ads-audience

Name: ads-audience
Author: zubair-trabzada

200stars85forks

How to install ads-audience?

zubair-trabzada/ai-ads-claude/ads-audience

$npx -y skills add zubair-trabzada/ai-ads-claude --skill ads-audience

Installs into the current project.

Summary

Builds 5-7 detailed audience personas from a URL with demographics, psychographics, pain points, buying triggers, platform-specific targeting parameters, persona scoring, and negative audiences

Files · 1

View on GitHub

SKILL.md

1	# Audience Persona Builder
2
3	## Skill Purpose
4	Build 5-7 hyper-detailed audience personas from a business URL. Each persona goes far beyond basic demographics — it maps psychographic profiles, buying triggers, objections, content consumption habits, platform presence, and ready-to-use targeting parameters for Meta, Google, LinkedIn, TikTok, and Pinterest. Includes persona relevance scoring (1-5) and a negative audience section defining who NOT to target. Produces a single, copy-paste-ready deliverable that an ad buyer can immediately use to build campaigns.
5
6	## When to Use
7	- User runs `/ads audience <url>`
8	- User asks to build audience personas, customer profiles, or targeting research
9	- Called as a subagent from `/ads strategy` (the main orchestrator)
10	- User wants to know "who should I target?" for a business
11	- User needs platform-specific targeting parameters for campaign setup
12
13	## Input Requirements
14	- Required: A business URL to analyze
15	- Optional: Industry context, existing customer data, geographic focus, budget range
16
17	## How to Execute
18
19	### Step 1: Business Intelligence Gathering
20
21	Fetch the business URL using `WebFetch` and extract:
22
23	\| Data Point \| Where to Find \|
24	\|---\|---\|
25	\| Business name \| Page title, logo, about page \|
26	\| Industry/category \| Services offered, product types \|
27	\| Value proposition \| Hero section, tagline, about page \|
28	\| Price positioning \| Pricing page, product prices, "starting at" language \|
29	\| Geographic focus \| Service areas, locations, shipping info \|
30	\| Current customers \| Testimonials, case studies, reviews \|
31	\| Product/service types \| Product pages, service descriptions \|
32	\| Brand tone \| Copy style, imagery, color palette \|
33	\| Trust signals \| Certifications, awards, years in business, client logos \|
34	\| Content topics \| Blog posts, resources, FAQ sections \|
35
36	Run supplementary searches:
37
38	```
39	WebSearch: "[Business Name]" reviews
40	WebSearch: "[Business Name]" customers testimonials
41	WebSearch: "[Industry]" target audience demographics
42	WebSearch: "[Industry]" buyer persona research 2025
43	WebSearch: "[Competitor]" "who buys" OR "target market" OR "customer profile"
44	```
45
46	### Step 2: Industry Audience Intelligence
47
