Creator · kostja94
Last updated · Sep 2, 2026
When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis
Creator · kostja94
Last updated · Sep 2, 2026
When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis
Creator · kostja94
Last updated · Sep 2, 2026
When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis
Creator · kostja94
Last updated · Sep 2, 2026
When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis
Sandbox only
Install targets
Codex install prompt
Install the "traffic-analysis" agent skill from https://github.com/kostja94/marketing-skills/tree/main/skills/analytics/sources/traffic. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic." For GA4 setup, use analytics-tracking. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"kostja94-traffic-analysis","task":"Install traffic-analysis","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kostja94/marketing-skills --skill traffic-analysis
Maintenance
active
3mo since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
946
70/100 Quality · 79/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
946 GitHub stars
Repo activity
946 stars, 130 forks
Maintenance
3mo since push
License
MIT
Install
npx skills add kostja94/marketing-skills --skill traffic-analysis
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add kostja94/marketing-skills --skill traffic-analysisDo not use when
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Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kostja94-traffic-analysis/install
Agent should check
Copy prompt
Task: Use traffic-analysis in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kostja94-traffic-analysis/install
Install command: npx skills add kostja94/marketing-skills --skill traffic-analysis
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/kostja94-traffic-analysis/install
LLM text format
/api/skills/kostja94-traffic-analysis/install?format=text
Find alternatives
/api/skills/search?q=traffic-analysis&limit=3
Agent prompt
Use traffic-analysis for this task. Review https://www.openagentskill.com/api/skills/kostja94-traffic-analysis/install, then install with: npx skills add kostja94/marketing-skills --skill traffic-analysisRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/kostja94-traffic-analysis
LLM text
/api/registry/manifest/kostja94-traffic-analysis?format=text
Install alias
/api/registry/install/kostja94-traffic-analysis
Recommend
/api/registry/recommend?task=Use%20traffic-analysis%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO946 GitHub stars
Stars/forks activity
INFO946 stars, 130 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Grow distribution
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
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Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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--- name: traffic-analysis description: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic." For GA4 setup, use analytics-tracking. metadata: version: 1.1.1 ---
# Analytics: Traffic
Guides website traffic analysis across all channels (organic, paid, social, referral, direct). Covers traffic source attribution, dark traffic identification, and multi-channel reporting.
**When invoking**: On **first use**, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output.
## Scope
- **Traffic sources**: Organic, paid, social, referral, direct, email - **Dark traffic**: Unattributed visits labeled as "Direct / None" - **Attribution**: UTM tagging, segmenting, reporting accuracy
## Branded vs. Non-Branded Traffic (Organic)
| Type | Characteristics | |------|-----------------| | **Branded** | Higher CTR, conversion, purchase intent; users closer to funnel bottom | | **Non-branded** | Touchpoint with future users; most sites get more non-brand traffic; competition fiercer |
Brand traffic grows over time as brand awareness increases.
## Bot Traffic
A large share of traffic can be **bot traffic**—RPA, search crawlers, spiders, scrapers. Exclude or segment when evaluating real user behavior; use GA4 filters or segments to isolate human traffic.
## Traffic Channels
| Channel | Typical Sources | Attribution | |---------|-----------------|-------------| | **Organic** | Google, Bing, other search | Referrer preserved | | **Paid (web)** | Google Ads, Meta Ads, etc. | UTM required | | **Paid (app)** | App install ads; Google App Campaigns, Apple Search Ads | UTM; in-app events | | **Paid (TV/CTV)** | Streaming ads; Hulu, Roku, YouTube TV | UTM for QR/URL; brand lift | | **Social** | Public posts (Facebook, LinkedIn, etc.) | Often preserved | | **Referral** | External sites, backlinks | Referrer preserved | | **Direct** | Typed URL, bookmarks | No referrer | | **Email** | Newsletters, campaigns | Often dark without UTM |
## Dark Traffic
### What It Is
Traffic without clear origin--analytics tools default to "Direct" when referrer is missing. Common causes:
- **Private/dark social**: WhatsApp, Messenger, Slack, Discord, TikTok shares - **Email clients**: Many strip referrer headers - **HTTPS->HTTP**: Referrer not passed - **Mobile apps**: In-app browsers often omit referrer - **Ad blockers, privacy tools**: Block tracking
### Misattribution (Research)
When traffic was sent from known sources, analytics often misattributed:
- **100% as direct**: TikTok, Slack, Discord, WhatsApp, Mastodon - **75%**: Facebook Messenger - **30%**: Instagram DMs - **14%**: LinkedIn public posts - **12%**: Pinterest
### Mitigation
| Action | Purpose | |--------|---------| | **UTM parameters** | Tag links in emails, social, campaigns: `?utm_source=X&utm_medium=Y&utm_campaign=Z` | | **Block internal IPs** | Exclude company visits from reports | | **Segment direct traffic** | Split by page type to estimate dark vs. genuine direct |
### Segmenting Direct Traffic
1. **Expected direct**: Homepage, short URLs, brand pages--likely real direct 2. **Unexpected direct**: Long URLs, deep pages, product pages--likely dark traffic 3. **Report separately**: Use segments in GA4/analytics to avoid overcounting direct
## Attribution for Channel Optimization
Ads, growth channels, and medium can be optimized by viewing **attribution data**. Clean UTM + conversion tracking feeds attribution models; reliable attribution drives budget allocation and channel decisions.
