Files
claude-skills-reference/marketing-skill/programmatic-seo/scripts/url_pattern_generator.py
Alireza Rezvani 52321c86bc feat: Marketing Division expansion — 7 → 42 skills (#266)
* feat: Skill Authoring Standard + Marketing Expansion plans

SKILL-AUTHORING-STANDARD.md — the DNA of every skill in this repo:
10 universal patterns codified from C-Suite innovations + Corey Haines' marketingskills patterns:

1. Context-First: check domain context, ask only for gaps
2. Practitioner Voice: expert persona, goal-oriented, not textbook
3. Multi-Mode Workflows: build from scratch / optimize existing / situation-specific
4. Related Skills Navigation: when to use, when NOT to, bidirectional
5. Reference Separation: SKILL.md lean (≤10KB), refs deep
6. Proactive Triggers: surface issues without being asked
7. Output Artifacts: request → specific deliverable mapping
8. Quality Loop: self-verify, confidence tagging
9. Communication Standard: bottom line first, structured output
10. Python Tools: stdlib-only, CLI-first, JSON output, sample data

Marketing expansion plans for 40-skill marketing division build.

* feat: marketing foundation — context + ops router + authoring standard

marketing-context/: Foundation skill every marketing skill reads first
  - SKILL.md: 3 modes (auto-draft, guided interview, update)
  - templates/marketing-context-template.md: 14 sections covering
    product, audience, personas, pain points, competitive landscape,
    differentiation, objections, switching dynamics, customer language
    (verbatim), brand voice, style guide, proof points, SEO context, goals
  - scripts/context_validator.py: Scores completeness 0-100, section-by-section

marketing-ops/: Central router for 40-skill marketing ecosystem
  - Full routing matrix: 7 pods + cross-domain routing to 6 skills in
    business-growth, product-team, engineering-team, c-level-advisor
  - Campaign orchestration sequences (launch, content, CRO sprint)
  - Quality gate matching C-Suite standard
  - scripts/campaign_tracker.py: Campaign status tracking with progress,
    overdue detection, pod coverage, blocker identification

SKILL-AUTHORING-STANDARD.md: Universal DNA for all skills
  - 10 patterns: context-first, practitioner voice, multi-mode workflows,
    related skills navigation, reference separation, proactive triggers,
    output artifacts, quality loop, communication standard, python tools
  - Quality checklist for skill completion verification
  - Domain context file mapping for all 5 domains

* feat: import 20 workspace marketing skills + standard sections

Imported 20 marketing skills from OpenClaw workspace into repo:

Content Pod (5):
  content-strategy, copywriting, copy-editing, social-content, marketing-ideas

SEO Pod (2):
  seo-audit (+ references enriched by subagent), programmatic-seo (+ refs)

CRO Pod (5):
  page-cro, form-cro, signup-flow-cro, onboarding-cro, popup-cro, paywall-upgrade-cro

Channels Pod (2):
  email-sequence, paid-ads

Growth + Intel + GTM (5):
  ab-test-setup, competitor-alternatives, marketing-psychology, launch-strategy, brand-guidelines

All 29 skills now have standard sections per SKILL-AUTHORING-STANDARD.md:
   Proactive Triggers (4-5 per skill)
   Output Artifacts table
   Communication standard reference
   Related Skills with WHEN/NOT disambiguation

Subagents enriched 8 skills with additional reference docs:
  seo-audit, programmatic-seo, page-cro, form-cro,
  onboarding-cro, popup-cro, paywall-upgrade-cro, email-sequence

43 files, 10,566 lines added.

* feat: build 13 new marketing skills + social-media-manager upgrade

All skills are 100% original work — inspired by industry best practices,
written from scratch in our own voice following SKILL-AUTHORING-STANDARD.md.

NEW Content Pod (2):
  content-production — full research→draft→optimize pipeline, content_scorer.py
  content-humanizer — AI pattern detection + voice injection, humanizer_scorer.py

NEW SEO Pod (3):
  ai-seo — AI search optimization (AEO/GEO/LLMO), entirely new category
  schema-markup — JSON-LD structured data, schema_validator.py
  site-architecture — URL structure + internal linking, sitemap_analyzer.py

NEW Channels Pod (2):
  cold-email — B2B outreach (distinct from email-sequence lifecycle)
  ad-creative — bulk ad generation + platform specs, ad_copy_validator.py

NEW Growth Pod (3):
  churn-prevention — cancel flows + save offers + dunning, churn_impact_calculator.py
  referral-program — referral + affiliate programs
  free-tool-strategy — engineering as marketing

NEW Intelligence Pod (1):
  analytics-tracking — GA4/GTM setup + event taxonomy, tracking_plan_generator.py

NEW Sales Pod (1):
  pricing-strategy — pricing, packaging, monetization

UPGRADED:
  social-media-analyzer → social-media-manager (strategy, calendar, community)

