 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 TheCraigHewitt/skills --skill video-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TheCraigHewitt/skills video-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheCraigHewitt/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/youtube/video-analysis .opencode/skills/video-analysis && 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-analysis" agent skill from https://github.com/TheCraigHewitt/skills/tree/main/youtube/video-analysis into .opencode/skills/video-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analysis", 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-analysis- GitHub stars
- 159
- Token cost
- ~2.4k tokens
- SKILL.md length
- 1,124 words
- Files
- 1
- Skills in repo
- 65
- Repo updated
- First seen
- Licence
- MIT
At a glance
When the user wants to analyze a YouTube video's performance, review retention data, diagnose low CTR, or understand why a video underperformed or overperformed.
- Works in 5 steps: Metric Snapshot → Compare to Benchmarks → Diagnose → …
- Wants to analyze a YouTube videos performance
- SKILL.md covers Before Starting, Context Questions, Core Principles and Metrics Framework, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Video Analysis is an agent skill from TheCraigHewitt/skills. When the user wants to analyze a YouTube video's performance, review retention data, diagnose low CTR, or understand why a video underperformed or overperformed. Also use when the user says 'analyze this video,' 'review my video performance,' 'why did this video fail,' 'why did this video work,' 'retention analysis,' 'CTR analysis,' 'video post-mortem,' 'what should I learn from this video.' For full channel health check, see channel-audit. For improving future ideas based on learnings, see idea-generation.
Its SKILL.md is about 2.4k 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 Business, Finance & HR, covering Runbooks and postmortems, Product analytics and Brainstorming. It works with YouTube. The repository describes itself as: AI skills for founders, sales teams, and creators. 47 skills across CEO, Sales, YouTube, and General categories. Works with Claude Code, Cursor, Codex, and any agent that reads… The licence is MIT.
When your agent uses it
- Wants to analyze a YouTube videos performance
- Review retention data
- Diagnose low CTR
- Understand why a video underperformed
Example prompts
- “analyze this video,”
- “review my video performance,”
- “why did this video fail,”
- “/video-analysis”
Workflow steps
5 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 fdbf39b. 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 (its code samples are markdown).
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 Analysis loads about 2.4k tokens when it runs. Until then it costs about 132 tokens; SKILL.md has 1,124 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 TheCraigHewitt/skills at commit fdbf39b, republished under its MIT licence (© TheCraigHewitt). 1,124 words, ~2,401 tokens.
Download SKILL.mdSave it as
.claude/skills/video-analysis/SKILL.md (or your agent's skills folder).- name
- video-analysis
- description
- When the user wants to analyze a YouTube video's performance, review retention data, diagnose low CTR, or understand why a video underperformed or overperformed. Also use when the user says 'analyze this video,' 'review my video performance,' 'why did this video fail,' 'why did this video work,' 'retention analysis,' 'CTR analysis,' 'video post-mortem,' 'what should I learn from this video.' For full channel health check, see channel-audit. For improving future ideas based on learnings, see idea-generation.
- metadata.version
- 1.0.0
Video Analysis
You are a YouTube analytics strategist who has analyzed thousands of videos across channels from 5K to 500K+ subscribers. You know that the difference between channels that grow and channels that stall is not talent or production value -- it's whether creators learn from their data. Every video teaches you something about your audience, your packaging, and your content. Your job is to extract those lessons systematically, not just glance at the view count and move on.
Before Starting
Check if .agents/youtube-context.md exists in the project root.
- If it exists: Read it. Compare the video's performance against the channel's goals and benchmarks.
- If it doesn't exist: Ask for the channel's average views, CTR, and retention. Context is essential for analysis. Recommend running
youtube-contextfirst.
Context Questions
- What video are you analyzing? (Title, topic, publish date.)
- Share the key metrics: views, CTR, average view duration, retention curve shape.
- How does this compare to your channel average? (Above, below, or typical.)
- What was the title and thumbnail? (Share or describe them.)
- What's the goal of this analysis? (Understand what worked, diagnose what failed, or extract lessons for future content.)
Core Principles
- One metric doesn't tell the story. Views alone are meaningless. CTR + retention + traffic source = the full picture. Always analyze metrics in combination, never in isolation.
- Compare to YOUR benchmarks, not industry averages. A 5% CTR might be great for one channel and terrible for another. Always compare to the channel's own recent average.
- Ask "why" before "what." Before you look at what the numbers are, ask why. A video with 2x the views might have gotten a browse feature. A video with half the views might have had a bad title. The "why" matters more than the "what."
- Outperformers teach more than underperformers. Creators obsess over why videos fail. The more valuable question is: why did this video succeed? What can you repeat? What was different?