| Use | Action | |-----|--------| | **Optimize ads** | Compare paid channels (Google, Meta, LinkedIn) by attributed conversions; reallocate budget to winners | | **Optimize growth channels** | Identify which medium (cpc, email, social, referral) drives conversions; scale what works | | **Multi-touch attribution** | Requires clean UTM data; inconsistent tagging (e.g., `facebook` vs `Facebook`) fragments reports and misattributes |
**GA4 Default Channel Grouping**: Align `utm_medium` and `utm_source` with [GA4's rules](https://support.google.com/analytics/answer/9756891) to avoid "Unassigned" traffic. ~30% of campaigns lack proper UTM markup, leading to wasted ad spend; teams standardizing UTM see 29% improvement in attribution accuracy.
**Reference**: [UTM.io – utm_medium, utm_campaign & utm_source Optimization](https://web.utm.io/blog/utm_medium-utm_campaign-utm_source/), [UTMs for Marketing Attribution](https://web.utm.io/blog/utms-for-marketing-attribution/)
## UTM Best Practices
| Parameter | Use | Example | |-----------|-----|---------| | `utm_source` | Origin | `newsletter`, `facebook`, `google` | | `utm_medium` | Channel type | `email`, `cpc`, `social` | | `utm_campaign` | Campaign name | `summer_sale`, `product_launch` | | `utm_content` | Variant (optional) | `banner_a`, `cta_button` | | `utm_term` | Paid keyword (optional) | `running_shoes` |
**GA4 alignment** (avoid Unassigned):
| Channel | utm_medium | utm_source | |---------|------------|------------| | Paid Search | `cpc` | `google`, `bing` | | Paid Social | `paid-social`, `cpc` | `facebook`, `instagram` | | Email | `email` | `newsletter`, `mailchimp` | | Organic Social | `social` | `twitter`, `linkedin` | | App install | `cpc`, `app` | `google`, `facebook`, `apple` | | CTV / Streaming | `video`, `ctv` | `hulu`, `roku`, `youtube` | | Display / Banner | `display`, `cpc` | Publisher or network name | | Directory ads | `paid`, `cpc` | `taaft`, `shopify`, `g2`, `capterra` |
- **Consistent naming**: Lowercase, hyphens; document conventions; never tag internal links (overwrites session attribution) - **Apply everywhere**: Every link in emails, social posts, ads - **Avoid**: Typos, inconsistent values; causes fragmentation
## Traffic Diversification
| Principle | Guideline | |-----------|-----------| | **Search share** | Keep organic search below ~75% of total traffic | | **Health** | Higher direct + referral share = healthier profile | | **Brand sites** | Diversified traffic is common for strong brands | | **Engagement** | Content, email, social, free tools drive return visits |
See **seo-monitoring** for full SEO data analysis framework.
## Natural Traffic Benchmark
**Location**: GA4 > Reports > Acquisition > Traffic acquisition
1. Review organic traffic trend 2. Record baseline (e.g., monthly total) 3. Compare periodically to detect growth or decline
## Output Format
- **Traffic source** breakdown - **Dark traffic** estimate and actions - **UTM** tagging recommendations - **Segmentation** approach for reporting
## Related Skills
- **analytics-tracking**: Implement UTM, events, conversions; attribution models - **google-ads, paid-ads-strategy**: Paid channels; attribution informs budget allocation - **ai-traffic-tracking**: AI search traffic - **google-search-console**: GSC performance and indexing analysis - **seo-monitoring**: Full SEO data analysis system, benchmark, article database - **email-marketing**: Email strategy; UTM for email links
Source provenance
Decision snapshot
946 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for traffic-analysis, ready for a manual X post.
