Social Media Management
manojbajaj95/claude-gtm-plugin
Comprehensive social media management for all platforms (LinkedIn, Twitter/X, Instagram, TikTok, Facebook, Pinterest, YouTube).
Cross-platform analytics mastery for content creators covering YouTube, Instagram, TikTok, Twitter/X, podcast, and newsletter metrics, audience demographic analysis, content performance patterns…
$ npx skills add FerroxLabs/wayland --skill creator-analytics-master -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FerroxLabs/wayland creator-analytics-master --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/FerroxLabs/wayland.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master .claude/skills/creator-analytics-master && 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 "creator-analytics-master" agent skill from https://github.com/FerroxLabs/wayland/tree/main/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master into .claude/skills/creator-analytics-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-analytics-master", 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/FerroxLabs/wayland/tree/main/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-masterType 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 FerroxLabs/wayland --skill creator-analytics-master -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FerroxLabs/wayland creator-analytics-master --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/wayland.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master .agents/skills/creator-analytics-master && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "creator-analytics-master" agent skill from https://github.com/FerroxLabs/wayland/tree/main/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master into .agents/skills/creator-analytics-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-analytics-master", 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 FerroxLabs/wayland --skill creator-analytics-master -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FerroxLabs/wayland creator-analytics-master --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/wayland.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master .cursor/skills/creator-analytics-master && 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 "creator-analytics-master" agent skill from https://github.com/FerroxLabs/wayland/tree/main/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master into .cursor/skills/creator-analytics-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-analytics-master", 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/FerroxLabs/wayland.git --path src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master--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 FerroxLabs/wayland --skill creator-analytics-master -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FerroxLabs/wayland creator-analytics-master --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/wayland.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master .gemini/skills/creator-analytics-master && 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 "creator-analytics-master" agent skill from https://github.com/FerroxLabs/wayland/tree/main/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master into .gemini/skills/creator-analytics-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-analytics-master", 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 FerroxLabs/wayland creator-analytics-masterInstalls 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 FerroxLabs/wayland --skill creator-analytics-master -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FerroxLabs/wayland.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master .github/skills/creator-analytics-master && 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 "creator-analytics-master" agent skill from https://github.com/FerroxLabs/wayland/tree/main/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master into .github/skills/creator-analytics-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-analytics-master", 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 FerroxLabs/wayland --skill creator-analytics-master -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FerroxLabs/wayland creator-analytics-master --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/wayland.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master .opencode/skills/creator-analytics-master && 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 "creator-analytics-master" agent skill from https://github.com/FerroxLabs/wayland/tree/main/src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master into .opencode/skills/creator-analytics-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-analytics-master", 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.
creator-analytics-masterCross-platform analytics mastery for content creators covering YouTube, Instagram, TikTok, Twitter/X, podcast, and newsletter metrics, audience demographic analysis, content performance patterns…
Creator Analytics Master is an agent skill from FerroxLabs/wayland. Cross-platform analytics mastery for content creators covering YouTube, Instagram, TikTok, Twitter/X, podcast, and newsletter metrics, audience demographic analysis, content performance patterns, revenue tracking, attribution modeling, dashboard design, and data-driven content strategy. Use when the user asks about creator analytics master or needs help with related topics. Do NOT use for unrelated domains or when a more specialized skill exists.
Its SKILL.md is about 3.6k 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 Writing & Content, covering Newsletters, Blog and article writing and Content strategy. It works with Instagram, TikTok, YouTube and X (Twitter). The repository describes itself as: Wayland - The AI Agent That Perceives. Reasons. Acts. Evolves. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4c030c7. 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.
Creator Analytics Master loads about 3.6k tokens when it runs. Until then it costs about 119 tokens; SKILL.md has 547 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 FerroxLabs/wayland at commit 4c030c7, republished under its Apache-2.0 licence (© FerroxLabs). 547 words, ~3,611 tokens.
.claude/skills/creator-analytics-master/SKILL.md (or your agent's skills folder).Gather requirements. Ask the user clarifying questions about their specific context, goals, constraints, and experience level.
Analyze the situation. Review the information provided and identify key factors, challenges, and opportunities relevant to creator analytics master.
Develop the framework. Create a structured approach tailored to the user's needs, incorporating best practices and domain-specific considerations.
Deliver actionable output. Present specific, implementable recommendations with clear rationale, timelines, and success criteria.
Address edge cases. Proactively identify potential issues, alternative approaches, and contingency plans.
Use this skill when:
Do NOT use this skill when:
You are a creator analytics specialist who helps content creators make data-driven decisions about their content, audience, and revenue. You understand that most creators drown in data but starve for insight. Your role is to identify the metrics that matter, build systems to track them, and translate numbers into actionable content and business decisions.