- Small sample = noise. Don't draw conclusions from 1 video. Look for patterns across 5-10 videos before making strategic changes.
- Retention curve shape matters more than average. A video with 45% average retention that holds flat is healthier than a video with 50% average retention that has a cliff at the 3-minute mark.
Metrics Framework
The Big 4 Metrics
| Metric | What It Tells You | Benchmark (vary by channel) |
|---|---|---|
| Click-Through Rate (CTR) | How well the title + thumbnail convert impressions to views | 4-10% is typical; your channel average is the real benchmark |
| Average View Duration (AVD) | How long viewers watch | Higher = better; compare to video length for % retention |
| Average Percentage Viewed (APV) | What % of the video people watch | 40-60% is solid for 8-15 min videos |
| Impressions | How many times YouTube showed the thumbnail | Driven by topic interest + CTR + retention feedback loop |
Traffic Source Analysis
| Traffic Source | What It Means | Implication |
|---|---|---|
| Browse features | YouTube recommended your video on the home page | Algorithm thinks the video is engaging -- CTR and retention are strong |
| Suggested videos | Appeared alongside another video | Related content is working -- check which videos you're being suggested next to |
| YouTube search | Found via search | SEO is working -- check which keywords drove traffic |
| External | Social media, email, websites | Your off-platform promotion is driving views |
| Channel pages | Found on your channel page | Packaging is working -- title/thumbnail caught someone browsing your channel |
| Notification | Subscribers got notified | Subscriber base is engaged |
The Feedback Loop
Impressions → CTR → Views → Retention → More Impressions → ...YouTube gives your video a pool of impressions. If CTR is high, you get more. If retention is high on those views, you get even more. If either drops below threshold, impressions slow down. Both CTR and retention must work.
Retention Curve Analysis
How to Read a Retention Curve
The retention curve is the single most important analytics view. It shows, second by second, what percentage of viewers are still watching.
Healthy curve: Gradual decline, relatively flat through the middle, slight uptick at the end (people re-watching).
Unhealthy curve: Sharp drop in first 30 seconds, steep decline throughout, or sudden cliff at a specific point.
Show full SKILL.md (455 more words)Show less
Common Retention Patterns
| Pattern | What It Looks Like | Diagnosis | Fix |
|---|---|---|---|
| The cliff | 30%+ drop at one specific point | Something at that timestamp killed interest | Identify the moment -- cut or restructure it |
| The slow bleed | Steady 1-2% decline per minute | Content is "fine" but not compelling | Add retention beats every 2-3 minutes |
| Front-loaded drop | 30-40% drop in first 30 seconds | Hook doesn't match title/thumbnail | Rewrite the hook -- it must deliver on the promise immediately |
| The plateau | Flat retention for a long section | Viewers who stayed are committed | Whatever you're doing in that section, do more of it |
| The spike | Retention goes UP at a point | Something pulled viewers in | Identify the moment -- it's your best content. Repeat this format. |
| Sudden end drop | Big drop in last 30 seconds | Content felt "done" before the video ended | Trim the ending or move CTA earlier |
Analysis Process
Step 1: Metric Snapshot
Collect the raw numbers:
- Views (total and first 48 hours)
- CTR (impressions click-through rate)
- Average view duration
- Average percentage viewed
- Traffic sources (% breakdown)
- Subscriber vs. non-subscriber views
Step 2: Compare to Benchmarks
| Metric | This Video | Channel Average (last 30 days) | Delta |
|---|---|---|---|
| Views | |||
| CTR | |||
| AVD | |||
| APV |
Step 3: Diagnose
Based on the deltas:
High CTR + Low Retention: Title/thumbnail promise was compelling, but the content didn't deliver. The click was good; the content needs work.
Low CTR + High Retention: Content is great for those who watched, but the packaging doesn't attract clicks. Repackage -- better title, better thumbnail.
Low CTR + Low Retention: Both packaging and content missed. Analyze the title, thumbnail, hook, and content separately.
High CTR + High Retention: Winner. Figure out why and repeat the pattern.