traffic-analysis: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also us... 946 stars https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=x
Listing + install path for traffic-analysis: https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=x Install: npx skills add kostja94/marketing-skills --skill traffic-analysis
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kostja94 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis/audit)
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kostja94
@kostja94
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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Install targets
Codex install prompt
Install the "traffic-analysis" agent skill from https://github.com/kostja94/marketing-skills/tree/main/skills/analytics/sources/traffic. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic." For GA4 setup, use analytics-tracking. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"kostja94-traffic-analysis","task":"Install traffic-analysis","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kostja94/marketing-skills --skill traffic-analysis
Maintenance
active
3mo since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
946
70/100 Quality · 79/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
946 GitHub stars
Repo activity
946 stars, 130 forks
Maintenance
3mo since push
License
MIT
Install
npx skills add kostja94/marketing-skills --skill traffic-analysis
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add kostja94/marketing-skills --skill traffic-analysisDo not use when
Alternative
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Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kostja94-traffic-analysis/install
Agent should check
Copy prompt
Task: Use traffic-analysis in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kostja94-traffic-analysis/install
Install command: npx skills add kostja94/marketing-skills --skill traffic-analysis
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/kostja94-traffic-analysis/install
LLM text format
/api/skills/kostja94-traffic-analysis/install?format=text
Find alternatives
/api/skills/search?q=traffic-analysis&limit=3
Agent prompt
Use traffic-analysis for this task. Review https://www.openagentskill.com/api/skills/kostja94-traffic-analysis/install, then install with: npx skills add kostja94/marketing-skills --skill traffic-analysisRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/kostja94-traffic-analysis
LLM text
/api/registry/manifest/kostja94-traffic-analysis?format=text
Install alias
/api/registry/install/kostja94-traffic-analysis
Recommend
/api/registry/recommend?task=Use%20traffic-analysis%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO946 GitHub stars
Stars/forks activity
INFO946 stars, 130 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Grow distribution
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: traffic-analysis description: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic." For GA4 setup, use analytics-tracking. metadata: version: 1.1.1 ---
# Analytics: Traffic
Guides website traffic analysis across all channels (organic, paid, social, referral, direct). Covers traffic source attribution, dark traffic identification, and multi-channel reporting.
**When invoking**: On **first use**, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output.
## Scope
- **Traffic sources**: Organic, paid, social, referral, direct, email - **Dark traffic**: Unattributed visits labeled as "Direct / None" - **Attribution**: UTM tagging, segmenting, reporting accuracy
## Branded vs. Non-Branded Traffic (Organic)
| Type | Characteristics | |------|-----------------| | **Branded** | Higher CTR, conversion, purchase intent; users closer to funnel bottom | | **Non-branded** | Touchpoint with future users; most sites get more non-brand traffic; competition fiercer |
Brand traffic grows over time as brand awareness increases.
## Bot Traffic
A large share of traffic can be **bot traffic**—RPA, search crawlers, spiders, scrapers. Exclude or segment when evaluating real user behavior; use GA4 filters or segments to isolate human traffic.
## Traffic Channels
| Channel | Typical Sources | Attribution | |---------|-----------------|-------------| | **Organic** | Google, Bing, other search | Referrer preserved | | **Paid (web)** | Google Ads, Meta Ads, etc. | UTM required | | **Paid (app)** | App install ads; Google App Campaigns, Apple Search Ads | UTM; in-app events | | **Paid (TV/CTV)** | Streaming ads; Hulu, Roku, YouTube TV | UTM for QR/URL; brand lift | | **Social** | Public posts (Facebook, LinkedIn, etc.) | Often preserved | | **Referral** | External sites, backlinks | Referrer preserved | | **Direct** | Typed URL, bookmarks | No referrer | | **Email** | Newsletters, campaigns | Often dark without UTM |
## Dark Traffic
### What It Is
Traffic without clear origin--analytics tools default to "Direct" when referrer is missing. Common causes:
- **Private/dark social**: WhatsApp, Messenger, Slack, Discord, TikTok shares - **Email clients**: Many strip referrer headers - **HTTPS->HTTP**: Referrer not passed - **Mobile apps**: In-app browsers often omit referrer - **Ad blockers, privacy tools**: Block tracking
### Misattribution (Research)
When traffic was sent from known sources, analytics often misattributed:
- **100% as direct**: TikTok, Slack, Discord, WhatsApp, Mastodon - **75%**: Facebook Messenger - **30%**: Instagram DMs - **14%**: LinkedIn public posts - **12%**: Pinterest
### Mitigation
| Action | Purpose | |--------|---------| | **UTM parameters** | Tag links in emails, social, campaigns: `?utm_source=X&utm_medium=Y&utm_campaign=Z` | | **Block internal IPs** | Exclude company visits from reports | | **Segment direct traffic** | Split by page type to estimate dark vs. genuine direct |
### Segmenting Direct Traffic
1. **Expected direct**: Homepage, short URLs, brand pages--likely real direct 2. **Unexpected direct**: Long URLs, deep pages, product pages--likely dark traffic 3. **Report separately**: Use segments in GA4/analytics to avoid overcounting direct
## Attribution for Channel Optimization
Ads, growth channels, and medium can be optimized by viewing **attribution data**. Clean UTM + conversion tracking feeds attribution models; reliable attribution drives budget allocation and channel decisions.