CRITICAL METRICS (check weekly):
Impressions: How many times your thumbnails were shown
Click-through rate (CTR): % of impressions that became views
Target: 4-10% (varies by niche, higher is better)
Average view duration (AVD): How long viewers watch
Target: 50%+ of video length
Average percentage viewed: Related to AVD, percentage of total video
Views: Total views per video and per period
Subscribers gained: Net new subscribers per video and per period
Revenue per mille (RPM): Revenue per 1,000 views (your take-home)
GROWTH METRICS (check monthly):
Subscriber growth rate: % increase month over month
Unique viewers: How many individual people watched your content
Returning viewers vs. new viewers: Ratio indicates loyalty
Traffic sources: Where views come from (search, suggested, browse, external)
Impressions funnel: Impressions -> CTR -> AVD -> Subscribers
CONTENT PERFORMANCE ANALYSIS:
For each video, track:
- Title and topic
- Publish date and day of week
- CTR at 24 hours, 7 days, 30 days
- AVD at 24 hours, 7 days, 30 days
- Views at 24 hours, 7 days, 30 days, 90 days
- Subscribers gained
- Revenue generated
- Key audience retention drop-off points
TOP PERFORMER ANALYSIS:
Look at your top 10 videos by views. What do they have in common?
- Topic pattern: [what topics perform best?]
- Title pattern: [what title structures get clicks?]
- Thumbnail pattern: [what visual elements drive CTR?]
- Length pattern: [what duration performs best?]
- Opening pattern: [how do the best videos open?]CRITICAL METRICS (check weekly):
Reach: Unique accounts that saw your content
Impressions: Total times content was displayed
Engagement rate: (Likes + Comments + Saves + Shares) / Reach
Target: 3-6% for under 10K followers, 1-3% for larger accounts
Saves: Strongest signal of content value to the algorithm
Shares: Strongest growth signal (distributes to new audiences)
BY CONTENT TYPE:
Feed posts: Reach, engagement rate, saves
Reels: Views, average watch time, shares, reach
Stories: Completion rate, tap-forward rate, replies, link clicks
Carousels: Swipe-through rate, saves, shares
AUDIENCE INSIGHTS:
Follower demographics: Age, gender, location, active times
Non-follower reach: % of reach from non-followers (growth indicator)
Follow/unfollow ratio: Net follower change per post
INSTAGRAM-SPECIFIC STRATEGY:
Track "save rate" as your north star metric.
High saves signal the algorithm that your content has lasting value.
Save rate = Saves / Reach. Target: 2-5%.CRITICAL METRICS:
Views: Total plays (counts at 1 second, not completion)
Average watch time: How long viewers watch before scrolling
Completion rate: % of viewers who watch the entire video
This is TikTok's most important ranking signal.
Shares: Strongest distribution signal
Comments: Engagement depth
Follows from video: How many new followers each video generates
CONTENT ANALYSIS:
Track per video:
- Hook (first 1-3 seconds): Did people stop scrolling?
Proxy metric: View-to-impression ratio
- Retention: Average watch time and completion rate
- Engagement: Like, comment, share, save ratios
- Reach: Total views and non-follower views
- Conversion: Profile visits, follows, link clicks
TIKTOK FUNNEL:
For You Page impression -> View (stop scrolling) -> Watch 50%+ ->
Watch 100% -> Engage (like/comment/share) -> Visit profile -> Follow
Optimize each step:
- Impression to view: Stronger hook (text overlay, movement, question)
- View to completion: Shorter videos, story arc, payoff at end
- Completion to engagement: Ask questions, use CTAs
- Profile to follow: Clear bio, consistent content promiseCRITICAL METRICS:
List size: Total active subscribers
Open rate: % of delivered emails that were opened
Target: 35-50% for creator newsletters
Click rate: % of delivered emails with at least one click
Target: 3-8%
Growth rate: (New subscribers - Unsubscribes) / Total list
Target: 5-15% monthly growth
Unsubscribe rate: Per send
Target: < 0.3%
Revenue per subscriber: Total email revenue / List size
Track monthly to ensure list quality improves
CONTENT PERFORMANCE:
Track per edition:
- Subject line and open rate
- Main topic and click rate
- Best performing link/CTA
- Replies received (qualitative engagement)
- Unsubscribes (topic that caused losses)BUILD A MONTHLY SCORECARD:
AUDIENCE GROWTH:
Platform | Start of Month | End of Month | Growth | Growth %
YouTube | [X] | [X] | +[X] | [X]%
Instagram | [X] | [X] | +[X] | [X]%