48	Based on the detected industry, pull standard audience benchmarks:
49
50	SaaS/Software:
51	- Decision makers: CTOs, VPs Engineering, Product Managers, IT Directors
52	- Influencers: Individual contributors who discover tools
53	- Budget holders: CFOs, COOs, department heads
54	- Research behavior: G2 reviews, Product Hunt, Reddit, comparison articles
55
56	E-commerce:
57	- Impulse buyers vs. researchers
58	- Price-sensitive vs. quality-focused segments
59	- Brand loyal vs. deal hunters
60	- Social commerce behavior: Instagram shops, TikTok shop, Pinterest
61
62	Local Services:
63	- Emergency/urgent need buyers
64	- Planned purchase/project buyers
65	- Referral-driven customers
66	- Neighborhood/community-oriented segments
67
68	Agency/Professional Services:
69	- Decision timeline: 30-90 day sales cycles
70	- Committee buyers vs. solo decision makers
71	- Budget-constrained vs. ROI-focused
72	- Relationship-driven vs. results-driven
73
74	Creator/Course:
75	- Aspiration-driven buyers
76	- Career changers vs. skill upgraders
77	- DIY vs. guided learning preference
78	- Community seekers vs. content consumers
79
80	### Step 3: Build Persona Profiles
81
82	Build 5-7 personas following this exact structure for each:
83
84	---
85
86	#### Persona Template
87
88	```markdown
89	### Persona [Number]: [Persona Name] — "[Memorable Tagline]"
90
91	Relevance Score: [1-5 stars] ★★★★☆
92	Revenue Potential: [Low / Medium / High / Very High]
93	Estimated Audience Size: [Small / Medium / Large]
94	Acquisition Difficulty: [Easy / Moderate / Hard]
95	Recommended Priority: [Primary / Secondary / Tertiary]
96
97	---
98
99	#### Demographics
100	\| Attribute \| Detail \|
101	\|---\|---\|
102	\| Age range \| [range] \|
103	\| Gender split \| [percentage breakdown] \|
104	\| Income level \| [range and bracket] \|
105	\| Education \| [level] \|
106	\| Job titles \| [3-5 specific titles] \|
107	\| Company size \| [employee range or N/A] \|
108	\| Location type \| [urban/suburban/rural + specific geos if applicable] \|
109	\| Family status \| [single/married/parent + relevance] \|
110	\| Device usage \| [mobile-first / desktop-heavy / multi-device] \|
111
112	#### Psychographics
113	\| Attribute \| Detail \|
114	\|---\|---\|
115	\| Core values \| [3-4 values] \|
116	\| Aspirations \| [what they want to become/achieve] \|
117	\| Fears \| [what keeps them up at night] \|
118	\| Identity \| [how they see themselves] \|
119	\| Decision style \| [analytical/emotional/social proof/authority-driven] \|
120	\| Brand affinities \| [brands they already buy from] \|
121	\| Media consumption \| [podcasts, YouTube channels, newsletters, blogs] \|
122	\| Social behavior \| [lurker/engager/creator + which platforms] \|
123
124	#### Pain Points (ranked by intensity)
125	1. [Pain Point 1] — [1-2 sentence description of the pain and i