| Use | Action | |-----|--------| | **Optimize ads** | Compare paid channels (Google, Meta, LinkedIn) by attributed conversions; reallocate budget to winners | | **Optimize growth channels** | Identify which medium (cpc, email, social, referral) drives conversions; scale what works | | **Multi-touch attribution** | Requires clean UTM data; inconsistent tagging (e.g., `facebook` vs `Facebook`) fragments reports and misattributes |
**GA4 Default Channel Grouping**: Align `utm_medium` and `utm_source` with [GA4's rules](https://support.google.com/analytics/answer/9756891) to avoid "Unassigned" traffic. ~30% of campaigns lack proper UTM markup, leading to wasted ad spend; teams standardizing UTM see 29% improvement in attribution accuracy.
**Reference**: [UTM.io – utm_medium, utm_campaign & utm_source Optimization](https://web.utm.io/blog/utm_medium-utm_campaign-utm_source/), [UTMs for Marketing Attribution](https://web.utm.io/blog/utms-for-marketing-attribution/)
## UTM Best Practices
| Parameter | Use | Example | |-----------|-----|---------| | `utm_source` | Origin | `newsletter`, `facebook`, `google` | | `utm_medium` | Channel type | `email`, `cpc`, `social` | | `utm_campaign` | Campaign name | `summer_sale`, `product_launch` | | `utm_content` | Variant (optional) | `banner_a`, `cta_button` | | `utm_term` | Paid keyword (optional) | `running_shoes` |
**GA4 alignment** (avoid Unassigned):
| Channel | utm_medium | utm_source | |---------|------------|------------| | Paid Search | `cpc` | `google`, `bing` | | Paid Social | `paid-social`, `cpc` | `facebook`, `instagram` | | Email | `email` | `newsletter`, `mailchimp` | | Organic Social | `social` | `twitter`, `linkedin` | | App install | `cpc`, `app` | `google`, `facebook`, `apple` | | CTV / Streaming | `video`, `ctv` | `hulu`, `roku`, `youtube` | | Display / Banner | `display`, `cpc` | Publisher or network name | | Directory ads | `paid`, `cpc` | `taaft`, `shopify`, `g2`, `capterra` |
- **Consistent naming**: Lowercase, hyphens; document conventions; never tag internal links (overwrites session attribution) - **Apply everywhere**: Every link in emails, social posts, ads - **Avoid**: Typos, inconsistent values; causes fragmentation
## Traffic Diversification
| Principle | Guideline | |-----------|-----------| | **Search share** | Keep organic search below ~75% of total traffic | | **Health** | Higher direct + referral share = healthier profile | | **Brand sites** | Diversified traffic is common for strong brands | | **Engagement** | Content, email, social, free tools drive return visits |
See **seo-monitoring** for full SEO data analysis framework.
## Natural Traffic Benchmark
**Location**: GA4 > Reports > Acquisition > Traffic acquisition
1. Review organic traffic trend 2. Record baseline (e.g., monthly total) 3. Compare periodically to detect growth or decline
## Output Format
- **Traffic source** breakdown - **Dark traffic** estimate and actions - **UTM** tagging recommendations - **Segmentation** approach for reporting
## Related Skills
- **analytics-tracking**: Implement UTM, events, conversions; attribution models - **google-ads, paid-ads-strategy**: Paid channels; attribution informs budget allocation - **ai-traffic-tracking**: AI search traffic - **google-search-console**: GSC performance and indexing analysis - **seo-monitoring**: Full SEO data analysis system, benchmark, article database - **email-marketing**: Email strategy; UTM for email links
Source provenance
Decision snapshot
946 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for traffic-analysis, ready for a manual X post.