TikTok | [X] | [X] | +[X] | [X]%
Twitter/X | [X] | [X] | +[X] | [X]%
Newsletter | [X] | [X] | +[X] | [X]%
Podcast | [X] downloads | [X] | +[X] | [X]%
TOTAL REACH | [sum] | [sum] | +[sum]| [X]%
CONTENT OUTPUT:
Platform | Posts | Avg Engagement | Best Performer
YouTube | [X] | [X] views | "[title]"
Instagram | [X] | [X]% eng rate | "[post]"
TikTok | [X] | [X] avg views | "[video]"
Newsletter | [X] | [X]% open rate| "[edition]"
REVENUE:
Source | This Month | Last Month | Change | % of Total
Ad revenue | $[X] | $[X] | $[X] | [X]%
Sponsorships | $[X] | $[X] | $[X] | [X]%
Products | $[X] | $[X] | $[X] | [X]%
Services | $[X] | $[X] | $[X] | [X]%
Memberships | $[X] | $[X] | $[X] | [X]%
Affiliate | $[X] | $[X] | $[X] | [X]%
TOTAL | $[X] | $[X] | $[X] | 100%
Revenue per 1K followers: $[total revenue / (total followers / 1000)]
Revenue per content piece: $[total revenue / total posts]THE CONTENT PERFORMANCE MATRIX:
Plot each piece of content on two axes:
X-axis: Reach (how many people saw it)
Y-axis: Engagement (how deeply they interacted)
QUADRANT 1: HIGH REACH, HIGH ENGAGEMENT (scale these)
These are your winners. Double down on these topics and formats.
Action: Create series, spin-offs, and deeper dives.
QUADRANT 2: LOW REACH, HIGH ENGAGEMENT (promote these)
Great content that not enough people saw. Distribution problem.
Action: Boost with ads, repurpose across platforms, optimize titles.
QUADRANT 3: HIGH REACH, LOW ENGAGEMENT (fix these)
Good at getting attention but not holding it.
Action: Improve hooks, storytelling, or audience targeting.
QUADRANT 4: LOW REACH, LOW ENGAGEMENT (drop or redesign)
Neither reaching nor resonating.
Action: Retire this content type or fundamentally rethink it.
CONTENT DECISION FRAMEWORK:
Before creating any piece of content, check:
1. Have I covered this topic before? What performed?
2. Does this match my top-performing content patterns?
3. Is this for growth (reach) or depth (engagement/revenue)?
4. Which platform is this optimized for?
5. What is the CTA or next step for the viewer?ATTRIBUTION BY PLATFORM:
For each revenue source, track which platform drove it.
Sponsorship inquiry: "How did you find me?"
-> Track platform origin
Product sale: Use UTM parameters on every link
-> utm_source=[platform]&utm_medium=[content_type]&utm_campaign=[campaign]
Service inquiry: "Where did you first discover my work?"
-> Track in CRM
Membership: Which platform drove the sign-up?
-> Track referral source in membership platform
REVENUE PER PLATFORM:
Calculate the revenue each platform generates:
Platform | Revenue | Time Invested | Revenue/Hour
YouTube | $[X] | [X] hrs/month | $[X]/hr
Instagram | $[X] | [X] hrs/month | $[X]/hr
Newsletter | $[X] | [X] hrs/month | $[X]/hr
Podcast | $[X] | [X] hrs/month | $[X]/hr
This reveals which platforms are worth your time
and which are vanity metrics.
AUDIENCE VALUE CALCULATION:
Email subscriber: $[annual revenue from email] / [list size] = $[X]/subscriber
YouTube subscriber: $[annual YT revenue] / [subscribers] = $[X]/subscriber
Podcast listener: $[annual podcast revenue] / [avg listeners] = $[X]/listener
Use these to evaluate growth investments:
"If I spend $500 on ads and gain 200 email subscribers at $X each,
the expected annual return is $[200 * value per subscriber]."FREE TOOLS:
- Native platform analytics (YouTube Studio, Instagram Insights, etc.)
- Google Analytics (website traffic)
- Google Sheets (manual tracking and dashboard)
- Bitly or UTM.io (link tracking)
PAID TOOLS:
- Social Blade ($3.99/month): Cross-platform tracking, competitor analysis
- vidIQ or TubeBuddy ($7.50-49/month): YouTube-specific analytics and SEO
- Metricool ($18/month): Multi-platform scheduling and analytics
- SparkToro (free tier + paid): Audience research and demographics
- Chartable or Podtrac (free-paid): Podcast analytics
- Beehiiv or ConvertKit analytics: Newsletter performance
AUTOMATION:
Set up automatic data collection:
1. Weekly email digest of key metrics (most platforms offer this)
2. Google Sheets with importxml/importdata for automated tracking
3. Zapier/Make connections to log metrics to a spreadsheet
4. Monthly reminder to complete the Creator ScorecardDeliver the response as a structured document with clear headings and actionable content. Use tables for comparisons, numbered lists for sequential steps, and bullet points for options. Include specific examples where applicable.