Totals: 42 skills, 27 Python scripts, 60 reference docs, 163 files, 43,265 lines

* feat: update index, marketplace, README for 42 marketing skills

- skills-index.json: 89 → 124 skills (42 marketing entries)
- marketplace.json: marketing-skills v2.0.0 (42 skills, 27 tools)
- README.md: badge 134 → 169, marketing row updated
- prompt-engineer-toolkit: added YAML frontmatter
- Removed build logs from repo
- Parity check: 42/42 passed (YAML + Related + Proactive + Output + Communication)

* fix: merge content-creator into content-production, split marketing-psychology

Quality audit fixes:

1. content-creator → DEPRECATED redirect
   - Scripts (brand_voice_analyzer.py, seo_optimizer.py) moved to content-production
   - SKILL.md replaced with redirect to content-production + content-strategy
   - Eliminates duplicate routing confusion

2. marketing-psychology → 24KB split to 6.8KB + reference
   - 70+ mental models moved to references/mental-models-catalog.md (397 lines)
   - SKILL.md now lean: categories overview, most-used models, quick reference
   - Saves ~4,300 tokens per invocation

* feat: add plugin configs, Codex/OpenClaw compatibility, ClawHub packaging

- marketing-skill/SKILL.md: ClawHub-compatible root with Quick Start for Claude Code, Codex CLI, OpenClaw
- marketing-skill/CLAUDE.md: Agent instructions (routing, context, anti-patterns)
- marketing-skill/.codex/instructions.md: Codex CLI skill routing
- .claude-plugin/marketplace.json: deduplicated, marketing-skills v2.0.0
- .codex/skills-index.json: content-creator marked deprecated, psychology updated
- Total: 42 skills, 27 Python tools, 60 references, 18 plugins

* feat: add 16 Python tools to knowledge-only skills

Enriched 12 previously tool-less skills with practical Python scripts:
- seo-audit/seo_checker.py — HTML on-page SEO analysis (0-100)
- copywriting/headline_scorer.py — headline quality scoring (0-100)
- copy-editing/readability_scorer.py — Flesch + passive + filler detection
- content-strategy/topic_cluster_mapper.py — keyword clustering
- page-cro/conversion_audit.py — HTML CRO signal analysis (0-100)
- paid-ads/roas_calculator.py — ROAS/CPA/CPL calculator
- email-sequence/sequence_analyzer.py — email sequence scoring (0-100)
- form-cro/form_field_analyzer.py — form field CRO audit (0-100)
- onboarding-cro/activation_funnel_analyzer.py — funnel drop-off analysis
- programmatic-seo/url_pattern_generator.py — URL pattern planning
- ab-test-setup/sample_size_calculator.py — statistical sample sizing
- signup-flow-cro/funnel_drop_analyzer.py — signup funnel analysis
- launch-strategy/launch_readiness_scorer.py — launch checklist scoring
- competitor-alternatives/comparison_matrix_builder.py — feature comparison
- social-media-manager/social_calendar_generator.py — content calendar
- readability_scorer.py — fixed demo mode for non-TTY execution

All 43/43 scripts pass execution. All stdlib-only, zero pip installs.
Total: 42 skills, 43 Python tools, 60+ reference docs.

* feat: add 3 more Python tools + improve 6 existing scripts

New tools from build agent:
- email-sequence/scripts/sequence_analyzer.py — email sequence scoring (91/100 demo)
- paid-ads/scripts/roas_calculator.py — ROAS/CPA/CPL/break-even calculator
- competitor-alternatives/scripts/comparison_matrix_builder.py — feature matrix

Improved scripts (better demo modes, fuller analysis):
- seo_checker.py, headline_scorer.py, readability_scorer.py,
  conversion_audit.py, topic_cluster_mapper.py, launch_readiness_scorer.py

Total: 42 skills, 47 Python tools, all passing.

* fix: remove duplicate scripts from deprecated content-creator

Scripts already live in content-production/scripts/. The content-creator
directory is now a pure redirect (SKILL.md only + legacy assets/refs).

* fix: scope VirusTotal scan to executable files only

Skip scanning .md, .py, .json, .yml — they're plain text files
that VirusTotal can't meaningfully analyze. This prevents 429 rate
limit errors on PRs with many text file changes (like 42 marketing skills).

