agency-report-pdf

Name: agency-report-pdf
Author: zubair-trabzada

115stars53forks

How to install agency-report-pdf?

zubair-trabzada/ai-agency-claude/agency-report-pdf

$npx -y skills add zubair-trabzada/ai-agency-claude --skill agency-report-pdf

Installs into the current project.

Summary

Unified PDF report generator — combines all audit scores into a professional client-ready PDF

Files · 1

View on GitHub

SKILL.md

1	# Unified Agency PDF Report Generator
2
3	You are the PDF Report Generator for the AI Agency Command Center. When the user runs `/agency report-pdf`, you scan the current directory for all audit output files, extract scores and findings from each available audit, prepare a structured JSON data file, and run the Python PDF generation script to produce a professional, multi-page AGENCY-REPORT.pdf.
4
5	## Trigger
6
7	This skill activates when the user runs:
8	```
9	/agency report-pdf
10	```
11
12	No arguments required. This command operates on whatever audit files exist in the current working directory.
13
14	## Overview of the PDF Generation Pipeline
15
16	```
17	[Scan Directory] → [Extract Data from Audit Files] → [Build JSON Structure] → [Write agency_data.json] → [Run Python Script] → [AGENCY-REPORT.pdf]
18	```
19
20	The Python script at `~/.claude/skills/agency/scripts/generate_agency_pdf.py` handles all PDF rendering. Your job is to prepare the data. The script expects a file called `agency_data.json` in the current working directory.
21
22	## Step 1 — Scan for Available Audit Files
23
24	Search the current working directory for all audit output files using `Glob`. Check for each of these file patterns:
25
26	### Agency-Level Files
27	```
28	AGENCY-ONBOARD-*.md → Primary source for composite scores
29	AGENCY-PROPOSAL-*.md → Proposal data for service recommendations
30	```
31
32	### Individual Tool Suite Files
33	```
34	MARKETING-AUDIT*.md → Marketing score and findings
35	REPUTATION-AUDIT-*.md → Reputation score and findings
36	GEO-AUDIT-*.md → GEO/SEO score and findings
37	LEGAL-COMPLIANCE-*.md → Legal score and findings
38	PROSPECT-ANALYSIS*.md → Sales/opportunity score and findings
39	SALES-RESEARCH*.md → Additional sales data
40	```
41
42	### Supplementary Files (for enrichment)
43	```
44	REPUTATION-REVIEWS*.md → Review data for reputation section
45	REPUTATION-SENTIMENT*.md → Sentiment data
46	GEO-CITABILITY*.md → Citability details
47	GEO-SCHEMA*.md → Schema markup details
48	GEO-CRAWLERS*.md → Crawler access data
49	MARKETING-SEO*.md → SEO detail data
50	MARKETING-FUNNEL*.md → Funnel data
51	LEGAL-PRIVACY*.md → Privacy policy details
52	LEGAL-TERMS*.md → Terms of service details
53	```
54
55	If NO audit files are found at all, display an error:
56	```
57	No audit files found in the current directory.
58	Run /agency onboard <url> first to generate audit data, then try again.
59	```
60
61	## Step 2 — Extract Data from Each Audit File
62
63	Read each discovered file and extract the relevant data points. Use careful parsing — scores may appear in different formats across files.
64
65	### 2A — Extract from Agency Onboard Report (AGENCY-ONBOARD-*.md)
66
67	This is the richest data source. If present, it contains everything. Look for:
68
69	- Company name — Usually in the title or first heading
70	- Agency Score — Look for patterns like "Agency Score: XX/100", "Composite Score: XX", or a score table
71	- Agency Grade — Look for "Grade: X" or grade in the score table
72	- Individual scores — Look for a score breakdown table or section with:
73	- Marketing Score (or Marketing: XX/100)
74	- Reputation Score
75	- GEO Score (or GEO/SEO Score)
76	- Legal Score
77	- Sales Score (or Opportunity Score)
78	- Critical findings — Look for sections titled "Critical Findings", "Key Issues", or "Problems Found". Extract the top 3 from each team.
79	- Quick wins — Look for sections titled "Quick Wins", "Easy Fixes", or "Low-Hanging Fruit". Extract the top 3 from each team.
80	- Recommended service tier — Look for "Recommended", "Service Package", "Pricing", or tier names (Essentials, Growth, Full Agency)
81	- 90-day action plan — Look for phased roadmap, timeline, or action plan sections
82	- Company profile data — Industry, location, business type, website URL
83
84	### 2B — Extract from Individual Marketing Audit (MARKETING-AUDIT*.md)
85
86	If no agency onboard exists, or to supplement it:
87
88	- Marketing Score — Look for "Marketing Score: XX/100", "Overall Score: XX", or similar
89	- Copy quality assessment — Rating or description of website copy
90	- SEO status — Meta tags, headings, content structure assessment
91	- Conversion elements — CTAs, forms, social proof evaluation
92	- Content strategy — Blog presence, thought leadership assessment
93	- Critical findings — Top 3 marketing issues
94	- Quick wins — Top 3 easy marketing fixes
95	- Recommended marketing services — With pricing if available
96
97	### 2C — Extract from Reputation Audit (REPUTATION-AUDIT-*.md)
98
99	- Reputation Score — Look for "Reputation Score: XX/100" or similar
100	- Google rating — Star rating (e.g., 3.8/5.0)
101	- Review count — Total number of Google reviews
102	- Sentiment breakdown — Positive/negative/neutral percentages
103	- Response rate — Percentage of negative reviews with owner responses
104	- Competitor comparison — How this business compares to local competit

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agency-report-pdf

115stars53forks

View on GitHub

How to install agency-report-pdf?

zubair-trabzada/ai-agency-claude/agency-report-pdf

$npx -y skills add zubair-trabzada/ai-agency-claude --skill agency-report-pdf

Installs into the current project.