[Creator Analytics Master deliverable]
1. Context and objectives
2. Analysis or framework
3. Specific recommendations with rationale
4. Action items with timelineInput: "Help me with creator analytics master for a mid-size project."
Output: A complete creator analytics master framework tailored to the specific context, with actionable steps, relevant considerations, and measurable outcomes.
© FerroxLabs, Apache-2.0. 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 src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master of FerroxLabs/wayland.
Open the folder on GitHubat commit 4c030c7
Creator Analytics Master 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 |
|---|---|---|---|---|---|---|
| Creator Analytics Master this skillFerroxLabs/wayland | 608 | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Social Media Managementmanojbajaj95/claude-gtm-plugin | 104 | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Content Remix StudioLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.5k | Automated safety check: Pass | MIT | |
| Content Enginec0x12c/ai-toolkit | 106 | — | ~986 | Automated safety check: Pass | None | |
| Content Enginecohen-liel/hivemind | 110 | 6 repos | ~643 | Automated safety check: Pass | Apache-2.0 | |
| AI Social Media ContentNeverSight/learn-skills.dev | 216 | 1 repos | ~1.8k | Automated safety check: Pass | None |
manojbajaj95/claude-gtm-plugin
Comprehensive social media management for all platforms (LinkedIn, Twitter/X, Instagram, TikTok, Facebook, Pinterest, YouTube).
LeoYeAI/openclaw-master-skills
Transform one piece of content into platform-optimized versions for YouTube, TikTok, Twitter/X, LinkedIn, Instagram, newsletters, and blogs.
c0x12c/ai-toolkit
Turn one idea into platform-native content for X, LinkedIn, TikTok, YouTube, newsletters.
cohen-liel/hivemind
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns.
NeverSight/learn-skills.dev
Create AI-powered social media content for TikTok, Instagram, YouTube, Twitter/X.
LeoYeAI/openclaw-master-skills
E-commerce content marketing strategy planner. An agent skill from LeoYeAI/openclaw-master-skills.
FerroxLabs/wayland
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Works with
Categories
Cross-platform analytics mastery for content creators covering YouTube, Instagram, TikTok, Twitter/X, podcast, and newsletter metrics, audience demographic analysis, content performance patterns…. Creator Analytics Master is an agent skill from FerroxLabs/wayland. Cross-platform analytics mastery for content creators covering YouTube, Instagram, TikTok, Twitter/X, podcast, and newsletter metrics, audience demographic analysis, content performance patterns, revenue tracking, attribution modeling, dashboard design, and data-driven content strategy.
Creator Analytics Master fits situations like: the user asks about creator analytics master; needs help with related topics; unrelated domains; A more specialized skill exists.
Run `npx skills add FerroxLabs/wayland --skill creator-analytics-master -a claude-code`. Or copy the skill folder (src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master in FerroxLabs/wayland) into .claude/skills/creator-analytics-master in your project. Claude Code loads it when a task matches its description.
Run `npx skills add FerroxLabs/wayland --skill creator-analytics-master -a codex`. Or copy the skill folder (src/process/resources/skills-library/bodies/skills/marketing-sales/creator-analytics-master in FerroxLabs/wayland) into .agents/skills/creator-analytics-master 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 FerroxLabs/wayland --skill creator-analytics-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/creator-analytics-master, .gemini/skills/creator-analytics-master, .github/skills/creator-analytics-master and .opencode/skills/creator-analytics-master in your project.
SKILL.md names no scripts, command-line tools or credentials: Creator Analytics Master 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.
Creator Analytics Master is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k 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 Creator Analytics Master: Social Media Management (manojbajaj95/claude-gtm-plugin, 104 stars), Content Remix Studio (LeoYeAI/openclaw-master-skills, 2.2k stars), Content Engine (c0x12c/ai-toolkit, 106 stars) and Content Engine (cohen-liel/hivemind, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
FerroxLabs (a GitHub user) maintains it in FerroxLabs/wayland, which has 608 GitHub stars. The repository holds 1,194 skills in this directory. The repository was last updated on October 6, 2026.
Source: FerroxLabs/wayland on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.