Paid Ads Audit
AgriciDaniel/claude-ads
Runs a source-grounded paid advertising audit across up to 12 ad platforms, with parallel platform workers, deterministic scoring and a versioned JSON bundle.
Interpret YouTube Analytics, TikTok Analytics, and video performance data.
$ npx skills add nicepkg/ai-workflow --skill video-analytics-interpreter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nicepkg/ai-workflow video-analytics-interpreter --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/video-analytics-interpreter .claude/skills/video-analytics-interpreter && 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-analytics-interpreter" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-analytics-interpreter into .claude/skills/video-analytics-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analytics-interpreter", 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/video-analytics-interpreterType 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 video-analytics-interpreter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nicepkg/ai-workflow video-analytics-interpreter --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/video-analytics-interpreter .agents/skills/video-analytics-interpreter && 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-analytics-interpreter" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-analytics-interpreter into .agents/skills/video-analytics-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analytics-interpreter", 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 video-analytics-interpreter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nicepkg/ai-workflow video-analytics-interpreter --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/video-analytics-interpreter .cursor/skills/video-analytics-interpreter && 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-analytics-interpreter" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-analytics-interpreter into .cursor/skills/video-analytics-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analytics-interpreter", 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/video-analytics-interpreter--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 video-analytics-interpreter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nicepkg/ai-workflow video-analytics-interpreter --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/video-analytics-interpreter .gemini/skills/video-analytics-interpreter && 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-analytics-interpreter" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-analytics-interpreter into .gemini/skills/video-analytics-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analytics-interpreter", 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 video-analytics-interpreterInstalls 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 video-analytics-interpreter -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/video-analytics-interpreter .github/skills/video-analytics-interpreter && 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-analytics-interpreter" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-analytics-interpreter into .github/skills/video-analytics-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analytics-interpreter", 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 video-analytics-interpreter -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 video-analytics-interpreter --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/video-analytics-interpreter .opencode/skills/video-analytics-interpreter && 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-analytics-interpreter" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-analytics-interpreter into .opencode/skills/video-analytics-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-analytics-interpreter", 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.
video-analytics-interpreterInterpret YouTube Analytics, TikTok Analytics, and video performance data.
Video Analytics Interpreter is an agent skill from nicepkg/ai-workflow. Interpret YouTube Analytics, TikTok Analytics, and video performance data. Identifies trends, explains metrics, and provides actionable recommendations for growth. Use when analyzing video performance, understanding metrics, or optimizing channel strategy.
Its SKILL.md is about 2.3k 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 Marketing & SEO, covering Go-to-market strategy. It works with TikTok and YouTube. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d167b41. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video Analytics Interpreter loads about 2.3k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 61 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.
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.
The full file from nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 61 words, ~2,251 tokens.
.claude/skills/video-analytics-interpreter/SKILL.md (or your agent's skills folder).Transform raw video metrics into actionable growth strategies.
