traffic-analyzer

Name: traffic-analyzer
Author: Affitor

2installs184forks

How to install traffic-analyzer?

affitor/affiliate-skills/traffic-analyzer

$npx -y skills add Affitor/affiliate-skills --skill traffic-analyzer

Installs into the current project.

Summary

Analyze website traffic, global rank, engagement metrics, and traffic sources for any domain. Use this skill to evaluate affiliate program websites, compare competitor traffic, assess advertiser strength, or understand where an audience comes from. Triggers on: "analyze traffic f

Files · 1

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SKILL.md

1	# Traffic Analyzer
2
3	Analyze website traffic, engagement, and traffic sources for any domain. Goes beyond
4	raw data — scores the domain, interprets what the traffic patterns mean for affiliate
5	promotion, and recommends whether the program is worth your time.
6
7	A tool returns numbers. This skill returns a verdict.
8
9	Use cases:
10	- Is this affiliate program's website healthy? (High traffic = more brand awareness = easier conversions)
11	- Where does a competitor get their traffic? (Find channels they're ignoring)
12	- Compare 2-3 affiliate programs by advertiser website strength
13	- Validate a niche by checking traffic to the top programs in it
14
15	## Stage
16
17	This skill belongs to Stage S1: Research
18
19	## When to Use
20
21	- Before committing to promote an affiliate program — check if the advertiser is legit
22	- When comparing multiple programs — traffic is a proxy for brand strength
23	- When `competitor-spy` identifies competitor sites — analyze their traffic sources
24	- When evaluating a niche — check if the top programs have healthy traffic
25	- When an advertiser claims "millions of users" — verify with data
26
27	## Input Schema
28
29	```yaml
30	domains: string[] # (required) 1-5 domains to analyze — "heygen.com", "synthesia.io"
31	compare: boolean # (optional, default: true if 2+ domains) Side-by-side comparison
32	focus: string # (optional, default: "affiliate")
33	# "affiliate" — score from promoter perspective
34	# "competitor" — analyze as a competitor site
35	# "advertiser" — evaluate advertiser health
36	```
37
38	## Workflow
39
40	### Step 1: Gather Traffic Data
41
42	With SimilarWeb API (see `shared/references/social-data-providers.md`):
43
44	If `social_data_config.similarweb` is configured:
45	- Call SimilarWeb API for each domain
46	- Returns: global rank, country rank, visits, pages/visit, avg duration, bounce rate, traffic sources
47
48	Without API (web_search fallback):
49
50	For each domain:
51	1. `web_search "[domain] traffic similarweb"` → often shows rank and visit estimates in snippets
52	2. `web_search "[domain] site traffic statistics"` → third-party reports
53	3. `web_search "site:[domain]"` → Google index count as proxy for content depth
54	4. `web_search "[domain] alexa rank"` OR `"[domain] semrush traffic"` → alternative sources
55	5. `web_fetch "https://www.similarweb.com/website/[domain]/"` → extract visible data from SimilarWeb free page (may be limited)
56
57	Note: web_search data is approximate. SimilarWeb API provides exact metrics.
58
59	### Step 2: Analyze Core Metrics
60
61	For each domain, analyze and interpret:
62
63	Traffic Volume:
64	```yaml
65	global_rank: number # Lower = better. <10K = major site, <100K = solid, <1M = niche
66	country_rank: number # Rank in primary country
67	monthly_visits: string # "1.2M", "350K", "45K"
68	visits_trend: string # "growing" \| "stable" \| "declining" (if historical data available)
69	```
70
71	Engagement Quality:
72	```yaml
73	pages_per_visit: number # >3 = good engagement, <2 = bouncy
74	avg_visit_duration: string # ">3 min" = engaged, "<1 min" = low quality
75	bounce_rate: number # <40% = excellent, 40-60% = normal, >60% = concerning
76	```
77
78	Traffic Sources Breakdown:
79	```yaml
80	direct: number # % — brand strength indicator
81	search: number # % — SEO strength
82	social: number # % — social media presence
83	referral: number # % — partnership/affiliate ecosystem
84	paid: number # % — ad spend (high paid = advertiser invests in acquisition)
85	```
86
87	### Step 3: Interpret for Use Case
88
89	For affiliate promoters (`focus: "affiliate"`):
90
91	Score the domain as an affiliate promotion target:
92
93	\| Signal \| Good (8-10) \| OK (5-7) \| Red Flag (1-4) \|
94	\|--------\|-------------\|----------\|-----------------\|
95	\| Monthly visits \| >500K \| 50K-500K \| <50K \|