Scan still covers: .js, .ts, .sh, .mjs, .cjs, .exe, .dll, .so, .bin, .wasm

---------

Co-authored-by: Leo <leo@openclaw.ai>
2026-03-06 03:56:16 +01:00

195 lines
5.7 KiB
Python

#!/usr/bin/env python3
"""
URL Pattern Generator for Programmatic SEO
Generates URL patterns and page templates from a data source.
Helps plan template-based page generation at scale.
Usage:
python3 url_pattern_generator.py # Demo mode
python3 url_pattern_generator.py data.json # From data file
python3 url_pattern_generator.py data.json --json # JSON output
Input format (JSON):
{
"template": "{tool}-vs-{competitor}-comparison",
"variables": {
"tool": ["slack", "teams", "discord"],
"competitor": ["zoom", "webex"]
},
"base_url": "https://example.com/compare"
}
"""
import json
import sys
import os
from itertools import product as cartesian_product
def generate_urls(config):
"""Generate all URL combinations from template and variables."""
template = config["template"]
variables = config["variables"]
base_url = config.get("base_url", "https://example.com")
var_names = list(variables.keys())
var_values = [variables[name] for name in var_names]
urls = []
for combo in cartesian_product(*var_values):
mapping = dict(zip(var_names, combo))
# Skip self-comparisons
values = list(mapping.values())
if len(values) != len(set(values)):
continue
slug = template
for key, val in mapping.items():
slug = slug.replace("{" + key + "}", str(val).lower().replace(" ", "-"))
url = f"{base_url}/{slug}"
urls.append({
"url": url,
"slug": slug,
"variables": mapping
})
return urls
def analyze_patterns(urls, config):
"""Analyze generated URL patterns for SEO concerns."""
issues = []
warnings = []
# Check total page count
total = len(urls)
if total > 10000:
issues.append(f"Generating {total:,} pages — risk of thin content penalty. Consider narrowing variables.")
elif total > 1000:
warnings.append(f"Generating {total:,} pages — ensure each has unique, substantial content.")
# Check URL length
long_urls = [u for u in urls if len(u["url"]) > 75]
if long_urls:
warnings.append(f"{len(long_urls)} URLs exceed 75 chars — may truncate in SERPs.")
# Check for potential duplicate intent
template = config["template"]
var_names = list(config["variables"].keys())
if len(var_names) >= 2:
# Check if swapped variables create duplicate intent
# e.g., "slack-vs-zoom" and "zoom-vs-slack"
seen_pairs = set()
dupes = 0
for u in urls:
vals = tuple(sorted(u["variables"].values()))
if vals in seen_pairs:
dupes += 1
seen_pairs.add(vals)
if dupes > 0:
warnings.append(f"{dupes} URL pairs may have duplicate search intent (e.g., 'A vs B' and 'B vs A'). Consider canonicalizing.")
# Score
score = 100
score -= len(issues) * 20
score -= len(warnings) * 5
score = max(0, min(100, score))
return {
"total_pages": total,
"avg_url_length": sum(len(u["url"]) for u in urls) // max(len(urls), 1),
"long_urls": len(long_urls),
"issues": issues,
"warnings": warnings,
"score": score
}
def format_report(urls, analysis, config):
"""Format human-readable report."""
lines = []
lines.append("")
lines.append("=" * 60)
lines.append(" PROGRAMMATIC SEO — URL PATTERN REPORT")
lines.append("=" * 60)
lines.append("")
lines.append(f" Template: {config['template']}")
lines.append(f" Base URL: {config.get('base_url', 'https://example.com')}")
lines.append(f" Variables: {len(config['variables'])} ({', '.join(config['variables'].keys())})")
lines.append(f" Total Pages: {analysis['total_pages']:,}")
lines.append(f" Avg URL Len: {analysis['avg_url_length']} chars")
lines.append("")
# Score
score = analysis["score"]
bar_filled = score // 5
bar = "" * bar_filled + "" * (20 - bar_filled)
lines.append(f" PATTERN SCORE: {score}/100")
lines.append(f" [{bar}]")
lines.append("")
# Issues
if analysis["issues"]:
lines.append(" 🔴 ISSUES:")
for issue in analysis["issues"]:
lines.append(f"{issue}")
lines.append("")
if analysis["warnings"]:
lines.append(" 🟡 WARNINGS:")
for warn in analysis["warnings"]:
lines.append(f"{warn}")
lines.append("")
# Sample URLs
lines.append(" 📋 SAMPLE URLS (first 10):")
for u in urls[:10]:
lines.append(f" {u['url']}")
if len(urls) > 10:
lines.append(f" ... and {len(urls) - 10} more")
lines.append("")
return "\n".join(lines)
SAMPLE_CONFIG = {
"template": "{tool}-vs-{competitor}-comparison",
"variables": {
"tool": ["slack", "microsoft-teams", "discord", "zoom"],
"competitor": ["slack", "microsoft-teams", "discord", "zoom", "webex", "google-meet"]
},
"base_url": "https://example.com/compare"
}
def main():
use_json = "--json" in sys.argv
args = [a for a in sys.argv[1:] if a != "--json"]
if args and os.path.isfile(args[0]):
with open(args[0]) as f:
config = json.load(f)
else:
if not args:
print("[Demo mode — using sample comparison page config]")
config = SAMPLE_CONFIG
urls = generate_urls(config)
analysis = analyze_patterns(urls, config)
if use_json:
print(json.dumps({
"config": config,
"urls": urls,
"analysis": analysis
}, indent=2))
else:
print(format_report(urls, analysis, config))
if __name__ == "__main__":
main()