📊 CORE METRICS:
VIEWS
- What: Total video plays (30+ seconds or full if shorter)
- Good: Trending upward week-over-week
- Warning: Sudden drops may indicate algorithm changes
WATCH TIME
- What: Total minutes watched
- Why it matters: #1 factor for YouTube algorithm
- Good: Higher than channel average
AVERAGE VIEW DURATION (AVD)
- What: Average time viewers watch
- Benchmark: 50%+ of video length is good
- Tip: Longer videos = lower % is acceptable
CLICK-THROUGH RATE (CTR)
- What: Impressions → Clicks percentage
- Good: 4-10% (varies by content type)
- Excellent: 10%+
- Warning: <2% needs thumbnail/title work
IMPRESSIONS
- What: Times thumbnail shown to users
- Note: Higher impressions = YouTube promoting you
- Tip: CTR × Impressions = Views potential
AUDIENCE RETENTION
- What: Graph showing when viewers leave
- Key: Look for drop-off points
- Goal: Flat line is ideal, gradual decline acceptable
ENGAGEMENT RATE
- What: (Likes + Comments) / Views
- Good: 4-8%
- Excellent: 8%+📊 TIKTOK METRICS:
VIDEO VIEWS
- Includes replays and loops
- Higher than YouTube due to autoplay
AVERAGE WATCH TIME
- Critical for algorithm
- Goal: Above 100% (indicates replays)
WATCH FULL VIDEO RATE
- % who watched entire video
- Good: 30%+ for 15-30 sec videos
- Excellent: 50%+
ENGAGEMENT RATE
- (Likes + Comments + Shares) / Views
- Good: 5-10%
- Viral potential: 15%+
SHARES
- Most important engagement type
- Strong shares = algorithm boost
- Indicates "save for later" or "send to friend"
PROFILE VIEWS
- Viewers who clicked your profile
- Indicates content sparked curiosity
- Goal: 1-3% of views
FOLLOWER CONVERSION
- New followers / Profile views
- Good: 10-20%
- Tip: Pin best content, optimize bioPERFORMANCE CATEGORIES:
🚀 BREAKOUT SUCCESS (Top 10% of your content)
- Views: 3x+ your average
- CTR: Above your channel average
- Retention: Higher than similar videos
- Action: Double down, create more like this
✅ SOLID PERFORMER (Above average)
- Views: 1.5-3x your average
- CTR: At or above average
- Retention: Consistent with similar content
- Action: Note what worked, iterate
😐 AVERAGE
- Views: Near your typical numbers
- CTR: Around channel average
- Retention: Normal patterns
- Action: Test new elements
⚠️ UNDERPERFORMER (Below average)
- Views: Below your average
- CTR: Lower than normal
- Retention: Early drop-offs
- Action: Analyze what went wrong
❌ FLOP (Bottom 10%)
- Views: Significantly below average
- CTR: Much lower than normal
- Retention: Severe early drop-off
- Action: Don't delete - learn from itLOW VIEWS DIAGNOSIS:
Q1: Is CTR low?
YES → Thumbnail/title problem
NO → Algorithm not promoting (impressions issue)
Q2: Is retention low?
YES → Content/hook problem
NO → Distribution/timing issue
Q3: Low impressions but good CTR/retention?
YES → Algorithm testing phase, be patient
→ Or topic has limited search volume
DIAGNOSIS FLOWCHART:
┌─────────────────────────────────────────────────────────┐
│ Low Views? │
│ ↓ │
│ Check CTR → Low? → Fix thumbnail/title │
│ ↓ │
│ CTR OK? → Check Retention → Low? → Fix hook/content │
│ ↓ │
│ Both OK? → Check Impressions → Low? → Topic/timing issue│
│ ↓ │
│ All OK but low views? → Give it time, algorithm testing │
└─────────────────────────────────────────────────────────┘RETENTION PATTERNS:
📉 EARLY DROP (0-30 seconds)
Problem: Weak hook, misleading thumbnail/title
Fix: Stronger hook, match expectations
📉 GRADUAL DECLINE (Steady downward slope)
Normal: Expected for most videos
Optimize: Add pattern breaks every 30-60 sec
📉 CLIFF DROP (Sudden sharp decline)
Problem: Boring section, promise unfulfilled
Fix: Cut/improve that section, better pacing
📈 SPIKE (Retention increases)
Meaning: Replay/rewind point
Opportunity: Create clip from this moment
─── FLAT LINE (Stable)
Ideal: Viewers engaged throughout
Indicates: Strong content-hook match═══════════════════════════════════════════════════════════════