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Type

ads-audience

200stars85forks

View on GitHub

How to install ads-audience?

zubair-trabzada/ai-ads-claude/ads-audience

$npx -y skills add zubair-trabzada/ai-ads-claude --skill ads-audience

Installs into the current project.

Summary

Builds 5-7 detailed audience personas from a URL with demographics, psychographics, pain points, buying triggers, platform-specific targeting parameters, persona scoring, and negative audiences

Files · 1

View on GitHub

SKILL.md

1	# Audience Persona Builder
2
3	## Skill Purpose
4	Build 5-7 hyper-detailed audience personas from a business URL. Each persona goes far beyond basic demographics — it maps psychographic profiles, buying triggers, objections, content consumption habits, platform presence, and ready-to-use targeting parameters for Meta, Google, LinkedIn, TikTok, and Pinterest. Includes persona relevance scoring (1-5) and a negative audience section defining who NOT to target. Produces a single, copy-paste-ready deliverable that an ad buyer can immediately use to build campaigns.
5
6	## When to Use
7	- User runs `/ads audience <url>`
8	- User asks to build audience personas, customer profiles, or targeting research
9	- Called as a subagent from `/ads strategy` (the main orchestrator)
10	- User wants to know "who should I target?" for a business
11	- User needs platform-specific targeting parameters for campaign setup
12
13	## Input Requirements
14	- Required: A business URL to analyze
15	- Optional: Industry context, existing customer data, geographic focus, budget range
16
17	## How to Execute
18
19	### Step 1: Business Intelligence Gathering
20
21	Fetch the business URL using `WebFetch` and extract:
22
23	\| Data Point \| Where to Find \|
24	\|---\|---\|
25	\| Business name \| Page title, logo, about page \|
26	\| Industry/category \| Services offered, product types \|
27	\| Value proposition \| Hero section, tagline, about page \|
28	\| Price positioning \| Pricing page, product prices, "starting at" language \|
29	\| Geographic focus \| Service areas, locations, shipping info \|
30	\| Current customers \| Testimonials, case studies, reviews \|
31	\| Product/service types \| Product pages, service descriptions \|
32	\| Brand tone \| Copy style, imagery, color palette \|
33	\| Trust signals \| Certifications, awards, years in business, client logos \|
34	\| Content topics \| Blog posts, resources, FAQ sections \|
35
36	Run supplementary searches:
37
38	```
39	WebSearch: "[Business Name]" reviews
40	WebSearch: "[Business Name]" customers testimonials
41	WebSearch: "[Industry]" target audience demographics
42	WebSearch: "[Industry]" buyer persona research 2025
43	WebSearch: "[Competitor]" "who buys" OR "target market" OR "customer profile"
44	```
45
46	### Step 2: Industry Audience Intelligence
47
48	Based on the detected industry, pull standard audience benchmarks:
49
50	SaaS/Software:
51	- Decision makers: CTOs, VPs Engineering, Product Managers, IT Directors
52	- Influencers: Individual contributors who discover tools
53	- Budget holders: CFOs, COOs, department heads
54	- Research behavior: G2 reviews, Product Hunt, Reddit, comparison articles
55
56	E-commerce:
57	- Impulse buyers vs. researchers
58	- Price-sensitive vs. quality-focused segments
59	- Brand loyal vs. deal hunters
60	- Social commerce behavior: Instagram shops, TikTok shop, Pinterest
61
62	Local Services:
63	- Emergency/urgent need buyers
64	- Planned purchase/project buyers
65	- Referral-driven customers
66	- Neighborhood/community-oriented segments
67
68	Agency/Professional Services:
69	- Decision timeline: 30-90 day sales cycles
70	- Committee buyers vs. solo decision makers
71	- Budget-constrained vs. ROI-focused
72	- Relationship-driven vs. results-driven
73
74	Creator/Course:
75	- Aspiration-driven buyers
76	- Career changers vs. skill upgraders
77	- DIY vs. guided learning preference
78	- Community seekers vs. content consumers
79
80	### Step 3: Build Persona Profiles
81
82	Build 5-7 personas following this exact structure for each:
83
84	---
85
86	#### Persona Template
87
88	```markdown
89	### Persona [Number]: [Persona Name] — "[Memorable Tagline]"
90
91	Relevance Score: [1-5 stars] ★★★★☆
92	Revenue Potential: [Low / Medium / High / Very High]
93	Estimated Audience Size: [Small / Medium / Large]
94	Acquisition Difficulty: [Easy / Moderate / Hard]
95	Recommended Priority: [Primary / Secondary / Tertiary]
96
97	---
98
99	#### Demographics
100	\| Attribute \| Detail \|
101	\|---\|---\|
102	\| Age range \| [range] \|
103	\| Gender split \| [percentage breakdown] \|
104	\| Income level \| [range and bracket] \|
105	\| Education \| [level] \|
106	\| Job titles \| [3-5 specific titles] \|
107	\| Company size \| [employee range or N/A] \|
108	\| Location type \| [urban/suburban/rural + specific geos if applicable] \|
109	\| Family status \| [single/married/parent + relevance] \|
110	\| Device usage \| [mobile-first / desktop-heavy / multi-device] \|
111
112	#### Psychographics
113	\| Attribute \| Detail \|
114	\|---\|---\|
115	\| Core values \| [3-4 values] \|
116	\| Aspirations \| [what they want to become/achieve] \|
117	\| Fears \| [what keeps them up at night] \|
118	\| Identity \| [how they see themselves] \|
119	\| Decision style \| [analytical/emotional/social proof/authority-driven] \|
120	\| Brand affinities \| [brands they already buy from] \|
121	\| Media consumption \| [podcasts, YouTube channels, newsletters, blogs] \|
122	\| Social behavior \| [lurker/engager/creator + which platforms] \|
123
124	#### Pain Points (ranked by intensity)
125	1. [Pain Point 1] — [1-2 sentence description of the pain and i

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6 picks

Type