traffic-analysis: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also us... 946 stars https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=x
Listing + install path for traffic-analysis: https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=x Install: npx skills add kostja94/marketing-skills --skill traffic-analysis
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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Creator backlink kit
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[](https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis/audit)
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kostja94
@kostja94
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "traffic-analysis" agent skill from https://github.com/kostja94/marketing-skills/tree/main/skills/analytics/sources/traffic. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic." For GA4 setup, use analytics-tracking. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"kostja94-traffic-analysis","task":"Install traffic-analysis","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kostja94/marketing-skills --skill traffic-analysis
Maintenance
active
3mo since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
946
70/100 Quality · 79/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
946 GitHub stars
Repo activity
946 stars, 130 forks
Maintenance
3mo since push
License
MIT
Install
npx skills add kostja94/marketing-skills --skill traffic-analysis
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add kostja94/marketing-skills --skill traffic-analysisDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kostja94-traffic-analysis/install
Agent should check
Copy prompt
Task: Use traffic-analysis in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kostja94-traffic-analysis/install
Install command: npx skills add kostja94/marketing-skills --skill traffic-analysis
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/kostja94-traffic-analysis/install
LLM text format
/api/skills/kostja94-traffic-analysis/install?format=text
Find alternatives
/api/skills/search?q=traffic-analysis&limit=3
Agent prompt
Use traffic-analysis for this task. Review https://www.openagentskill.com/api/skills/kostja94-traffic-analysis/install, then install with: npx skills add kostja94/marketing-skills --skill traffic-analysisRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/kostja94-traffic-analysis
LLM text
/api/registry/manifest/kostja94-traffic-analysis?format=text
Install alias
/api/registry/install/kostja94-traffic-analysis
Recommend
/api/registry/recommend?task=Use%20traffic-analysis%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO946 GitHub stars
Stars/forks activity
INFO946 stars, 130 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Grow distribution
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: traffic-analysis description: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic." For GA4 setup, use analytics-tracking. metadata: version: 1.1.1 ---
# Analytics: Traffic
Guides website traffic analysis across all channels (organic, paid, social, referral, direct). Covers traffic source attribution, dark traffic identification, and multi-channel reporting.
**When invoking**: On **first use**, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output.
## Scope
- **Traffic sources**: Organic, paid, social, referral, direct, email - **Dark traffic**: Unattributed visits labeled as "Direct / None" - **Attribution**: UTM tagging, segmenting, reporting accuracy
## Branded vs. Non-Branded Traffic (Organic)
| Type | Characteristics | |------|-----------------| | **Branded** | Higher CTR, conversion, purchase intent; users closer to funnel bottom | | **Non-branded** | Touchpoint with future users; most sites get more non-brand traffic; competition fiercer |
Brand traffic grows over time as brand awareness increases.
## Bot Traffic
A large share of traffic can be **bot traffic**—RPA, search crawlers, spiders, scrapers. Exclude or segment when evaluating real user behavior; use GA4 filters or segments to isolate human traffic.
## Traffic Channels
| Channel | Typical Sources | Attribution | |---------|-----------------|-------------| | **Organic** | Google, Bing, other search | Referrer preserved | | **Paid (web)** | Google Ads, Meta Ads, etc. | UTM required | | **Paid (app)** | App install ads; Google App Campaigns, Apple Search Ads | UTM; in-app events | | **Paid (TV/CTV)** | Streaming ads; Hulu, Roku, YouTube TV | UTM for QR/URL; brand lift | | **Social** | Public posts (Facebook, LinkedIn, etc.) | Often preserved | | **Referral** | External sites, backlinks | Referrer preserved | | **Direct** | Typed URL, bookmarks | No referrer | | **Email** | Newsletters, campaigns | Often dark without UTM |
## Dark Traffic
### What It Is
Traffic without clear origin--analytics tools default to "Direct" when referrer is missing. Common causes:
- **Private/dark social**: WhatsApp, Messenger, Slack, Discord, TikTok shares - **Email clients**: Many strip referrer headers - **HTTPS->HTTP**: Referrer not passed - **Mobile apps**: In-app browsers often omit referrer - **Ad blockers, privacy tools**: Block tracking
### Misattribution (Research)
When traffic was sent from known sources, analytics often misattributed:
- **100% as direct**: TikTok, Slack, Discord, WhatsApp, Mastodon - **75%**: Facebook Messenger - **30%**: Instagram DMs - **14%**: LinkedIn public posts - **12%**: Pinterest
### Mitigation
| Action | Purpose | |--------|---------| | **UTM parameters** | Tag links in emails, social, campaigns: `?utm_source=X&utm_medium=Y&utm_campaign=Z` | | **Block internal IPs** | Exclude company visits from reports | | **Segment direct traffic** | Split by page type to estimate dark vs. genuine direct |
### Segmenting Direct Traffic
1. **Expected direct**: Homepage, short URLs, brand pages--likely real direct 2. **Unexpected direct**: Long URLs, deep pages, product pages--likely dark traffic 3. **Report separately**: Use segments in GA4/analytics to avoid overcounting direct
## Attribution for Channel Optimization
Ads, growth channels, and medium can be optimized by viewing **attribution data**. Clean UTM + conversion tracking feeds attribution models; reliable attribution drives budget allocation and channel decisions.