VIDEO ANALYTICS REPORT
Video: [Title]
Published: [Date]
Analysis Period: [X days since publish]
═══════════════════════════════════════════════════════════════
📊 PERFORMANCE SUMMARY:
─────────────────────────────────────────────────────────────
Views: [X] ([+/-X%] vs channel avg)
Watch Time: [X hours] ([+/-X%] vs channel avg)
CTR: [X%] ([+/-X%] vs channel avg)
Avg View Duration: [X:XX] ([X%] of video)
Engagement: [X%] (Likes: X, Comments: X)
Performance Tier: [🚀 Breakout / ✅ Solid / 😐 Average / ⚠️ Under / ❌ Flop]
📈 RETENTION ANALYSIS:
─────────────────────────────────────────────────────────────
Hook Effectiveness (0-30s): [Strong/Moderate/Weak]
- [X%] still watching at 30 seconds
Key Drop-off Points:
- [Timestamp]: [X%] dropped - Likely cause: [reason]
- [Timestamp]: [X%] dropped - Likely cause: [reason]
Rewatch Spikes:
- [Timestamp]: Viewers replayed - Content: [what happened]
Overall Shape: [Early drop / Gradual decline / Cliff / Flat]
🎯 TRAFFIC SOURCES:
─────────────────────────────────────────────────────────────
1. [Source]: [X%] - [Insight]
2. [Source]: [X%] - [Insight]
3. [Source]: [X%] - [Insight]
Best Performing Source: [Source] - Why: [explanation]
Underperforming Source: [Source] - Recommendation: [action]
👥 AUDIENCE INSIGHTS:
─────────────────────────────────────────────────────────────
New vs Returning: [X% new / X% returning]
Geographic: Top countries [list]
Demographics: Primary age/gender [if available]
Device: [X% mobile / X% desktop / X% TV]
Subscriber Impact: [+X subscribers] ([X%] conversion)
🔍 DIAGNOSIS:
─────────────────────────────────────────────────────────────
Primary Issue: [Identify main problem if any]
Root Cause: [Why this happened]
Secondary Issues: [Other concerns]
💡 RECOMMENDATIONS:
─────────────────────────────────────────────────────────────
IMMEDIATE (This Video):
1. [Action] - Expected impact: [result]
2. [Action] - Expected impact: [result]
FUTURE VIDEOS:
1. [Lesson learned] - Apply to: [future content]
2. [Lesson learned] - Apply to: [future content]
A/B TEST SUGGESTION:
- Test: [Element to test]
- Hypothesis: [What you expect]
- Measure: [Metric to track]
🎬 CLIP OPPORTUNITY:
─────────────────────────────────────────────────────────────
High-engagement moment at [Timestamp]: "[Description]"
Recommended for: [TikTok/Shorts/Reels]
Hook angle: "[Suggested hook]"
📅 NEXT STEPS:
─────────────────────────────────────────────────────────────
[ ] [Action item 1]
[ ] [Action item 2]
[ ] [Action item 3]
═══════════════════════════════════════════════════════════════Analyze this video's performance:
[Paste analytics data or describe metrics]
Comparisons:
- Channel average CTR: [X%]
- Channel average retention: [X%]
- Similar video performance: [description]My video has [X views] but my CTR is [X%].
Why is it underperforming and how do I fix it?Analyze these videos' performance trends:
Video 1: [Title] - [Views, CTR, Retention]
Video 2: [Title] - [Views, CTR, Retention]
Video 3: [Title] - [Views, CTR, Retention]
What patterns do you see?Here are my last 10 videos' metrics:
[List videos with key metrics]
How is my channel performing overall?
What should I focus on? CTR Retention Engagement
Educational 3-6% 40-60% 3-6%
Entertainment 5-10% 30-50% 5-10%
Gaming 4-8% 25-45% 4-8%
Vlog 3-7% 35-55% 4-8%
Product Review 4-8% 40-60% 3-6%
Tutorial 3-6% 45-65% 3-5%
Short-form 8-15% 70-100%+ 8-15%⚠️ IMMEDIATE ATTENTION:
- CTR dropped 50%+ from average
- Retention cliff in first 30 seconds
- Impressions declining week-over-week
- Subscriber loss instead of gain
📉 CONCERNING TRENDS:
- AVD decreasing over time
- Engagement rate declining
- More dislikes than usual
- Comments increasingly negative© nicepkg, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in workflows/video-creator-workflow/.claude/skills/video-analytics-interpreter of nicepkg/ai-workflow.
