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