| Use | Action | |-----|--------| | **Optimize ads** | Compare paid channels (Google, Meta, LinkedIn) by attributed conversions; reallocate budget to winners | | **Optimize growth channels** | Identify which medium (cpc, email, social, referral) drives conversions; scale what works | | **Multi-touch attribution** | Requires clean UTM data; inconsistent tagging (e.g., `facebook` vs `Facebook`) fragments reports and misattributes |
**GA4 Default Channel Grouping**: Align `utm_medium` and `utm_source` with [GA4's rules](https://support.google.com/analytics/answer/9756891) to avoid "Unassigned" traffic. ~30% of campaigns lack proper UTM markup, leading to wasted ad spend; teams standardizing UTM see 29% improvement in attribution accuracy.
**Reference**: [UTM.io – utm_medium, utm_campaign & utm_source Optimization](https://web.utm.io/blog/utm_medium-utm_campaign-utm_source/), [UTMs for Marketing Attribution](https://web.utm.io/blog/utms-for-marketing-attribution/)
## UTM Best Practices
| Parameter | Use | Example | |-----------|-----|---------| | `utm_source` | Origin | `newsletter`, `facebook`, `google` | | `utm_medium` | Channel type | `email`, `cpc`, `social` | | `utm_campaign` | Campaign name | `summer_sale`, `product_launch` | | `utm_content` | Variant (optional) | `banner_a`, `cta_button` | | `utm_term` | Paid keyword (optional) | `running_shoes` |
**GA4 alignment** (avoid Unassigned):
| Channel | utm_medium | utm_source | |---------|------------|------------| | Paid Search | `cpc` | `google`, `bing` | | Paid Social | `paid-social`, `cpc` | `facebook`, `instagram` | | Email | `email` | `newsletter`, `mailchimp` | | Organic Social | `social` | `twitter`, `linkedin` | | App install | `cpc`, `app` | `google`, `facebook`, `apple` | | CTV / Streaming | `video`, `ctv` | `hulu`, `roku`, `youtube` | | Display / Banner | `display`, `cpc` | Publisher or network name | | Directory ads | `paid`, `cpc` | `taaft`, `shopify`, `g2`, `capterra` |
- **Consistent naming**: Lowercase, hyphens; document conventions; never tag internal links (overwrites session attribution) - **Apply everywhere**: Every link in emails, social posts, ads - **Avoid**: Typos, inconsistent values; causes fragmentation
## Traffic Diversification
| Principle | Guideline | |-----------|-----------| | **Search share** | Keep organic search below ~75% of total traffic | | **Health** | Higher direct + referral share = healthier profile | | **Brand sites** | Diversified traffic is common for strong brands | | **Engagement** | Content, email, social, free tools drive return visits |
See **seo-monitoring** for full SEO data analysis framework.
## Natural Traffic Benchmark
**Location**: GA4 > Reports > Acquisition > Traffic acquisition
1. Review organic traffic trend 2. Record baseline (e.g., monthly total) 3. Compare periodically to detect growth or decline
## Output Format
- **Traffic source** breakdown - **Dark traffic** estimate and actions - **UTM** tagging recommendations - **Segmentation** approach for reporting
## Related Skills
- **analytics-tracking**: Implement UTM, events, conversions; attribution models - **google-ads, paid-ads-strategy**: Paid channels; attribution informs budget allocation - **ai-traffic-tracking**: AI search traffic - **google-search-console**: GSC performance and indexing analysis - **seo-monitoring**: Full SEO data analysis system, benchmark, article database - **email-marketing**: Email strategy; UTM for email links
Source provenance
Decision snapshot
946 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for traffic-analysis, ready for a manual X post.