Open the folder on GitHubat commit d167b41
Video Analytics Interpreter 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 Analytics Interpreter this skillnicepkg/ai-workflow | 285 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Paid Ads AuditAgriciDaniel/claude-ads | 9.9k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Influencer Discoverytigerless-labs/influencer-discovery | 212 | — | ~2.5k | Automated safety check: Notes | None | |
| Comment MiningScrapeCreators/social-media-research-skills | 3.4k | — | ~1k | Automated safety check: Notes | MIT | |
| Competitor Social ResearchScrapeCreators/social-media-research-skills | 3.4k | — | ~1.1k | Automated safety check: Notes | MIT | |
| Business Contact and Social Links Finderbrowser-act/skills | 6.1k | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
AgriciDaniel/claude-ads
Runs a source-grounded paid advertising audit across up to 12 ad platforms, with parallel platform workers, deterministic scoring and a versioned JSON bundle.
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or…
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a…
browser-act/skills
Finds a company's official website and social profiles from its name, or collects social links from a website URL, using BrowserAct templates run by a Python script.
pedronauck/skills
Plans and improves YouTube ideas, titles, thumbnail concepts, scripts, retention, channel strategy, and metric-based diagnosis.
nicepkg/ai-workflow
Processes Drafts Pro captures from the Inbox folder. An agent skill from nicepkg/ai-workflow.
nicepkg/ai-workflow
Transform legacy codebases into AI-ready projects with Claude Code configurations.
nicepkg/ai-workflow
Writing coach that extracts educational content from your daily experiences and turns it into publish-ready newsletter drafts.
nicepkg/ai-workflow
Content web architecture framework. An agent skill from nicepkg/ai-workflow.
nicepkg/ai-workflow
Create complete Claude Code workflow directories with curated skills.
nicepkg/ai-workflow
Video/audio/image processing with FFmpeg and ImageMagick. An agent skill from nicepkg/ai-workflow.
Categories
Interpret YouTube Analytics, TikTok Analytics, and video performance data. Video Analytics Interpreter is an agent skill from nicepkg/ai-workflow. Interpret YouTube Analytics, TikTok Analytics, and video performance data.
Video Analytics Interpreter fits situations like: analyzing video performance; understanding metrics; optimizing channel strategy.
Run `npx skills add nicepkg/ai-workflow --skill video-analytics-interpreter -a claude-code`. Or copy the skill folder (workflows/video-creator-workflow/.claude/skills/video-analytics-interpreter in nicepkg/ai-workflow) into .claude/skills/video-analytics-interpreter in your project. Claude Code loads it when a task matches its description.
Run `npx skills add nicepkg/ai-workflow --skill video-analytics-interpreter -a codex`. Or copy the skill folder (workflows/video-creator-workflow/.claude/skills/video-analytics-interpreter in nicepkg/ai-workflow) into .agents/skills/video-analytics-interpreter in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nicepkg/ai-workflow --skill video-analytics-interpreter -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-analytics-interpreter, .gemini/skills/video-analytics-interpreter, .github/skills/video-analytics-interpreter and .opencode/skills/video-analytics-interpreter in your project.
SKILL.md names no scripts, command-line tools or credentials: Video Analytics Interpreter is instructions for the agent only.
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.
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.
Video Analytics Interpreter is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Video Analytics Interpreter: Paid Ads Audit (AgriciDaniel/claude-ads, 9.9k stars), Influencer Discovery (tigerless-labs/influencer-discovery, 212 stars), Comment Mining (ScrapeCreators/social-media-research-skills, 3.4k stars) and Competitor Social Research (ScrapeCreators/social-media-research-skills, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 75 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.