Step 4: Retention Curve Deep Dive
Identify:
- Where the biggest drops happen (exact timestamps)
- What was happening in the video at those timestamps
- Where retention is surprisingly flat or rising
- How the first 30 seconds compare to the channel average
Step 5: Extract Lessons
For every analysis, produce 3 actionable takeaways:
- Repeat: What worked that should be done again
- Fix: What didn't work and how to improve it
- Test: One hypothesis to test in the next video
Output Format
## Video Analysis: "[Video Title]"
### Performance Snapshot
| Metric | Value | vs. Channel Average |
|--------|-------|-------------------|
| Views | [X] | [+/-X%] |
| CTR | [X%] | [+/-X%] |
| Avg View Duration | [X:XX] | [+/-X%] |
| Avg % Viewed | [X%] | [+/-X%] |
### Traffic Sources
[Top 3 traffic sources with % breakdown]
### Retention Curve Analysis
[Describe the curve shape and key moments]
- [Timestamp]: [What happened + what was in the video]
- [Timestamp]: [What happened + what was in the video]
### Diagnosis
[2-3 sentences on what drove the performance — good or bad]
### Packaging Review
- **Title:** [Worked / Didn't work + why]
- **Thumbnail:** [Worked / Didn't work + why]
- **Hook (first 30 sec):** [Worked / Didn't work + why]
### Actionable Takeaways
1. **Repeat:** [What worked]
2. **Fix:** [What to improve]
3. **Test:** [Hypothesis for next video]Batch Analysis (Multiple Videos)
When analyzing 5+ videos, look for patterns:
- Which pillar gets the highest CTR?
- Which video length has the best retention?
- What title archetype performs best?
- Which hook formula drives the highest 30-second retention?
- What traffic source is growing/declining?
Present patterns in a summary table, not individual video analysis.
Related Skills
- idea-generation -- Feed analysis insights back into ideation. Repeat what works.
- title-craft -- CTR analysis directly informs title strategy.
- thumbnail-design -- CTR analysis directly informs thumbnail strategy.
- hook-writing -- 30-second retention data informs hook effectiveness.
- channel-audit -- For a full channel health check across all videos.
- retention-editing -- Retention curve analysis informs editing decisions.
© TheCraigHewitt, 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 youtube/video-analysis of TheCraigHewitt/skills.
Open the folder on GitHubat commit fdbf39b
Compare with similar skills
Video Analysis 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 Analysis this skillTheCraigHewitt/skills | 159 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Audit Flowzebbern/claude-code-guide | 4.7k | — | ~4.2k | Automated safety check: Pass | MIT | |
| Video Copy AnalyzerALBEDO-TABAI/video-copy-analyzer | 209 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Md2htmlhaidang1810/md2html | 420 | — | ~3k | Automated safety check: Pass | MIT | |
| Viral Titlekangarooking/kangarooking-skills | 662 | — | ~1.7k | Automated safety check: Pass | None | |
| Shortform Ideationericrisco/rsc-harness | 180 | — | ~3.1k | Automated safety check: Pass | MIT |
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Questions about Video Analysis
What does Video Analysis do?
When the user wants to analyze a YouTube video's performance, review retention data, diagnose low CTR, or understand why a video underperformed or overperformed. Video Analysis is an agent skill from TheCraigHewitt/skills. When the user wants to analyze a YouTube video's performance, review retention data, diagnose low CTR, or understand why a video underperformed or overperformed.
When should I use Video Analysis?
Video Analysis fits situations like: wants to analyze a YouTube videos performance; review retention data; diagnose low CTR; understand why a video underperformed.
How do I install Video Analysis in Claude Code?
Run `npx skills add TheCraigHewitt/skills --skill video-analysis -a claude-code`. Or copy the skill folder (youtube/video-analysis in TheCraigHewitt/skills) into .claude/skills/video-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Video Analysis in Codex?
Run `npx skills add TheCraigHewitt/skills --skill video-analysis -a codex`. Or copy the skill folder (youtube/video-analysis in TheCraigHewitt/skills) into .agents/skills/video-analysis in your project. Codex loads it when a task matches its description.
Can I use Video Analysis 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 TheCraigHewitt/skills --skill video-analysis -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-analysis, .gemini/skills/video-analysis, .github/skills/video-analysis and .opencode/skills/video-analysis in your project.
What does Video Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Video Analysis is instructions for the agent only.
Does Video Analysis 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 Analysis 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 Analysis use?
Video Analysis 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 Analysis use?
About 2.4k tokens (SKILL.md is roughly 9.6k 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 Analysis?
Skills that share tags, products or a category with Video Analysis: Audit Flow (zebbern/claude-code-guide, 4.7k stars), Video Copy Analyzer (ALBEDO-TABAI/video-copy-analyzer, 209 stars), Md2html (haidang1810/md2html, 420 stars) and Viral Title (kangarooking/kangarooking-skills, 662 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video Analysis?
TheCraigHewitt (a GitHub user) maintains it in TheCraigHewitt/skills, which has 159 GitHub stars. The repository holds 65 skills in this directory. The repository was last updated on May 22, 2026.
Source: TheCraigHewitt/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.