traffic-analysis: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also us... 946 stars https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=x
Listing + install path for traffic-analysis: https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=x Install: npx skills add kostja94/marketing-skills --skill traffic-analysis
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kostja94 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis/audit)
[](https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kostja94
@kostja94
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "traffic-analysis" agent skill from https://github.com/kostja94/marketing-skills/tree/main/skills/analytics/sources/traffic. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic." For GA4 setup, use analytics-tracking. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"kostja94-traffic-analysis","task":"Install traffic-analysis","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kostja94/marketing-skills --skill traffic-analysis
Maintenance
active
3mo since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
946
70/100 Quality · 79/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
946 GitHub stars
Repo activity
946 stars, 130 forks
Maintenance
3mo since push
License
MIT
Install
npx skills add kostja94/marketing-skills --skill traffic-analysis
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add kostja94/marketing-skills --skill traffic-analysisDo not use when
Alternative
1.9K Stars
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Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
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Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kostja94-traffic-analysis/install
Agent should check
Copy prompt
Task: Use traffic-analysis in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20traffic-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kostja94-traffic-analysis/install
Install command: npx skills add kostja94/marketing-skills --skill traffic-analysis
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/kostja94-traffic-analysis/install
LLM text format
/api/skills/kostja94-traffic-analysis/install?format=text
Find alternatives
/api/skills/search?q=traffic-analysis&limit=3
Agent prompt
Use traffic-analysis for this task. Review https://www.openagentskill.com/api/skills/kostja94-traffic-analysis/install, then install with: npx skills add kostja94/marketing-skills --skill traffic-analysisRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/kostja94-traffic-analysis
LLM text
/api/registry/manifest/kostja94-traffic-analysis?format=text
Install alias
/api/registry/install/kostja94-traffic-analysis
Recommend
/api/registry/recommend?task=Use%20traffic-analysis%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO946 GitHub stars
Stars/forks activity
INFO946 stars, 130 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Grow distribution
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: traffic-analysis description: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic." For GA4 setup, use analytics-tracking. metadata: version: 1.1.1 ---
# Analytics: Traffic
Guides website traffic analysis across all channels (organic, paid, social, referral, direct). Covers traffic source attribution, dark traffic identification, and multi-channel reporting.
**When invoking**: On **first use**, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output.
## Scope
- **Traffic sources**: Organic, paid, social, referral, direct, email - **Dark traffic**: Unattributed visits labeled as "Direct / None" - **Attribution**: UTM tagging, segmenting, reporting accuracy
## Branded vs. Non-Branded Traffic (Organic)
| Type | Characteristics | |------|-----------------| | **Branded** | Higher CTR, conversion, purchase intent; users closer to funnel bottom | | **Non-branded** | Touchpoint with future users; most sites get more non-brand traffic; competition fiercer |
Brand traffic grows over time as brand awareness increases.
## Bot Traffic
A large share of traffic can be **bot traffic**—RPA, search crawlers, spiders, scrapers. Exclude or segment when evaluating real user behavior; use GA4 filters or segments to isolate human traffic.
## Traffic Channels
| Channel | Typical Sources | Attribution | |---------|-----------------|-------------| | **Organic** | Google, Bing, other search | Referrer preserved | | **Paid (web)** | Google Ads, Meta Ads, etc. | UTM required | | **Paid (app)** | App install ads; Google App Campaigns, Apple Search Ads | UTM; in-app events | | **Paid (TV/CTV)** | Streaming ads; Hulu, Roku, YouTube TV | UTM for QR/URL; brand lift | | **Social** | Public posts (Facebook, LinkedIn, etc.) | Often preserved | | **Referral** | External sites, backlinks | Referrer preserved | | **Direct** | Typed URL, bookmarks | No referrer | | **Email** | Newsletters, campaigns | Often dark without UTM |
## Dark Traffic
### What It Is
Traffic without clear origin--analytics tools default to "Direct" when referrer is missing. Common causes:
- **Private/dark social**: WhatsApp, Messenger, Slack, Discord, TikTok shares - **Email clients**: Many strip referrer headers - **HTTPS->HTTP**: Referrer not passed - **Mobile apps**: In-app browsers often omit referrer - **Ad blockers, privacy tools**: Block tracking
### Misattribution (Research)
When traffic was sent from known sources, analytics often misattributed:
- **100% as direct**: TikTok, Slack, Discord, WhatsApp, Mastodon - **75%**: Facebook Messenger - **30%**: Instagram DMs - **14%**: LinkedIn public posts - **12%**: Pinterest
### Mitigation
| Action | Purpose | |--------|---------| | **UTM parameters** | Tag links in emails, social, campaigns: `?utm_source=X&utm_medium=Y&utm_campaign=Z` | | **Block internal IPs** | Exclude company visits from reports | | **Segment direct traffic** | Split by page type to estimate dark vs. genuine direct |
### Segmenting Direct Traffic
1. **Expected direct**: Homepage, short URLs, brand pages--likely real direct 2. **Unexpected direct**: Long URLs, deep pages, product pages--likely dark traffic 3. **Report separately**: Use segments in GA4/analytics to avoid overcounting direct
## Attribution for Channel Optimization
Ads, growth channels, and medium can be optimized by viewing **attribution data**. Clean UTM + conversion tracking feeds attribution models; reliable attribution drives budget allocation and channel decisions.