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traffic-analyzer

2installs184forks

View on GitHub

How to install traffic-analyzer?

affitor/affiliate-skills/traffic-analyzer

$npx -y skills add Affitor/affiliate-skills --skill traffic-analyzer

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Traffic Analyzer
2
3	Analyze website traffic, engagement, and traffic sources for any domain. Goes beyond
4	raw data — scores the domain, interprets what the traffic patterns mean for affiliate
5	promotion, and recommends whether the program is worth your time.
6
7	A tool returns numbers. This skill returns a verdict.
8
9	Use cases:
10	- Is this affiliate program's website healthy? (High traffic = more brand awareness = easier conversions)
11	- Where does a competitor get their traffic? (Find channels they're ignoring)
12	- Compare 2-3 affiliate programs by advertiser website strength
13	- Validate a niche by checking traffic to the top programs in it
14
15	## Stage
16
17	This skill belongs to Stage S1: Research
18
19	## When to Use
20
21	- Before committing to promote an affiliate program — check if the advertiser is legit
22	- When comparing multiple programs — traffic is a proxy for brand strength
23	- When `competitor-spy` identifies competitor sites — analyze their traffic sources
24	- When evaluating a niche — check if the top programs have healthy traffic
25	- When an advertiser claims "millions of users" — verify with data
26
27	## Input Schema
28
29	```yaml
30	domains: string[] # (required) 1-5 domains to analyze — "heygen.com", "synthesia.io"
31	compare: boolean # (optional, default: true if 2+ domains) Side-by-side comparison
32	focus: string # (optional, default: "affiliate")
33	# "affiliate" — score from promoter perspective
34	# "competitor" — analyze as a competitor site
35	# "advertiser" — evaluate advertiser health
36	```
37
38	## Workflow
39
40	### Step 1: Gather Traffic Data
41
42	With SimilarWeb API (see `shared/references/social-data-providers.md`):
43
44	If `social_data_config.similarweb` is configured:
45	- Call SimilarWeb API for each domain
46	- Returns: global rank, country rank, visits, pages/visit, avg duration, bounce rate, traffic sources
47
48	Without API (web_search fallback):
49
50	For each domain:
51	1. `web_search "[domain] traffic similarweb"` → often shows rank and visit estimates in snippets
52	2. `web_search "[domain] site traffic statistics"` → third-party reports
53	3. `web_search "site:[domain]"` → Google index count as proxy for content depth
54	4. `web_search "[domain] alexa rank"` OR `"[domain] semrush traffic"` → alternative sources
55	5. `web_fetch "https://www.similarweb.com/website/[domain]/"` → extract visible data from SimilarWeb free page (may be limited)
56
57	Note: web_search data is approximate. SimilarWeb API provides exact metrics.
58
59	### Step 2: Analyze Core Metrics
60
61	For each domain, analyze and interpret:
62
63	Traffic Volume:
64	```yaml
65	global_rank: number # Lower = better. <10K = major site, <100K = solid, <1M = niche
66	country_rank: number # Rank in primary country
67	monthly_visits: string # "1.2M", "350K", "45K"
68	visits_trend: string # "growing" \| "stable" \| "declining" (if historical data available)
69	```
70
71	Engagement Quality:
72	```yaml
73	pages_per_visit: number # >3 = good engagement, <2 = bouncy
74	avg_visit_duration: string # ">3 min" = engaged, "<1 min" = low quality
75	bounce_rate: number # <40% = excellent, 40-60% = normal, >60% = concerning
76	```
77
78	Traffic Sources Breakdown:
79	```yaml
80	direct: number # % — brand strength indicator
81	search: number # % — SEO strength
82	social: number # % — social media presence
83	referral: number # % — partnership/affiliate ecosystem
84	paid: number # % — ad spend (high paid = advertiser invests in acquisition)
85	```
86
87	### Step 3: Interpret for Use Case
88
89	For affiliate promoters (`focus: "affiliate"`):
90
91	Score the domain as an affiliate promotion target:
92
93	\| Signal \| Good (8-10) \| OK (5-7) \| Red Flag (1-4) \|
94	\|--------\|-------------\|----------\|-----------------\|
95	\| Monthly visits \| >500K \| 50K-500K \| <50K \|

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