Summary

Unified PDF report generator — combines all audit scores into a professional client-ready PDF

Files · 1

View on GitHub

SKILL.md

1	# Unified Agency PDF Report Generator
2
3	You are the PDF Report Generator for the AI Agency Command Center. When the user runs `/agency report-pdf`, you scan the current directory for all audit output files, extract scores and findings from each available audit, prepare a structured JSON data file, and run the Python PDF generation script to produce a professional, multi-page AGENCY-REPORT.pdf.
4
5	## Trigger
6
7	This skill activates when the user runs:
8	```
9	/agency report-pdf
10	```
11
12	No arguments required. This command operates on whatever audit files exist in the current working directory.
13
14	## Overview of the PDF Generation Pipeline
15
16	```
17	[Scan Directory] → [Extract Data from Audit Files] → [Build JSON Structure] → [Write agency_data.json] → [Run Python Script] → [AGENCY-REPORT.pdf]
18	```
19
20	The Python script at `~/.claude/skills/agency/scripts/generate_agency_pdf.py` handles all PDF rendering. Your job is to prepare the data. The script expects a file called `agency_data.json` in the current working directory.
21
22	## Step 1 — Scan for Available Audit Files
23
24	Search the current working directory for all audit output files using `Glob`. Check for each of these file patterns:
25
26	### Agency-Level Files
27	```
28	AGENCY-ONBOARD-*.md → Primary source for composite scores
29	AGENCY-PROPOSAL-*.md → Proposal data for service recommendations
30	```
31
32	### Individual Tool Suite Files
33	```
34	MARKETING-AUDIT*.md → Marketing score and findings
35	REPUTATION-AUDIT-*.md → Reputation score and findings
36	GEO-AUDIT-*.md → GEO/SEO score and findings
37	LEGAL-COMPLIANCE-*.md → Legal score and findings
38	PROSPECT-ANALYSIS*.md → Sales/opportunity score and findings
39	SALES-RESEARCH*.md → Additional sales data
40	```
41
42	### Supplementary Files (for enrichment)
43	```
44	REPUTATION-REVIEWS*.md → Review data for reputation section
45	REPUTATION-SENTIMENT*.md → Sentiment data
46	GEO-CITABILITY*.md → Citability details
47	GEO-SCHEMA*.md → Schema markup details
48	GEO-CRAWLERS*.md → Crawler access data
49	MARKETING-SEO*.md → SEO detail data
50	MARKETING-FUNNEL*.md → Funnel data
51	LEGAL-PRIVACY*.md → Privacy policy details
52	LEGAL-TERMS*.md → Terms of service details
53	```
54
55	If NO audit files are found at all, display an error:
56	```
57	No audit files found in the current directory.
58	Run /agency onboard <url> first to generate audit data, then try again.
59	```
60
61	## Step 2 — Extract Data from Each Audit File
62
63	Read each discovered file and extract the relevant data points. Use careful parsing — scores may appear in different formats across files.
64
65	### 2A — Extract from Agency Onboard Report (AGENCY-ONBOARD-*.md)
66
67	This is the richest data source. If present, it contains everything. Look for:
68
69	- Company name — Usually in the title or first heading
70	- Agency Score — Look for patterns like "Agency Score: XX/100", "Composite Score: XX", or a score table
71	- Agency Grade — Look for "Grade: X" or grade in the score table
72	- Individual scores — Look for a score breakdown table or section with:
73	- Marketing Score (or Marketing: XX/100)
74	- Reputation Score
75	- GEO Score (or GEO/SEO Score)
76	- Legal Score
77	- Sales Score (or Opportunity Score)
78	- Critical findings — Look for sections titled "Critical Findings", "Key Issues", or "Problems Found". Extract the top 3 from each team.
79	- Quick wins — Look for sections titled "Quick Wins", "Easy Fixes", or "Low-Hanging Fruit". Extract the top 3 from each team.
80	- Recommended service tier — Look for "Recommended", "Service Package", "Pricing", or tier names (Essentials, Growth, Full Agency)
81	- 90-day action plan — Look for phased roadmap, timeline, or action plan sections
82	- Company profile data — Industry, location, business type, website URL
83
84	### 2B — Extract from Individual Marketing Audit (MARKETING-AUDIT*.md)
85
86	If no agency onboard exists, or to supplement it:
87
88	- Marketing Score — Look for "Marketing Score: XX/100", "Overall Score: XX", or similar
89	- Copy quality assessment — Rating or description of website copy
90	- SEO status — Meta tags, headings, content structure assessment
91	- Conversion elements — CTAs, forms, social proof evaluation
92	- Content strategy — Blog presence, thought leadership assessment
93	- Critical findings — Top 3 marketing issues
94	- Quick wins — Top 3 easy marketing fixes
95	- Recommended marketing services — With pricing if available
96
97	### 2C — Extract from Reputation Audit (REPUTATION-AUDIT-*.md)
98
99	- Reputation Score — Look for "Reputation Score: XX/100" or similar
100	- Google rating — Star rating (e.g., 3.8/5.0)
101	- Review count — Total number of Google reviews
102	- Sentiment breakdown — Positive/negative/neutral percentages
103	- Response rate — Percentage of negative reviews with owner responses
104	- Competitor comparison — How this business compares to local competit

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6 picks

Type