| Use | Action | |-----|--------| | **Optimize ads** | Compare paid channels (Google, Meta, LinkedIn) by attributed conversions; reallocate budget to winners | | **Optimize growth channels** | Identify which medium (cpc, email, social, referral) drives conversions; scale what works | | **Multi-touch attribution** | Requires clean UTM data; inconsistent tagging (e.g., `facebook` vs `Facebook`) fragments reports and misattributes |
**GA4 Default Channel Grouping**: Align `utm_medium` and `utm_source` with [GA4's rules](https://support.google.com/analytics/answer/9756891) to avoid "Unassigned" traffic. ~30% of campaigns lack proper UTM markup, leading to wasted ad spend; teams standardizing UTM see 29% improvement in attribution accuracy.
**Reference**: [UTM.io – utm_medium, utm_campaign & utm_source Optimization](https://web.utm.io/blog/utm_medium-utm_campaign-utm_source/), [UTMs for Marketing Attribution](https://web.utm.io/blog/utms-for-marketing-attribution/)
## UTM Best Practices
| Parameter | Use | Example | |-----------|-----|---------| | `utm_source` | Origin | `newsletter`, `facebook`, `google` | | `utm_medium` | Channel type | `email`, `cpc`, `social` | | `utm_campaign` | Campaign name | `summer_sale`, `product_launch` | | `utm_content` | Variant (optional) | `banner_a`, `cta_button` | | `utm_term` | Paid keyword (optional) | `running_shoes` |
**GA4 alignment** (avoid Unassigned):
| Channel | utm_medium | utm_source | |---------|------------|------------| | Paid Search | `cpc` | `google`, `bing` | | Paid Social | `paid-social`, `cpc` | `facebook`, `instagram` | | Email | `email` | `newsletter`, `mailchimp` | | Organic Social | `social` | `twitter`, `linkedin` | | App install | `cpc`, `app` | `google`, `facebook`, `apple` | | CTV / Streaming | `video`, `ctv` | `hulu`, `roku`, `youtube` | | Display / Banner | `display`, `cpc` | Publisher or network name | | Directory ads | `paid`, `cpc` | `taaft`, `shopify`, `g2`, `capterra` |
- **Consistent naming**: Lowercase, hyphens; document conventions; never tag internal links (overwrites session attribution) - **Apply everywhere**: Every link in emails, social posts, ads - **Avoid**: Typos, inconsistent values; causes fragmentation
## Traffic Diversification
| Principle | Guideline | |-----------|-----------| | **Search share** | Keep organic search below ~75% of total traffic | | **Health** | Higher direct + referral share = healthier profile | | **Brand sites** | Diversified traffic is common for strong brands | | **Engagement** | Content, email, social, free tools drive return visits |
See **seo-monitoring** for full SEO data analysis framework.
## Natural Traffic Benchmark
**Location**: GA4 > Reports > Acquisition > Traffic acquisition
1. Review organic traffic trend 2. Record baseline (e.g., monthly total) 3. Compare periodically to detect growth or decline
## Output Format
- **Traffic source** breakdown - **Dark traffic** estimate and actions - **UTM** tagging recommendations - **Segmentation** approach for reporting
## Related Skills
- **analytics-tracking**: Implement UTM, events, conversions; attribution models - **google-ads, paid-ads-strategy**: Paid channels; attribution informs budget allocation - **ai-traffic-tracking**: AI search traffic - **google-search-console**: GSC performance and indexing analysis - **seo-monitoring**: Full SEO data analysis system, benchmark, article database - **email-marketing**: Email strategy; UTM for email links
Source provenance
Decision snapshot
946 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for traffic-analysis, ready for a manual X post.
traffic-analysis: When the user wants to analyze website traffic sources, attribution, or dark traffic. Also us... 946 stars https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=x
Listing + install path for traffic-analysis: https://www.openagentskill.com/skills/kostja94-traffic-analysis?ref=x Install: npx skills add kostja94/marketing-skills --skill traffic-analysis
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kostja94 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
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Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness